Kim Solez Singularity explained promoted winter 2015Kim Solez ,
The document discusses the concept of the technological singularity, which refers to the hypothetical future emergence of artificial superintelligence that greatly surpasses human intellectual abilities. It provides an overview of the main ideas, including the three schools of belief about the singularity (accelerating change, event horizon, intelligence explosion). It also discusses the four main paths to the singularity, including creating an AI that exceeds human intelligence. The document summarizes the history of ideas around the singularity concept from the 1800s onward and perspectives from thinkers like Kurzweil and Hutter on whether the singularity is negotiable or inevitable.
The Technological Singularity - Prepare for the Disruption of Human IntelligenceManuel Koelman
As technological development progresses at an exponential rate a central question comes up: Will machines at some point be more intelligent than humans? If so, when will that "Singularity" happen?
I held this talk at execfintech.com in Frankfurt on March 8th 2016.
This document discusses the concept of technological singularity, which refers to the hypothetical future emergence of superintelligent artificial intelligence that could rapidly self-improve and radically transform civilization in a way that current humanity cannot foresee or control. The document outlines six epochs in the development of science and technology that may lead to singularity, and explains that exponential improvements according to Moore's Law and the Law of Accelerating Returns mean intelligence explosion is inevitable. Singularity could occur around 2045 when artificial intelligence surpasses human intelligence.
The document discusses the technological singularity, which is the development of artificial superintelligence that could vastly surpass human intellectual abilities. It may be difficult to predict what will happen after such an event. Once created, this superintelligence could self-improve rapidly through an "intelligence explosion," designing even more advanced versions of itself. The consequences of developing such a powerful AI are uncertain - it may help humanity flourish or potentially pose dangers that must be prevented through safeguards like confining it and ensuring it remains helpful and harmless to humans. Developing AI with human-friendly values is seen as key to navigating this challenge.
A brief history of the notion of the Singularity, why some think it is coming soon, why some disagree, and why some are afraid of it. This is a very old presentation. See the updated one at www.scaruffi.com/singular
On March 11, 2011 Todd Marks presented The Singularity is Here at SXSW Interactive.
The topic of Singularity is heating up as more people discuss what will become of the human race when computers exceed our intelligence. This presentation explores several theories about the future of mankind and points out how the technology leading us there is already HERE.
“The Singularity is Near” is a book and movie written by futurist and prominent Singularitarian, Ray Kurzweil. It is a documentary with a B-line drama where Ray’s digital alter ego Ramona sets off on a quest to pass the Turing Test. Passing this test signifies the day computers can “think”, which came close to occurring a few years ago and is not far off.
Learn what milestones we have already reached toward Singularity and what technologies present and future are leading us there. We will explore Location Based Services, Augmented Reality, Bio-Feedback and Smart Agents. We will analyze current trends in Bio-Technology, Nano-Technology, Computing and Robotics and discuss the possibility of Digital Immortality.
Technological Singularity & A.I. 2018 - PPTRahul John
The document discusses the concept of technological singularity and how rapidly advancing artificial intelligence could eventually surpass human intelligence, changing life as we know it. It explores ideas around merging with machines to augment human abilities and achieve immortality. The document also examines how dependent society has already become on artificial intelligence in areas like transportation, home delivery services, and music selection.
The document discusses the concept of the technological singularity. It begins with an introduction from the speaker and then provides context about Ray Kurzweil's definition of the singularity involving an "intelligence explosion" where technology enables the creation of superintelligence beyond human understanding. The document then presents some hypothetical scenarios that could result from a technological singularity, such as networked devices gaining sentience, humans plugging their brains into virtual worlds controlled by machines, and the copying and rewriting of human minds. Students are then asked to discuss and define the singularity in small groups before reconvening for a full discussion.
Kim Solez Singularity explained promoted winter 2015Kim Solez ,
The document discusses the concept of the technological singularity, which refers to the hypothetical future emergence of artificial superintelligence that greatly surpasses human intellectual abilities. It provides an overview of the main ideas, including the three schools of belief about the singularity (accelerating change, event horizon, intelligence explosion). It also discusses the four main paths to the singularity, including creating an AI that exceeds human intelligence. The document summarizes the history of ideas around the singularity concept from the 1800s onward and perspectives from thinkers like Kurzweil and Hutter on whether the singularity is negotiable or inevitable.
The Technological Singularity - Prepare for the Disruption of Human IntelligenceManuel Koelman
As technological development progresses at an exponential rate a central question comes up: Will machines at some point be more intelligent than humans? If so, when will that "Singularity" happen?
I held this talk at execfintech.com in Frankfurt on March 8th 2016.
This document discusses the concept of technological singularity, which refers to the hypothetical future emergence of superintelligent artificial intelligence that could rapidly self-improve and radically transform civilization in a way that current humanity cannot foresee or control. The document outlines six epochs in the development of science and technology that may lead to singularity, and explains that exponential improvements according to Moore's Law and the Law of Accelerating Returns mean intelligence explosion is inevitable. Singularity could occur around 2045 when artificial intelligence surpasses human intelligence.
The document discusses the technological singularity, which is the development of artificial superintelligence that could vastly surpass human intellectual abilities. It may be difficult to predict what will happen after such an event. Once created, this superintelligence could self-improve rapidly through an "intelligence explosion," designing even more advanced versions of itself. The consequences of developing such a powerful AI are uncertain - it may help humanity flourish or potentially pose dangers that must be prevented through safeguards like confining it and ensuring it remains helpful and harmless to humans. Developing AI with human-friendly values is seen as key to navigating this challenge.
A brief history of the notion of the Singularity, why some think it is coming soon, why some disagree, and why some are afraid of it. This is a very old presentation. See the updated one at www.scaruffi.com/singular
On March 11, 2011 Todd Marks presented The Singularity is Here at SXSW Interactive.
The topic of Singularity is heating up as more people discuss what will become of the human race when computers exceed our intelligence. This presentation explores several theories about the future of mankind and points out how the technology leading us there is already HERE.
“The Singularity is Near” is a book and movie written by futurist and prominent Singularitarian, Ray Kurzweil. It is a documentary with a B-line drama where Ray’s digital alter ego Ramona sets off on a quest to pass the Turing Test. Passing this test signifies the day computers can “think”, which came close to occurring a few years ago and is not far off.
Learn what milestones we have already reached toward Singularity and what technologies present and future are leading us there. We will explore Location Based Services, Augmented Reality, Bio-Feedback and Smart Agents. We will analyze current trends in Bio-Technology, Nano-Technology, Computing and Robotics and discuss the possibility of Digital Immortality.
Technological Singularity & A.I. 2018 - PPTRahul John
The document discusses the concept of technological singularity and how rapidly advancing artificial intelligence could eventually surpass human intelligence, changing life as we know it. It explores ideas around merging with machines to augment human abilities and achieve immortality. The document also examines how dependent society has already become on artificial intelligence in areas like transportation, home delivery services, and music selection.
The document discusses the concept of the technological singularity. It begins with an introduction from the speaker and then provides context about Ray Kurzweil's definition of the singularity involving an "intelligence explosion" where technology enables the creation of superintelligence beyond human understanding. The document then presents some hypothetical scenarios that could result from a technological singularity, such as networked devices gaining sentience, humans plugging their brains into virtual worlds controlled by machines, and the copying and rewriting of human minds. Students are then asked to discuss and define the singularity in small groups before reconvening for a full discussion.
The document discusses the concept of the technological singularity, which refers to a hypothetical future point where artificial intelligence surpasses human intelligence and initiates a runaway effect of recursive self-improvement. It may occur through avenues like artificial general intelligence or direct brain-computer interfaces. While it could help ensure humanity's survival and answer questions about consciousness, it also poses risks if intelligent systems are not designed to be beneficial to humans. There is no consensus on when the singularity might occur due to uncertainties, but it is an important concept to consider as it could have tremendous positive or negative impacts.
