How can Artificial Intelligence help me on the Battlefield?jcscholtes
April 26, 2019, I was asked to present how Artificial Intelligence can help the Battlefield at the officers of the 11th Airmobile Brigade (11e Luchtmobiele brigade in Dutch) of the Dutch forces . The potential benefit of Artificial Intelligence on the battlefield is a very interesting, but also intriguing topic! Here you can find my slides. I also have written a blog on this topic which contains several additional references and can be found as a LinkedIn Article and as blog on www.textmining.nu.
This PPT gives you a brief description of what exactly is artificial intelligence. How is it made possible? What is machine learning? Examples of machine learning.
Programming languages used to develop, machine learning, etc.
Artificial intelligence - (A seminar on Emerging Trends of Technology) ileomax
This presentation got the first prize for the competition at a seminar Emerging Trends of Technology @ MGM Indore.
Please leave your comments if you like/unlike it..
Artificial Intelligence Robotics (AI) PPT by Aamir Saleem AnsariTech
Artificial intelligence (AI) is the intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at an arbitrary goal.Colloquially, the term "artificial intelligence" is likely to be applied when a machine uses cutting-edge techniques to competently perform or mimic "cognitive" functions that we intuitively associate with human minds, such as "learning" and "problem solving".The colloquial connotation, especially among the public, associates artificial intelligence with machines that are "cutting-edge" (or even "mysterious"). This subjective borderline around what constitutes "artificial intelligence" tends to shrink over time; for example, optical character recognition is no longer perceived as an exemplar of "artificial intelligence" as it is nowadays a mundane routine technology.Modern examples of AI include computers that can beat professional players at Chess and Go, and self-driving cars that navigate crowded city streets.
AI research is highly technical and specialized, and is deeply divided into subfields that often fail to communicate with each other. Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications.
How can Artificial Intelligence help me on the Battlefield?jcscholtes
April 26, 2019, I was asked to present how Artificial Intelligence can help the Battlefield at the officers of the 11th Airmobile Brigade (11e Luchtmobiele brigade in Dutch) of the Dutch forces . The potential benefit of Artificial Intelligence on the battlefield is a very interesting, but also intriguing topic! Here you can find my slides. I also have written a blog on this topic which contains several additional references and can be found as a LinkedIn Article and as blog on www.textmining.nu.
This PPT gives you a brief description of what exactly is artificial intelligence. How is it made possible? What is machine learning? Examples of machine learning.
Programming languages used to develop, machine learning, etc.
Artificial intelligence - (A seminar on Emerging Trends of Technology) ileomax
This presentation got the first prize for the competition at a seminar Emerging Trends of Technology @ MGM Indore.
Please leave your comments if you like/unlike it..
Artificial Intelligence Robotics (AI) PPT by Aamir Saleem AnsariTech
Artificial intelligence (AI) is the intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at an arbitrary goal.Colloquially, the term "artificial intelligence" is likely to be applied when a machine uses cutting-edge techniques to competently perform or mimic "cognitive" functions that we intuitively associate with human minds, such as "learning" and "problem solving".The colloquial connotation, especially among the public, associates artificial intelligence with machines that are "cutting-edge" (or even "mysterious"). This subjective borderline around what constitutes "artificial intelligence" tends to shrink over time; for example, optical character recognition is no longer perceived as an exemplar of "artificial intelligence" as it is nowadays a mundane routine technology.Modern examples of AI include computers that can beat professional players at Chess and Go, and self-driving cars that navigate crowded city streets.
AI research is highly technical and specialized, and is deeply divided into subfields that often fail to communicate with each other. Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications.
Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
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).
This presentation covers
- Introduction to Artificial Intelligence
- Philosophy of A.I
- Real-life Examples
- Major Applications Of A.I
- A.I.-: Need Of The Hour
- Drawbacks.
-Vigyanam RKGIT, Ghaziabad
Artificial intelligence is rolling rapidly in the era of technology. Let’s get familiar with some terms used in AI with these Advantages here: https://blog.paradisetechsoft.com/what-is-artificial-intelligence/
Types Of Artificial Intelligence | EdurekaEdureka!
YouTube Link: https://youtu.be/y5swZ2Q_lBw
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This Edureka PPT on "Types Of Artificial Intelligence" will help you understand the different stages and types of Artificial Intelligence in depth. The following topics are covered in this Artificial Intelligence Tutorial:
History Of AI
What Is AI?
Stages Of Artificial Intelligence
Types Of Artificial Intelligence
Domains Of Artificial Intelligence
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
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Humanity will change more in the next 20 years than in the previous 300 years. What if …robots replaced the world’s workforce?
This is the presentation delivered by Glen Leonhard at London Business School's 2015 Global Leadership Summit.
Superintelligence: how afraid should we be?David Wood
Superintelligence: How afraid should we be? Presentation by David Wood at the Computational Intelligence Unconference UK, 26th July 2014. Reviews ideas in three recent books: Superintelligence, by Nick Bostrom; Our Final Invention, by James Barrat; and Intelligence Unbound, edited by Russell Blackford and Damien Broderick.
Please contact the author to invite him to present animated and/or extended versions of these slides in front of an audience of your choosing. (Commercial rates will apply for commercial settings.)
Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
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).
This presentation covers
- Introduction to Artificial Intelligence
- Philosophy of A.I
- Real-life Examples
- Major Applications Of A.I
- A.I.-: Need Of The Hour
- Drawbacks.
-Vigyanam RKGIT, Ghaziabad
Artificial intelligence is rolling rapidly in the era of technology. Let’s get familiar with some terms used in AI with these Advantages here: https://blog.paradisetechsoft.com/what-is-artificial-intelligence/
Types Of Artificial Intelligence | EdurekaEdureka!
YouTube Link: https://youtu.be/y5swZ2Q_lBw
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This Edureka PPT on "Types Of Artificial Intelligence" will help you understand the different stages and types of Artificial Intelligence in depth. The following topics are covered in this Artificial Intelligence Tutorial:
History Of AI
What Is AI?
Stages Of Artificial Intelligence
Types Of Artificial Intelligence
Domains Of Artificial Intelligence
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Humanity will change more in the next 20 years than in the previous 300 years. What if …robots replaced the world’s workforce?
This is the presentation delivered by Glen Leonhard at London Business School's 2015 Global Leadership Summit.
Superintelligence: how afraid should we be?David Wood
Superintelligence: How afraid should we be? Presentation by David Wood at the Computational Intelligence Unconference UK, 26th July 2014. Reviews ideas in three recent books: Superintelligence, by Nick Bostrom; Our Final Invention, by James Barrat; and Intelligence Unbound, edited by Russell Blackford and Damien Broderick.
Please contact the author to invite him to present animated and/or extended versions of these slides in front of an audience of your choosing. (Commercial rates will apply for commercial settings.)
Feedbackstr ist das am einfachsten zu bedienende Enterprise Feedback Management System für Unternehmen jeder Größe. Feedbackstr misst zuverlässig die Kunden- und Mitarbeiterzufriedenheit für eine kontinuierliche Verbesserung der Servicequalität.
Durch feedback-basierte Verbesserungsmaßnahmen werden aus Kunden, Mitarbeitern und Partnern echte Promotoren. Bessere Servicequalität, mehr Kunden, mehr Erfolg!
This article aims to present the great revolution represented by the technological singularity that could occur in the future. What is Singularity? It is the characteristic of what is unique: infrequent, out of the ordinary or extraordinary. Technological singularity is the hypothesis that considers the unrestrained technological growth of artificial super intelligence. According to this hypothesis, the rampant action of an upgradeable intelligent agent with self-improvement capabilities (such as a computer that executes software-based artificial intelligence) would generate more and more quickly robots endowed with a super powerful intelligence that, qualitatively, could surpass all human intelligence.