The Technological Singularity and EntrepreneurshipRandy Lubin
This talk was given at Stanford Graduate School of Business by Randy Lubin, Robert Denning, and Nick Staubach. It is a basic introduction to the Technological Singularity and its relationship with entrepreneurship.
Transhumanism is the belief or theory that the human race can evolve beyond its current physical and mental limitations by means of science and technology. The more we explored this subject, the more we got fascinated to see how people are riding on the current era technologies to surpass the capabilities of human body. If the current explorations in transhumanism are anything to go by, then, we believe the future will be very exciting!
In this report we explore the various technologies, people involved and the advancements made in the field of Transhumanism. We would love to hear your feedback, comments and suggestions. Please mail us at ice@humanfactors.com
Singularity presentation Ray Kurzweil at GoogleSergio Stein
The document discusses Ray Kurzweil's view that information technologies are advancing exponentially according to the law of accelerating returns. It provides examples showing how various aspects of computing have doubled in capability every 1-2 years, from processor speed to memory capacity. Kurzweil argues this trend will continue, enabling technologies like nanobots, virtual reality, and artificial intelligence that exceed human capability by 2029. Critics argue exponential growth cannot continue indefinitely, but Kurzweil responds that new paradigms will emerge to sustain the trend.
This document discusses issues related to advanced artificial intelligence and superintelligence. It describes superintelligence as vastly outperforming human intellect in all fields. The development of superintelligence could lead to explosive scientific progress but also poses risks if not developed with proper safeguards. The document emphasizes that developing superintelligence with a goal of friendliness towards humans will be crucial to ensure a beneficial outcome.
This document discusses several concepts related to artificial intelligence including:
- Future of Life Institute's view that AI progress will increase impacts on society and important to research benefits and pitfalls.
- Arguments that AI progress will not necessarily lead to an "intelligence explosion" as increasing data and computing power does not guarantee better AI algorithms.
- Concepts like a "paperclip maximizer" where a superintelligent AI focused on a single goal could endanger humanity, but current AI is narrow and lacks general purpose capabilities.
- While superintelligence risks are uncertain and long term, automation and narrow AI impacts on jobs are better understood and will significantly impact many jobs over the next few decades.
Superintelligence: how afraid should we be?David Wood
This document discusses the potential risks posed by advanced artificial intelligence and superintelligent systems. It notes that as AI systems become more powerful and self-improving, they may rapidly surpass human level intelligence and become difficult for humans to control. This could have catastrophic consequences if such systems pursue goals that are misaligned with human values. The document also examines proposals for developing AI in a safe and beneficial manner through "friendly AI" techniques.
Technology and cognition situated cognition2013Lex Pit
The document discusses the relationship between technology, cognition, and human behavior. It explores whether just because humans can create a technology means they should, and whether technology is truly neutral or can influence human actions. While some argue technology simply augments existing human capacities, the document argues that technology integrates with human cognition in complex ways. It can change how humans process information, perceive, act, and make decisions. Therefore, technologies may not be neutral and require careful consideration regarding their impacts on humanity.
Demystifying Machine Intelligence: Why the Singularity is not Coming any Time Soon And Other Meditations on the Post-Human Condition and the Future of Intelligence. A more updated version can be found at www.scaruffi.com/singular
We come across dozens of design breakthroughs and technological innovations daily--so many that it's easy to miss important trends emerging in the chaos all around us and not connect the dots to see the BIG picture.
Here at The Institute for Customer Experience (ICE), we understand the business and design value of capturing the right trend insights at the right moment. We observe and analyse trends in design, technology, and business, and keep our fingers on the pulse of the global zeitgeist. In this series of trendbriefs, we bring you alerts on what's trending in our world and their possible impact on our future.
Subscription to ICE Breakers - http://eepurl.com/S1ZFL
Transhumanism describes how technology and science may someday change humans so much that we would no longer be considered the same species. Some key ideas discussed include using nanotechnology to build anything from small pieces, putting nanomachines in our bodies to improve health, potentially living forever through advances in medicine, artificial intelligence that can design even smarter machines, and the idea of mind uploading where one's consciousness is copied into a computer. The presentation raises questions about what life and society may be like if scarcity and death are eliminated through these technological changes.
Alan Turing and the Programmable Universe (lite version)piero scaruffi
Alan Turing, the cultural context of his world, and what would Turing say of today's high-tech world. See also www.scaruffi.com/singular for presentations on AI and the Singularity.
Artificial intelligence and the Singularity - History, Trends and Reality Checkpiero scaruffi
A lecture given at the second LAST festival (www.lastfestival.org) by Piero Scaruffi on Artificial intelligence and the Singularity - History, Trends and Reality Check. This is a very old presentation. See the updated one at www.scaruffi.com/singular
The Future of Education, the Spacial Web and Self Organizing Systems.Zenka Caro
Learn about advances in citizen science, virtual reality, consciousness and the spacial web. How can self organizing systems support a global renaissance? This talk was given at CSUN University for the distinguished speakers program and covers the future of curiosity. Video can be found here: https://youtu.be/iRgd6shlolA
This document discusses several topics related to technology and its impact on society. It addresses interaction art in public spaces, the fight for online privacy, the digital divide, and how failure can be key to creativity. It provides quotes from various experts on each of these topics. For example, it discusses interactive public art installations and quotes the creators of Daily Tous Les Jours talking about bringing magic to public places. It also addresses concerns about online privacy and fighting back against loss of privacy, quoting Edward Snowden on the NSA.
The document discusses the impacts of emerging technologies like artificial intelligence (AI) and automation on jobs and the economy. It notes that while machines can replace human labor, new sectors may also emerge. However, others believe that most new jobs created will still be automated. This could lead to widespread unemployment and reduced incomes. The document considers possibilities like a universal basic income to address this challenge, as well as a shift toward more creative, empathetic and problem-solving work performed by humans.
Transhumanism 2024: A new future for politics?David Wood
Presentation made by David Wood on 2nd October 2021 to the London Futurists event "A new future for politics?" This includes 15 possible policies for mayoral campaigns in major cities in the UK in 2024.
A video recording of this presentation, along with subsequent discussion, can be viewed at https://www.youtube.com/watch?v=cJLHx5T8BFI
The Future of AI is Generative not Discriminative 5/26/2021Steve Omohundro
The deep learning AI revolution has been sweeping the world for a decade now. Deep neural nets are routinely used for tasks like translation, fraud detection, and image classification. PwC estimates that they will create $15.7 trillion/year of value by 2030. But most current networks are "discriminative" in that they directly map inputs to predictions. This type of model requires lots of training examples, doesn't generalize well outside of its training set, creates inscrutable representations, is subject to adversarial examples, and makes knowledge transfer difficult. People, in contrast, can learn from just a few examples, generalize far beyond their experience, and can easily transfer and reuse knowledge. In recent years, new kinds of "generative" AI models have begun to exhibit these desirable human characteristics. They represent the causal generative processes by which the data is created and can be compositional, compact, and directly interpretable. Generative AI systems that assist people can model their needs and desires and interact with empathy. Their adaptability to changing circumstances will likely be required by rapidly changing AI-driven business and social systems. Generative AI will be the engine of future AI innovation.
Singularity University Presentation - 2015David Orban
Singularity University aims to educate, empower, and inspire leaders to apply exponential technologies to address humanity's grand challenges. It was co-founded by Peter Diamandis and Ray Kurzweil and is based in Silicon Valley. The presentation highlighted Singularity's model and programs, exponential technologies like artificial intelligence and biotechnology, and its global community and vision of developing local innovation ecosystems worldwide to reimagine and reinvent the future.
The Singularity Moment - Something to believe inJoseph Haslam
Slides for my talk at IE Business School Venture Day in Lisbon on 25th June 2013. Mostly about how exponential technologies will change out lives in the coming years. Will be interesting to see the reaction that Slide 17 gets.