THE BENEFITS AND RISKS OF TECHNOLOGICAL SINGULARITY BASED ON ARTIFICIAL SUP...Fernando Alcoforado
This article aims to present the concept of technological singularity, the contribution of artificial intelligence to the advancement of technological singularity, technological singularity and its contribution to scientific and technological advancement and the benefits and risks of artificial superintelligence for humanity.
Will the machines save us or kill us all? – that is the question. While many are thrilled with the latest AI
breakthroughs and dream of a shinning AI-powered world, others, like Bill Gates, Elon Musk, Steve Wozniak and the late
and legendary Stephen Hawking, expressed concerns about the evolution of the machines and warned about an
apocalyptic future.
http://www.altitude.com/
Rise of the Machines” Is Not a Likely FutureEvery new technolog.docxmalbert5
“Rise of the Machines” Is Not a Likely Future
Every new technology brings its own nightmare scenarios. Artificial intelligence (AI) and robotics are no exceptions. Indeed, the word “robot” was coined for a 1920 play that dramatized just such a doomsday for humanity.
Recently, an open letter about the future of AI, signed by a number of high-profile scientists and entrepreneurs, spurred a new round of harrowing headlines like “Top Scientists Have an Ominous Warning about Artificial Intelligence,” and “Artificial Intelligence Experts Sign Open Letter to Protect Mankind from Machines.” The implication is that the machines will one
day displace humanity.
Let’s get one thing straight: a world in which humans are enslaved or destroyed by superintelligent machines of our own creation is purely science fiction. Like every other technology, AI has risks and benefits, but we cannot let fear dominate the conversation or guide AI research. Nevertheless, the idea of dramatically changing the AI research agenda to focus on AI “safety” is the primary message of a group calling itself the Future of Life Institute (FLI). FLI includes a handful of deep thinkers and public figures such as Elon Musk and Stephen Hawking and worries about the day in which humanity is steamrolled by powerful programs run a muck.
As eloquently described in the book Superintelligence: Paths, Dangers, Strategies by FLI advisory board member and Oxford-based philosopher Nick Bostrom, the plot unfolds in three parts. In the first part—roughly where we are now—computational power and intelligent software develops at an increasing pace through the toil of scientists and engineers. Next, a breakthrough is made: programs are created that possess intelligence on par with humans. These programs, running on increasingly fast computers, improve themselves extremely rapidly, resulting in a runaway “intelligence explosion.” In the third and final act, a singular super-intelligence takes hold—outsmarting, outmaneuvering, and ultimately outcompeting the entirety of humanity and perhaps life itself. End scene.
Let’s take a closer look at this apocalyptic storyline. Of the three parts, the first is indeed happening now and Bostrom provides cogent and illuminating glimpses into current and near-future technology. The third part is a philosophical romp exploring the consequences of supersmart machines. It’s that second part—the intelligence explosion—that demonstrably violates what we know of computer science and natural intelligence.
Runaway Intelligence?
The notion of the intelligence explosion arises from Moore’s Law, the observation that the speed of computers has been increasing exponentially since the 1950s. Project this trend forward and we’ll see computers with the computational power of the entire human race within the next few decades. It’s a leap to go from this idea to unchecked growth of machine intelligence, however.
First, ingenuity is not the sole bottleneck to developing faster com.
This presentation is based on the new upcoming and current technologies which are very useful for mankind. It includes healthcare, industries, medicine, A.I., deep web, etc. Plus in this slide, I have used some science fiction references to make it more interesting for the audience.
From technology to software, artificial intelligence to virtual reality, Future in Quantum covers it all. Whether you're a tech expert or just starting out, our blog is designed to cater to your needs and interests. We offer a wide range of articles and resources, including product reviews, tutorials, and expert opinions, to help you stay on top of the latest technology developments.
The Future World is a presentation by Sasha Kazantseva first done at the Woman Development Forum in Guernsey. Sasha explores the technology trends of the past 300 years and the implications for the future.