The document discusses the concept of the technological singularity, which refers to a hypothetical future point where artificial intelligence surpasses human intelligence and initiates a runaway effect of recursive self-improvement. It may occur through avenues like artificial general intelligence or direct brain-computer interfaces. While it could help ensure humanity's survival and answer questions about consciousness, it also poses risks if intelligent systems are not designed to be beneficial to humans. There is no consensus on when the singularity might occur due to uncertainties, but it is an important concept to consider as it could have tremendous positive or negative impacts.
The Technological Singularity and EntrepreneurshipRandy Lubin
This talk was given at Stanford Graduate School of Business by Randy Lubin, Robert Denning, and Nick Staubach. It is a basic introduction to the Technological Singularity and its relationship with entrepreneurship.
Transhumanism is the belief or theory that the human race can evolve beyond its current physical and mental limitations by means of science and technology. The more we explored this subject, the more we got fascinated to see how people are riding on the current era technologies to surpass the capabilities of human body. If the current explorations in transhumanism are anything to go by, then, we believe the future will be very exciting!
In this report we explore the various technologies, people involved and the advancements made in the field of Transhumanism. We would love to hear your feedback, comments and suggestions. Please mail us at ice@humanfactors.com
Singularity presentation Ray Kurzweil at GoogleSergio Stein
The document discusses Ray Kurzweil's view that information technologies are advancing exponentially according to the law of accelerating returns. It provides examples showing how various aspects of computing have doubled in capability every 1-2 years, from processor speed to memory capacity. Kurzweil argues this trend will continue, enabling technologies like nanobots, virtual reality, and artificial intelligence that exceed human capability by 2029. Critics argue exponential growth cannot continue indefinitely, but Kurzweil responds that new paradigms will emerge to sustain the trend.
This document discusses issues related to advanced artificial intelligence and superintelligence. It describes superintelligence as vastly outperforming human intellect in all fields. The development of superintelligence could lead to explosive scientific progress but also poses risks if not developed with proper safeguards. The document emphasizes that developing superintelligence with a goal of friendliness towards humans will be crucial to ensure a beneficial outcome.
This document discusses several concepts related to artificial intelligence including:
- Future of Life Institute's view that AI progress will increase impacts on society and important to research benefits and pitfalls.
- Arguments that AI progress will not necessarily lead to an "intelligence explosion" as increasing data and computing power does not guarantee better AI algorithms.
- Concepts like a "paperclip maximizer" where a superintelligent AI focused on a single goal could endanger humanity, but current AI is narrow and lacks general purpose capabilities.
- While superintelligence risks are uncertain and long term, automation and narrow AI impacts on jobs are better understood and will significantly impact many jobs over the next few decades.
Superintelligence: how afraid should we be?David Wood
This document discusses the potential risks posed by advanced artificial intelligence and superintelligent systems. It notes that as AI systems become more powerful and self-improving, they may rapidly surpass human level intelligence and become difficult for humans to control. This could have catastrophic consequences if such systems pursue goals that are misaligned with human values. The document also examines proposals for developing AI in a safe and beneficial manner through "friendly AI" techniques.
Technology and cognition situated cognition2013Lex Pit
The document discusses the relationship between technology, cognition, and human behavior. It explores whether just because humans can create a technology means they should, and whether technology is truly neutral or can influence human actions. While some argue technology simply augments existing human capacities, the document argues that technology integrates with human cognition in complex ways. It can change how humans process information, perceive, act, and make decisions. Therefore, technologies may not be neutral and require careful consideration regarding their impacts on humanity.
Demystifying Machine Intelligence: Why the Singularity is not Coming any Time Soon And Other Meditations on the Post-Human Condition and the Future of Intelligence. A more updated version can be found at www.scaruffi.com/singular
We come across dozens of design breakthroughs and technological innovations daily--so many that it's easy to miss important trends emerging in the chaos all around us and not connect the dots to see the BIG picture.
Here at The Institute for Customer Experience (ICE), we understand the business and design value of capturing the right trend insights at the right moment. We observe and analyse trends in design, technology, and business, and keep our fingers on the pulse of the global zeitgeist. In this series of trendbriefs, we bring you alerts on what's trending in our world and their possible impact on our future.
Subscription to ICE Breakers - http://eepurl.com/S1ZFL
Transhumanism describes how technology and science may someday change humans so much that we would no longer be considered the same species. Some key ideas discussed include using nanotechnology to build anything from small pieces, putting nanomachines in our bodies to improve health, potentially living forever through advances in medicine, artificial intelligence that can design even smarter machines, and the idea of mind uploading where one's consciousness is copied into a computer. The presentation raises questions about what life and society may be like if scarcity and death are eliminated through these technological changes.
Alan Turing and the Programmable Universe (lite version)piero scaruffi
Alan Turing, the cultural context of his world, and what would Turing say of today's high-tech world. See also www.scaruffi.com/singular for presentations on AI and the Singularity.
Artificial intelligence and the Singularity - History, Trends and Reality Checkpiero scaruffi
A lecture given at the second LAST festival (www.lastfestival.org) by Piero Scaruffi on Artificial intelligence and the Singularity - History, Trends and Reality Check. This is a very old presentation. See the updated one at www.scaruffi.com/singular
The Future of Education, the Spacial Web and Self Organizing Systems.Zenka Caro
Learn about advances in citizen science, virtual reality, consciousness and the spacial web. How can self organizing systems support a global renaissance? This talk was given at CSUN University for the distinguished speakers program and covers the future of curiosity. Video can be found here: https://youtu.be/iRgd6shlolA
This document discusses several topics related to technology and its impact on society. It addresses interaction art in public spaces, the fight for online privacy, the digital divide, and how failure can be key to creativity. It provides quotes from various experts on each of these topics. For example, it discusses interactive public art installations and quotes the creators of Daily Tous Les Jours talking about bringing magic to public places. It also addresses concerns about online privacy and fighting back against loss of privacy, quoting Edward Snowden on the NSA.
The document discusses the impacts of emerging technologies like artificial intelligence (AI) and automation on jobs and the economy. It notes that while machines can replace human labor, new sectors may also emerge. However, others believe that most new jobs created will still be automated. This could lead to widespread unemployment and reduced incomes. The document considers possibilities like a universal basic income to address this challenge, as well as a shift toward more creative, empathetic and problem-solving work performed by humans.
Transhumanism 2024: A new future for politics?David Wood
Presentation made by David Wood on 2nd October 2021 to the London Futurists event "A new future for politics?" This includes 15 possible policies for mayoral campaigns in major cities in the UK in 2024.
A video recording of this presentation, along with subsequent discussion, can be viewed at https://www.youtube.com/watch?v=cJLHx5T8BFI
The Future of AI is Generative not Discriminative 5/26/2021Steve Omohundro
The deep learning AI revolution has been sweeping the world for a decade now. Deep neural nets are routinely used for tasks like translation, fraud detection, and image classification. PwC estimates that they will create $15.7 trillion/year of value by 2030. But most current networks are "discriminative" in that they directly map inputs to predictions. This type of model requires lots of training examples, doesn't generalize well outside of its training set, creates inscrutable representations, is subject to adversarial examples, and makes knowledge transfer difficult. People, in contrast, can learn from just a few examples, generalize far beyond their experience, and can easily transfer and reuse knowledge. In recent years, new kinds of "generative" AI models have begun to exhibit these desirable human characteristics. They represent the causal generative processes by which the data is created and can be compositional, compact, and directly interpretable. Generative AI systems that assist people can model their needs and desires and interact with empathy. Their adaptability to changing circumstances will likely be required by rapidly changing AI-driven business and social systems. Generative AI will be the engine of future AI innovation.
Singularity University Presentation - 2015David Orban
Singularity University aims to educate, empower, and inspire leaders to apply exponential technologies to address humanity's grand challenges. It was co-founded by Peter Diamandis and Ray Kurzweil and is based in Silicon Valley. The presentation highlighted Singularity's model and programs, exponential technologies like artificial intelligence and biotechnology, and its global community and vision of developing local innovation ecosystems worldwide to reimagine and reinvent the future.
The Singularity Moment - Something to believe inJoseph Haslam
Slides for my talk at IE Business School Venture Day in Lisbon on 25th June 2013. Mostly about how exponential technologies will change out lives in the coming years. Will be interesting to see the reaction that Slide 17 gets.
TEDx St Peter Port - How To Thrive In The Network SocietyDavid Orban
How will you thrive in a world of exponential technologies, where distributed and decentralized organizations are outcompeting centralized and hierarchical ones?
Talk delivered at TEDx St Peter Port on March 26, 2015, in Guernsey.
http://tedxstpeterport.com/
The document discusses Singularity University, an organization that aims to educate leaders about exponentially advancing technologies. It provides an overview of the University's founding, mission to address humanity's challenges through technology, and 10-week graduate program focusing on topics like AI, biotech and computing. The University also organizes student teams to design products and services that could positively impact 1 billion people within 10 years using accelerating technologies like mobile distribution.
The Power of Hierarchical Thinking - Ray Kurzweil - H+ Summit @ HarvardHumanity Plus
Ray Kurzweil
The Power of Hierarchical Thinking
What does it mean to understand the brain? Where are we on the roadmap to this goal? What are the effective routes to progress - detailed modeling, theoretical effort, improvement of imaging and computational technologies? What predictions can we make? What are the consequences of materialization of such predictions - social, ethical? Kurzweil will address these questions and examine some of the most common criticisms of the exponential growth of information technology including criticisms from hardware ("Moore's Law will not go on forever"), software ("software is stuck in the mud"), the brain ("the brain is too complicated to understand or replicate"), ontology ("software is not capable of thinking or of consciousness"), and promise versus peril ("biotechnology, nanotechnology, and artificial intelligence are too dangerous").
There is now a grand project comprising at least a hundred thousand scientists and engineers working in diverse ways to understand the best example we have of an intelligent process: the human brain. It is arguably the most important project in the history of the human-machine civilization. The goal of the project is to understand precisely how the human brain works, and then to use these revealed algorithms as a basis for creating even more intelligent machines.
As we learn the algorithms underlying human intelligence, we will similarly be able to engineer it to vastly extend the powers of our intelligence. Indeed this process is already well under way. There are literally hundreds of tasks and activities that used to be the sole province of human intelligence that can now be conducted by computers usually with greater precision and vastly greater scale.
Was it inevitable that a species would evolve that is capable of creating its own evolutionary process in the form of intelligent technology? Kurzweil will argue that it was.
According to my models we are only two decades from fully modeling and simulating the human brain. By the time we finish this reverse-engineering project, we will have computers that are millions of times more powerful than the human brain. These computers will be further amplified by being networked into a vast world wide cloud of computing. The algorithms of intelligence will begin to self-iterate towards ever smarter algorithms.
This is how we will address the grand challenges of humanity such as maintaining a healthy environment, providing for the resources for a growing population including energy, food, and water, overcoming disease, vastly extending human longevity, and overcoming poverty. It is only by extending our intelligence with our intelligent technology that we can handle the scale of complexity to address these challenges.
Ray Kurzweil has been described as "the restless genius" by the Wall Street Journal, and "the ultimate thinking machine" by Forbes. Inc. magazine ranked him #8 among entrepreneurs in the United States, calling him the "rightful heir to Thomas Edison", and PBS included Ray as one of 16 "revolutionaries who made America", along with other inventors of the past two centuries.
As one of the leading inventors of our time, Ray was the principal developer of the first CCD flat-bed scanner, the first omni-font optical character recognition, the first print-to-speech reading machine for the blind, the first text-to-speech synthesizer, the first music synthesizer capable of recreating the grand piano and other orchestral instruments, and the first commercially marketed large-vocabulary speech recognition. Ray's web site Kurzweil AI.net has over one million readers.
Among Ray's many honors, he is the recipient of the $500,000 MIT-Lemelson Prize, the world's largest for innovation. In 1999, he received the National Medal of Technology, the nation's highest honor in technology, from President Clinton in a White House ceremony. And in 2002, he was inducted into the National Inventor's
This document provides an overview of artificial intelligence (AI), including its history, categories, branches, applications, and tools. It discusses how AI has evolved through different generations of computing. Key topics covered include expert systems, neural networks, programming languages used in AI, the American Association for Artificial Intelligence (AAAI), and perspectives on AI's future potential impacts and applications.
Global Corporate Venturing Corporate Venture Investment in Artificial Intelli...Jessica Straus
The document discusses corporate venture capital (CVC) investments in artificial intelligence (AI) startups. It notes that while the number of CVC-backed AI deals grew until 2014, the trend slowed in 2015. However, the capital committed to AI deals has continued to rise, with fewer but larger deals. The top categories receiving CVC investments are machine learning, speech technology, and virtual personal assistants. The top 10 deals by funding size are also listed. Finally, the top corporate VC investors in AI and some of their portfolio companies/investments are outlined.
Remember Marc Andreesens famous quote "Software is eating the world"? You can see it happening in many industries: Startups are innovating at a rapid pace and are often disrupting established companies. Eventually every industry will be disrupted by digital technology.
Here is what is fascinating:
1. Big corporates have plenty of resources, a huge customer base, experts in market research etc. Why is it that they fail to innovate?
2. Startups most of the time lack resources, a customer base, experts in market research etc. How do they come up with innovative, disruptive and eventually successful business models?
Luckily both questions have been answered. Clay Christensen has described the answer to the first question in his book The Innovator’s Dilemma. Go read it, it is really good.
Steve Blank and Eric Ries have built a framework called The Lean Startup to answer the second question.
This slide deck explains the innovators dilemma, how startups build businesses and what corporates can learn from them. It merely scratches the surface but it is a start for now. Tell me what you think in the comments.
This document discusses the potential for smart homes to address the needs of the elderly population in India as the country undergoes a demographic transition. It notes that while smart home technology is still a luxury, it could provide health monitoring, increased security, and independence for elderly Indians. However, it also highlights several cultural dimensions of aging in India, such as the central role of family care, elder abuse issues, and the consequences of viewing the elderly as dependents, that would need to be considered for smart homes to effectively meet their needs. The document examines both the opportunities smart homes present and the gaps that remain when considering the cultural context of aging in India.
The Technological Singularity is a future point in time when technology will rapidly improve itself to surpass human intelligence, changing human life as we know it. In this report, the following topics are covered:
What is the Singularity?
How is it predicted?
What are its implications?
What does it mean for human evolution?
What when it happens: Utopia or doom?
Beginnings of the Singularity
Questions that arise
Yuri van Geest: Exponential Organizations - The New Normalsinnerschrader
The world is changing exponentially due to technology, Singularity and globalization. We see the emergence of a new kind of organization: the exponential organization. This is complete reinvention of all building blocks of a classic, linear organization. Why is it here today? Why is it so successful? What is it? How does it organize to scale? How will exponential organizations evolve into blockchain startups (DAOs)? Learn practical insights from not only startups like Slack, Uber, Xiaomi, Airbnb, Waze, Local Motors, Quirky, Github and Tesla but also large organizations like Google, Amazon, Haier and General Electric.
If your organization was built in the 20th century it is doomed to fail in the 21st century. Why? Nobody uses s a mobile phone of 15 years old to survive in todays' business world but we do use organizational models which are 100 years old in todays' exponential era. This does not make sense and explains disruption in each and every vertical market.
*talk at NEXT15*
60 Second Book Brief: Exponential Organizations by Salim Ismail Steve Cunningham
Salim Ismail wrote the book Exponential Organizations to teach organizations how to think differently in order to have an impact 10 times larger than their peers. The book outlines 10 principles for exponential organizations, including staffing on demand, building communities and crowds, using algorithms and machine learning, leveraging assets, and using gamification to motivate external networks. Internally, exponential organizations use interfaces to manage resources, track data obsessively with dashboards, conduct small experiments, allow autonomy for employees, and use social technologies to organize teams.
No Ordinary Disruption: The four forces breaking all the trendsMcKinsey & Company
Out with the old assumptions, in with McKinsey Global Institute's new book on the four disruptive forces reshaping the world, "No Ordinary Disruption": http://bit.ly/1bCznva
The four forces are
1. Urbanization
2. Accelerating technological change
3. Aging populations
4. Increasing global interconnection
What does it all mean? Our infographics tell part of the story. For more, read the book: http://amzn.to/1BKhWiq
Exponential Organizations - Why new organizations are 10x better, faster and ...Yuri van Geest
Exponential Organizations (ExOs, #ExponentialOrgs) - authored by Yuri van Geest, Salim Ismail, Peter Diamandis and Mike Malone and published by Singularity University Press - how to build exponential organizations with exponential technologies and new organizational techniques for an exponential era.
This is first book integrating all key organizational and technology trends into a new and holistic 11 attribute framework applicable for startups, mid markets and corporates. To create exponential organizations instead of classic, linear ones which were developed more than 100 years ago.
We already received the Best Business Book of the Year 2014 Award by Frost & Sullivan and are accepted in the prestigeous C-Suite Book Club.
The book has been thoroughly researched in the last 30 months and we looked for patterns in the most important exponentials companies in the world in the last 6 years like Waze, Tesla, Airbnb, Uber, Xiaomi, Netflix, Valve, Google (Ventures), GitHub, Quirky and 60 other companies including successful corporates like GE, Haier, Coca Cola, Amazon, Citibank and ING Bank. We interviewed 70 global leaders and thinkers like Marc Andreessen, Arianna Huffington, Steve Forbes, Philip Rosedale, Tim O'Reilly, Chris Anderson and many others.
The book is already an Amazon bestseller in the pre-order phase since June, 2014 in the categories Startups, Business Management and Innovation.
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
- Venture capital fundraising and investments reached record levels in 2015, with more money coming from non-traditional investors. However, public tech valuations have dropped and private valuations are correcting from unsustainable highs.
- Most venture capitalists expect valuations to decline further in 2016 and are advising portfolio companies to cut costs. Fewer IPO and acquisition exits also have VCs taking a more cautious approach to new investments.
- Limited partner investors in venture funds remain concerned about high investment pacing, valuations, and company burn rates. However, most will maintain rather than decrease their commitments to venture capital over the next three years.
Will Super-Intellligent AI Transform Our Future? - Adam Ford - 2022-01Adam Ford
Is artificial superintelligence (ASI) imminent? Adam Ford will assess the evidence and ethical importance of artificial intelligence; its opportunities and risks. Drawing on the history of progress in AI and how today it surpasses peak human capability in some domains, he will present forecasts about further progress.
"Progress in AI will likely be explosive; even more significant than both the agricultural and industrial revolutions" - Adam will explore the notion of intelligence and what aspects are missing in AI now and how 'understanding' arises in biological intelligence and how it could be realised in AI over the next decade or two. He will conclude with takes on ideal AI outcomes and some recommendations for increasing the likelihood of achieving them.
BIO: Adam Ford (Masters of IT at RMIT) is an IEET Affiliate Scholar, a futurologist and works as a data/information architect, a data analyst and data engineer. He co-organised a variety of conferences in Australia, USA and China. Adam also convenes the global effort of 'Future Day’ seeking to ritualize focus on the future to a specific day. He is a grass roots journalist, having interviewed many experts on the future, and is currently working on a documentary project focusing on preparing for the future of artificial intelligence.
- The document discusses artificial intelligence, including its history, key areas such as knowledge representation and learning, and applications in areas like consumer marketing, identification technologies, predicting stock markets, and machine translation.
- While progress has been made in areas like recognition and learning, challenges remain in full natural language understanding, human-level planning and decision making. AI is being applied across many industries but remains an active area of research.
AI – Risks, Opportunities and Ethical Issues.pdfAdam Ford
Adam Ford, data professional and futurologist, will assess the prospect of transformative artificial intelligence (AI) in the near and mid-term future, and discuss the ethical importance of building an AI that is smarter and more capable than humanity.
He will explore how AI may outpace human capability in most (or possibly all) areas of economic usefulness – i.e. automated science, engineering and technological development – resulting in explosive progress that is likely to be more significant than the agricultural and industrial revolutions of the past.
Adam will discuss the notion of intelligence, what is missing in AI now, and the importance of ‘understanding’ in biological intelligence. He will address a variety of expert opinions on progress in AI capability and timelines, and make recommendations for achieving good outcomes.
Here are the steps I would take to diagnose electrical problems with a car:
1. Check the spark plugs. Look for fouling, cracking, or gaps that are too wide or narrow. Replace as needed.
2. Check the ignition timing. Use a timing light to ensure it is properly set. Adjust if necessary.
3. Test the battery with a voltmeter. It should read over 12 volts. If lower, have the battery and charging system inspected.
4. Inspect wires and connectors for cracks, corrosion or loose connections. Tighten or replace as needed.
5. Check for faulty sensors that could cause ignition or fuel delivery issues, like the crankshaft position sensor
computer science engineering spe ialized in artificial IntelligenceKhanKhaja1
Dr. C. Lee Giles is a professor at Penn State University who teaches a course on artificial intelligence and information sciences. The document provides an overview of artificial intelligence including definitions, theories, impact on information science, and topics covered in the course such as machine learning, information retrieval, text processing, and social networks. It also discusses the scientific method applied to developing theories in information sciences and contrasts weak and strong definitions of artificial intelligence.
Here are the steps I would take to diagnose electrical problems with a car:
1. Check the spark plugs. Look for fouling, cracking, or gaps that are too wide or narrow. Replace as needed.
2. Check the ignition timing. Use a timing light to ensure it is properly set. Adjust if necessary.
3. Test the battery with a voltmeter. It should read over 12 volts. If lower, have the battery and charging system inspected.
4. Inspect wires and connectors for cracks, corrosion or loose connections. Tighten or replace as needed.
5. Check for faulty sensors that could cause ignition or fuel delivery issues, like the crankshaft position sensor
Dr. C. Lee Giles is a professor at Penn State University who teaches a course on artificial intelligence and information sciences. The document provides an overview of artificial intelligence including definitions, theories, impact on information science, and topics covered in the course such as machine learning, information retrieval, text processing, and social networks. It also discusses the scientific method applied to developing theories in information sciences and contrasts weak and strong definitions of artificial intelligence.
Here are the steps I would take to diagnose electrical problems with a car:
1. Check the spark plugs. Look for fouling, cracking, or gaps that are too wide or narrow. Replace as needed.
2. Check the ignition timing. Use a timing light to ensure it is properly set. Adjust if necessary.
3. Test the battery with a voltmeter. It should read over 12 volts. If lower, have the battery and charging system inspected.
4. Inspect wires and connectors for cracks, corrosion or loose connections. Tighten or replace as needed.
5. Check for faulty sensors that could cause ignition or fuel delivery issues, like the crankshaft position sensor
Here are the steps I would take to diagnose electrical problems with a car:
1. Check the spark plugs. Look for fouling, cracking, or gaps that are too wide or narrow. Replace as needed.
2. Check the ignition timing. Use a timing light to ensure it is properly set. Adjust if necessary.
3. Test the battery with a voltmeter. It should read over 12 volts. If lower, have the battery and charging system checked.
4. Inspect wires and connectors for cracks, corrosion or loose connections. Tighten or replace as needed.
5. Check for faulty sensors that could cause ignition or fuel delivery problems, like the crankshaft position sensor
by Samantha Adams, Met Office.
Originally purely academic research fields, Machine Learning and AI are now definitely mainstream and frequently mentioned in the Tech media (and regular media too).
We’ve also got the explosion of Data Science which encompasses these fields and more. There’s a lot of interesting things going on and a lot of positive as well as negative hype. The terms ML and AI are often used interchangeably and techniques are also often described as being inspired by the brain.
In this talk I will explore the history and evolution of these fields, current progress and the challenges in making artificial brains
From the FreshTech 2017 conference by TechExeter
www.techexeter.uk
Autonomous vehicles, ridesharing, and virtual avatars will drastically change transportation over the next decade. Convergence of technologies like AI, robotics, batteries, and sensors will enable self-driving cars and fleets that are cheaper and more efficient than individual car ownership. This will free up time for other activities during commutes. Further into the future, virtual avatars controlled remotely through VR and robotics may eliminate physical transportation entirely. The document emphasizes that true innovation results from the convergence of multiple exponential technologies, not from any single technology alone.
A recap of the 2009 Singularity Summit convention in New York City, authored and presented by Sandy Santra at the New York Semantic Web Meetup on December 10, 2009
Some believe that we are transitioning from the Information Age to the Hybrid Age in a technological revolution distinguished by ubiquitous computing, intelligent machines, social technologies, integrated scientific fields, and rapidly-adaptive development strategies. It is into this new age that we introduce a new kind of atlas—one that is itself ubiquitous, intelligent, social, and integrative. Web services provide easy access to the atlas content through ubiquitous computing on a wide range of devices—smart phones, tablets, laptops, and more—trillions of other devices that are connected via the Internet. The user interface seamlessly integrates the maps and supporting content. The user experience supports intelligent exploration through contextual understanding, intuitive findability, and desirable comparison. Social media links provide useful opportunities to communicate and collaborate with others.
Atlases are changing, although the paper paradigm of maps and atlases pervaded recent cartographic history. By nature that paradigm serves, as well as defines, a specific audience in terms of use and presentation. In the production process and at the printing press, the paper paradigm demands certain design and creation workflows that have drastically changed through evolutions in data, mapmaking techniques, and presentation methods. Technological transformations in mapping influence much of this change, and the resulting implications for the design, creation, and distribution of atlases are significant.
We are currently transitioning from the Information Age to the Hybrid Age in a technological revolution distinguished by ubiquitous computing, intelligent machines, social technologies, integrated scientific fields, and rapidly-adaptive development strategies. I this new age there is a new kind of atlas—one that is itself ubiquitous, intelligent, social, and integrative. Web services provide easy access to atlas content through ubiquitous computing on smart phones, tablets, phablets, laptops, and desktops—trillions of devices connected via the Internet. The user interface seamlessly integrates the multi-scale slippy maps and their supporting content. The user experience supports intelligent exploration through contextual understanding, intuitive findability, and configurable comparison. Integration with social media provides opportunities to communicate and collaborate with others. Commenting, bookmarking, and note taking provide valuable capabilities for increased personal usability. The resulting, fully-citable set of digital maps and web services brings these important historical documents to life, preserving the past and providing knowledge for current and future generations of users.
AAG 2017 Annual Meeting - Boston, MA
The document provides an overview of artificial intelligence (AI), including its main areas of study, progress made, applications, and ongoing challenges. It discusses how AI involves automated perception, learning, reasoning and planning. While recognition and learning have advanced, planning and general reasoning remain challenging. The document outlines applications in industries like finance, medicine and transportation, but notes that many problems remain unsolved, making AI an active area of research.
How to design a decentralisation: is blockchain & token needed or just a buzz...Pandora Boxchain
A presentation from a talk of Dr Maxim Orlovsky on Bitcoin Meetup in Munich https://www.meetup.com/Bitcoin-Munich/events/255206212/
The rise of blockchain technologies has given a promise of massive decentralisation, that may solve problems of fragile central parts, transparency, middle-men, conflicts of interests in many industries. The talk starts with the wider discussion of the "blockchain" ecosystem and the possible practical use-cases it may have inspired, paying attention to the traps of bad practices and anti-patterns, like using a token as a solution for all of the problems.
In the second part, we describe a practical use case where the decentralisation is needed: censorship-resistant computing and AI platform. The global community has become aware of many economic, social and futuristic problems that can appear due to dramatic progress in Artificial Intelligence development over the recent years. Can blockchain solve at least some of these problems, or make them worse? How two of these technologies can be synergic and what challenges have to be solved on the route for building decentralised AI applications? A decentralised network with resistance to censorship is essential if we are ever to see a general AI evolving to near- or post-human intelligence.
The singularity is coming by Takuya Matsuda - CODE BLUE 2015CODE BLUE
An Artificial Intelligence (AI) extremely surpassed the human intelligence is called "Superintelligence". In a short while, the Superintelligence will be developed for the first time in our history. The Superintelligence raises an exponential development of the scientific technology and affects the human society and civilization. The time is called "Singularity (Technological Singularity)". An American futurist Ray Kurzweil, who bruits the concept of Singularity, predicts that the time will come in the year 2045. And he also predicts that the capacity of the AI will gets up to that of a human in the year 2029. I would like to call the period prior to 2045 as "Pre-Singularity". An AI used for a specific purpose is called "Narrow AI", and an AI used for general purposes is called "Artificial General Intelligence (AGI)“. Today there is only Narrow AI, but it will greatly affect the human society such as Technological Unemployment in the coming future. If AGI comes into being, the influence increases dramatically. Researchers all over the world endeavors to develop the AGI. In recent years, researches of the Superintelligence are implemented in Japan. I will discuss what is the Superintelligence and political, economic, technological and military significances. I will especially introduce the roadmap for the development of the Super intelligence in Japan. I will also discuss about the possibility that Singularity will be occurred from Japan in 2020s much earlier than the year 2045.
The Turing Test - A sociotechnological analysis and prediction - Machine Inte...piero scaruffi
The 'singularity" may be near not because we are making smarter machines but because we are making dumber humans. See also www.scaruffi.com/singular for presentations on AI and the Singularity.
The document summarizes interim results from a feedback survey about the Humanity+ UK 2010 event, with the goal of improving future similar events. It provides statistics on the survey so far, including that 41 people have responded. It then presents some of the responses to the first two questions: 1) whether attendees found the event a worthwhile use of time, and 2) if attendees took away any particularly important new ideas. The responses indicate that most found the event valuable and informative, with new insights ranging from synthetic biology to concerns about existential risks.
Anti-aging supplements? Myths, reality and speculationUKH+
This document discusses aging and life extension. It outlines various theories for why we age, including the disposable soma theory which is considered highly credible. It describes some mechanisms of aging like telomeres, free radicals, glycation, and the thymus. Supplementing with folic acid is shown to reduce cancer rates and Alzheimer's risk in studies. Animal models are discussed as relevant to humans despite differences in lifespan. Combining micronutrients like coenzymes and minerals is suggested to have additive benefits for lifespan based on studies in insects and rodents.
The survey asked for feedback to improve future Extrobritannia activities. So far 26 people have responded anonymously. Responses have been overall constructive. Some key suggested projects for 2010 based on feedback include using the April conference as a springboard, introducing a new membership model, organizing some meetings outside London, experimenting with IRC chats, and adopting a formal brainstorming and project tracking system. When asked about memorable meetings, many respondents cited meetings with knowledgeable speakers who provided new insights or punctured assumptions. Some felt certain meetings could have been more informative or included less repetition of familiar concepts. Suggested topics for future meetings included medical research, rationality and critical thinking, practical applications now available, and reports of solid
This document lists several upcoming events related to transhumanism, futurism, and related topics. It announces a talk on August 15th by James Woudhuysen on thinking about the future of energy through leadership and technological innovation. It also lists additional upcoming events in September on topics like quantum computers, the environment, cryonics, strategies to engineer negligible senescence, and the Singularity Summit.
The document discusses extreme simulation scenarios (ESS) involving whole brain emulation, virtual autonomous zones, and utility fog. It summarizes each ESS concept and then addresses criticisms of ESS from technical, moral, metaphysical, and unpredictability perspectives. It concludes that assessments of ESS are subject to two types of biases: worldview bias where conclusions are influenced by prior beliefs, and competence bias where flaws in judgment cause erroneous conclusions despite open-mindedness.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
1. Is the Singularity Near?
Nine key questions about the coming
Technological Singularity
?
Technology
David Wood,
Software Director (day job);
UKTA enthusiast, London
+ Many contributions
from the floor!
Varied expert and layperson
viewpoints welcome
20th Sept 2008 Time
2058
2. A friendly critique of
some of the ideas in
Ray Kurzweil’s
The Singularity is near:
When humans
transcend biology
3. The nine key questions
• Defining what we're talking about: What’s the relation
between the various different notions of the Singularity?
4. 1. Defining the Singularity
• “The ever-accelerating progress of
technology … gives the appearance of
approaching some essential singularity in
the history of the race beyond which human
affairs, as we know them, could not
continue” ?
Technology
– John von Neumann (1950s)
Time
2058
5. 1. Defining the Singularity
• “What is the Singularity? It’s a future period
during which the pace of technological
change will be so rapid, its impact so deep,
that human life will be irreversibly
transformed”
– Ray Kurzweil ?
Technology
Time
2058
6. 1. Defining the Singularity
• “When the first transhuman intelligence is
created and launches itself into recursive
self-improvement, a fundamental
discontinuity is likely to occur, the likes of
which I can’t even begin to predict”
– Michael Anissimov
Technology
Time
2058
7. 1. Defining the Singularity
• The advent of super-human general AI
• AI smarter than humans, for sufficiently many
purposes
– Including the ability to design and build new AI
• A trigger for recursive improvement
– A likely trigger for fast (and then even faster)
recursive improvement
• We could in a very short timespan have super-
super…-super-human general AI
• We are unlikely to be able to begin to conceive
what will happen next (Vernor Vinge)
8. Some related ideas (i)
• Exponential improvement in technology and/
or computing power and/or knowledge
• But exponential progress often stalls
– Speed of passenger airliners
– Heights of skyscrapers
– The human population
• Example of Kurzweil over-enthusiasm:
– “By the end of this decade, computers will
disappear as distinct physical objects, with
displays built into our eyeglasses, and
electronics woven in our clothing, providing full-
immersion visual virtual reality” (p. 105)
9. Some related ideas (i)
• Exponential improvement in technology and/
or computing power and/or knowledge
• This is an independent idea
– We could reach the Singularity slowly
– (Though the take-off, when it comes, would still
be spectacular)
– (Like reaching critical mass: possible slow
approach, but we still get a super-fast explosion)
• Pre-Singularity exponential improvements in
technology make the Singularity more likely,
but aren’t necessary to the argument
10. Some related ideas (ii)
• Computers drastically transform the
economy – doing more and more work in it
• This is an independent idea
– If/when the Singularity comes, the economic
transformation is likely to be very considerably
more drastic
• Society will change in completely
unpredictable ways, with existing structures
breaking down, like the Industrial Revolution
• I think we should concentrate on the more
specific idea of super-human general AI
11. AI singularity vs. nano-factory singularity
• A general purpose nano-factory can
manufacture goods better than humans can
• So it can manufacture an even better
general purpose nano-factory…
– Recursive improvement
• Economics would be transformed overnight
• An interesting topic!
– But probably not so scary/profound as the
advent of super-human general AI
• (The two developments could, however,
work in parallel…)
12. Eric Drexler, 1989
• “If you can build genuine AI, there are reasons to
believe that you can build things like neurons that
are a million times faster”
• “That leads to the conclusion that you can make
systems that think a million times faster than a
person”
• “With AI, these systems could do engineering
design”
• “Combining this with the capability of a system to
build something that is better than it, you have the
possibility for a very abrupt transition”
• “This situation may be more difficult to deal with
even than nano-technology, but it is much more
difficult to think about it constructively”
13. Hard vs. soft take-off
• AI smarter than humans, for sufficiently many
purposes
– Including the ability to design and build new AI
• A trigger for recursive improvement
– A likely trigger for fast (and then even faster) recursive
improvement
• We could in a very short timespan have super-
super…-super-human general AI: hard take-off
• This assumes there’s only one significant barrier to
building better AI – but there might be several
– Super-human general AI mightn’t automatically lead to
super-super…-super general AI
– In the latter case, we can talk about a “soft take-off”
15. The nine key questions
• Defining what we're talking about: What’s the relation
between the various different notions of the Singularity?
• Are there arguments in principle against the Singularity?
• What are the critical bottleneck determinants of
development towards the Singularity?
• What are the lessons we should learn from what’s been
called “the embarrassing history of AI”?
• Is the Singularity a plausible occurrence within (say) the
next 50 years?
• What’s the likeliest timescale for the Singularity?
• Should we be doing everything in our power to prevent
the Singularity from happening?
• Can we influence the Singularity to make its outcome
more likely to be good for humanity rather than
disastrous?
• What are the biggest uncertainties with the Singularity?
16. 2. Arguments in principle against
the possibility of the Singularity?
• “Computers will never be as intelligent as humans”
• “Progress with AI has never been as fast as AI
enthusiasts predicted”
• “There’s something mystical or vitalist about
human self-awareness and consciousness that
can never be captured in a computer”
• “Exponential progress always slows down after a
while – skyscraper heights, passenger airline
speed…”
• “An embodied super-AI will run out of resources or
energy before achieving anything God-like”
• “The likelihood is so small that discussing it is a
waste of our energy and a distraction…”
17. Could we keep the AI locked up?
• “An embodied super-AI will run out of resources or
energy before achieving anything God-like”
• Could we deliberately avoid connecting the super-
AI to the wider network?
• “AI-Box experiment” – Eliezer Yudkowsky
• The super-AI may well be an expert on human
psychology
– And would concoct extremely convincing reasons for
why it should be connected to the wider network
• In any case, we have to contemplate the
accidental route to the Singularity – when the AI
researchers get a better result than they expected!
18. 3. Critical bottleneck determinants?
• Improving the computing hardware:
– We’ve already had forty years of Moore’s Law
– That’s been driven by technology expertise coupled with
strong commercial incentives
– Experts generally expect Moore’s Law to last at least
another 10 years
– And there are good prospects for new types of computer
power even after that (3D chips)
• Human brain computational power is c. 100 TIPs
(100 x 10^12 instructions per second)
– Say this is an underestimate – use 10^16 TIPs
– Computers with this power will cost $1000 by c. 2020-25
– Assuming that sufficient financial incentives for
incrementally improved computing power remain in force
19. 3. Critical bottleneck determinants?
• Improving the computing hardware:
– We’ve already had forty years of Moore’s Law
– That’s been driven by technology expertise coupled with
strong commercial incentives
– Experts generally expect Moore’s Law to last at least
another 10 years
– And there are good prospects for new types of computer
power even after that (3D chips)
• Improving the software: This is my guess
– Wirth’s Law: “Software gets slower, faster than hardware
gets faster”
– Just calculating faster doesn’t make you wiser
• Understanding the human brain and human mind:
– May or may not turn out to be particularly useful
20. 4. Learnings from the history of AI?
• “Progress with AI has never been as fast as
AI enthusiasts predicted”
• => “Computers will never be as intelligent as
humans”
• Or, it will take an awfully long time
– So it’s mainly a distraction to discuss it
• Alan Turing predicted in 1950 that, by the
year 2000, machines would be able to fool
30% of human judges during a 5-minute test
• AI researchers need to be optimistic, to
ensure they get funded, but progress is poor
21. 4. Learnings from the history of AI?
• “Progress with AI has never been as fast as AI
enthusiasts predicted”
• Powerful algorithms eventually achieved for:
– Chess (but not yet Go)
– Algebra (including finding proofs to unsolved theorems)
– Real-time navigation
– Driving cars across deserts
– Quadrupeds that walk over rough terrain (“Big Dog”)
– John Koza’s Invention machine, which has won patents
– Composing music in the style of named composers
– Face recognition
– Language translation (Google)
– Playing twenty questions (Burger King)…
22. Possible unexpectedly fast progress?
• Technology improvements sometimes happen
outside the mainstream – happening somewhat
“under the radar” but with strong financial incentive
• “Adult entertainment” industry
• Computer games
– Incredible graphics (GPUs); Physics engines; “AIs”
• CAPTCHA defeaters (promoting spam)
• Search boxes that understand natural language
– Huge investment by Google, Microsoft…
• Virtual worlds: Ben Goertzel
– Bots there have fewer items of “accidental real-world
complexity” to worry about
• iPhone and other connected super-smart devices
23. 5. Is the Singularity plausible before
Hard to
(say) 2058? rule them
Vernor Vinge’s five possible routes to the Singularity: all out!
• The AI Scenario: We create superhuman artificial
intelligence (AI) in computers.
• The IA Scenario: We enhance human intelligence
through human-to-computer interfaces—that is, we
achieve intelligence amplification (IA).
• The Biomedical Scenario: We directly increase our
intelligence by improving the neurological operation of
our brains (smart drugs or otherwise)
• The Internet Scenario: Humanity, its networks,
computers, and databases become sufficiently effective
to be considered a superhuman being.
• The Digital Gaia Scenario: The network of embedded
microprocessors becomes sufficiently effective to be
considered a superhuman being.
24. 5. Is the Singularity plausible before
(say) 2058?
• Assuming there’s no major societal
breakdown
• Assuming there’s nothing mystical about
human-level intelligence
• Assuming at least some continuing
improvements in both hardware and
software
• … I see no reason to rule out the possibility
of the Singularity in this kind of timescale
• So it’s worth at least some attention from us!
25. “Maybe it needs 100 years”?
• 100 years of progress at the present rate of
achievement…
• Could be achieved in just 36 calendar years
• If the rate of achievement doubles every 10
years!
R(1 + 3.6)
Rate of
achievement
100.8R
R R (36 x 5.6)R/2
100R
2008 2108 2008 2044
Time
26. Example of accelerating rate of
achievement
• Sequencing the human genome
• Project started in 1990
• Cost of sequencing a base pair c. $10
• “It would take 1000 years to finish”
• Project forecast to finish in 15 years (2005)
• Actually finished in 2003
• Cost of sequencing a base pair c. $0.02
• HIV virus took 15 years to sequence
• SARS took 31 days
27. There’s more to acceleration than
Moore’s Law
• First computers were designed on paper and built
by hand
– Later computers benefited from computer-aided design
and computer-aided manufacture
– Even later computers will have even better computer-
aided design and manufacture
• Software creates and improves tools (including
compilers, debuggers, profilers, high-level
languages…) which in turn allows more complex
software to be created more quickly
• Technology reduces prices which allows better
technology to be used more widely, resulting in
more people improving the technology…
28. 6. Most likely timescale?
• I’m not qualified to say
• It depends on so many unknowns – and on
where society decides to invest effort
• “A new Manhattan project”?
• Perhaps already being carried out in secret
– In China / Singapore / …
– Inside Google / Microsoft / Apple / Nokia / …
– By DARPA…
• My guess: software will improve a great deal
in 20 years, with focused effort
• Add 10 years for contingency => 2038 ?!
29. 7. Oppose the Singularity with all our
effort? (Anti-Manhattan project?)
• Downside of bad Singularity is awful: disaster
• Much worse than Terminator movies…
30. 7. Oppose the Singularity with all our
effort? (Anti-Manhattan project?)
• Downside of bad Singularity is awful: disaster
• Much worse than Terminator movies…
• Upside of Singularity is debatable
– New cures, new medicines, new mind-trips
– Advice on geo-engineering and positive climate control
– Societal disruption
• “Better red than dead” – accept drawbacks of
vigorously controlling all experiments in AI, in order
to avoid the risk of a bad Singularity?
• But super-AI could improve “accidentally” or
“surreptitiously” – so we must create “friendly
super-AI” before “accidental super-AI” gets here
• “Moore’s Law of mad scientists” - Yudkowsky
31. 8. Can we influence the Singularity?
• Can we influence development towards the
Singularity to make its outcome more likely to be
good for humanity rather than disastrous?
• Or are we just passive spectators?
• We can contribute to the battle of ideas
– By debating and debugging them
– By communicating them – eg blogging / press
– By bringing them into the mainstream
– By influencing policy of think-tanks, governments,
universities, business researchers
• We can consider and possibly promote the ideas
of “beneficial super-AI” and “friendly AI”…
32. The project to create friendly AI
• AI that will in all circumstances maintain a respect
for humans, and will avoid harming humans
– Even through multiple generations of self-
reprogramming
– Even though the AI will have full access to all its source
code, and the ability to change any of it
– Even though the AI will observe many bad faults in
humans (and will be strongly tempted to “fix things”)
• The AI will not want to change this part of its
programming
– Like Gandhi would not want to take a pill to make
himself into a murderer
• (Depends on there being no serious bugs in this
part of the software!)
33. The project to merge humans with
super-AI
• AI that will in all circumstances maintain a respect
for humans, and will avoid harming humans
– Even through multiple generations of self-
reprogramming
– Even though the AI will have full access to all its source
code, and the ability to change any of it
– Even though the AI will observe many bad faults in
humans (and will be strongly tempted to “fix things”)…
• Alternatively, future humans may absorb and
directly interact with ever-improved AI systems
– “The man with three brains…”
– So super-AIs will find it much easier to respect these
future humans (“transhumans”)
• So we should study IA as much as we study AI
35. Summary (from Michael Anissimov’s
blog, Fri 19th Sept 2008) (1/2)
• Superintelligence is possible, it could have a huge
impact on the world, and our actions now may
influence the final outcome
• No fixed timeline
• No argument that all of history has been
predeterministically building up to this point
• No argument that technological progress is slowing
down, speeding up, moving sideways, or any other
such specific claims
• No particular attention given to pre-transhuman
intelligence technologies except insofar as they
influence when and how superintelligence is created
• Central focus on superintelligence as a distinct
technological milestone
• Acceptance of the point that deliberately designed AGI
may exist before neuromorphic AGI
36. Summary (from Michael Anissimov’s
blog, Fri 19th Sept 2008) (2/2)
• Acceptance of the fact that we might completely blow
ourselves up before the Singularity hits
• Acceptance of the fact that the first superintelligence
might not give a damn about us, and just decide to
rearrange our atoms into something more to its liking
• No magical rosy scenario where human upgrades and
AGI research coincidentally fuse seamlessly in a way
that happens to completely benefit mankind
• Acknowledgment of the Everest-sized challenge of
creating AGI that doesn’t eliminate us outright, rather
than hand-waving it over with “maintaining an open
free-market system…”
• Superintelligence is possible, it could have a huge
impact on the world, and our actions now may
influence the final outcome
37. 9. The biggest uncertainties with
the Singularity?
• Defining what we're talking about: What’s the relation
between the various different notions of the Singularity?
• Are there arguments in principle against the Singularity?
• What are the critical bottleneck determinants of
development towards the Singularity?
• What are the lessons we should learn from what’s been
called “the embarrassing history of AI”?
• Is the Singularity a plausible occurrence within (say) the
next 50 years?
• What’s the likeliest timescale for the Singularity?
• Should we be doing everything in our power to prevent
the Singularity from happening?
• Can we influence the Singularity to make its outcome
more likely to be good for humanity rather than
disastrous?
• What are the biggest uncertainties with the Singularity?