We live in a VUCA (volatile, uncertain, complex and ambiguous) world where the main currency is ideas and innovation and the most important investment you can make if you.
Sasha blogs at www.startupme.co
Sasha is a Guernsey resident technology entrepreneur, angel investor and NED. She set up her first venture in school aged 16 and the entrepreneurial spark never left her. Since then she has worked for Google, L'Oreal and Priceline, co-founded a private start-up accelerator, a green activist group in Russia and launched a mobile game for iOS.
At Google, Sasha created or co-founded global award winning campaigns such as the Google Cultural Institute and a big data predictor algorithm for competitions. She is passionate about supporting and promoting startup ecosystems and is involved with projects in Guernsey as a director with Start Up Guernsey, committee member of Creative Industries.
She has lived and worked in Singapore, Thailand, Mongolia, Russia, UK and Spain and holds a BSc from the London School of Economics and an MBA from INSEAD. She lives in Guernsey with her husband, whom she met climbing Mt Kilimanjaro for charity, and their twin daughters.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...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 the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
2. WHAT IS A SINGULARITY ?
civilization changes so much that its
rules and technologies are
incomprehensible to previous
generations
extremely rapid technological and
scientific changes
Imagine:
explaining the internet to somebody living in the year 1200
3. SINGULARITY MODEL
2 3
Nanobots & Gray Goo Cybernetics (Genome)
1
artificial intelligence
artificial intelligence
“Since the design of machines is an intellectual activity, an
ultraintelligent machine could design even better machines.
There will then be an “intelligence explosion”, and the
intelligence of man would be left far behind.
Thus the first ultraintelligent machine is the last invention of
mankind”
- I. J. Good, 1965
4. SINGULARITY MODEL
3
Cybernetics (Genome)
1
Artificial Intelligence
Nanobots & Gray Goo
The self-replicating molecular
machine.
• Ability to build machines that
manipulate matter at the
atomic level.
• Control our world in the most
granular way imaginable.
2
Nanobots & Gray Goo
5. SINGULARITY MODEL
2
Nanobots & Gray Goo
1
Artificial Intelligence
3
Cybernetics (Genome)
Cybernetics (Genome)
Synthetic biology, genetic engineering, and other life sciences
will eventually give us control of the human genome.
• We could engineer new forms of life and change the
course of human evolution in one generation with
enhanced capabilities. [Superpower]
• Allow us to tinker with the mechanisms that make us age,
thus dramatically increasing our lifespans. [Longevity]
8. Vs
ARTIFICIAL INTELLIGENCE
HUMAN INTELLIGENCE
• Learning & Adaptation
• Reasoning & Planning
• Perceiving & Reacting
• Feeling & Emotion
• Understanding of language
Theory and development of
computer systems able to
perform tasks that normally
require human intelligence
12. RAY KURZWEIL - GOOGLE
Ray Kurzweil
“The Heir to Thomas Edison”
Google’s Director of Engineering
Author of
“The Singularity Is Near”
“The Age of Spiritual Machines”
The Law of Accelerating Returns
“Fundamental measures of information technology development
follow predictable and exponential trajectories."
"As exponential growth continues to accelerate into the first half of
the twenty-first century and will likely explode into infinity soon
after.
Kurzweil is optimistic.
• Planning on creating a simulated version of his late father
• Nanobots will enhance our immune systems by 2030. He’s
planning on living forever, more or less.
• If he dies, he plans to be perfused with cryoprotectants,
vitrified in liquid nitrogen and hope that future medical
technology will repair his tissues and revive him.
13. EVENT & INTERVIEW
“Are you ready for
brain-chip implant?”
Captain Hoff
Captain of Founder Space (SV)
Tech Evangelist & Angel Investor
• Top 10 Incubator in Inc. Magazine
• #1 Accelerator in Silicon Valley for
overseas startups by Forbes.
“It is just a matter of
when.”
Ted Willich
CEO/Founder of NLP Logix
Expert in ML & Computer Vision
• Aim to deliver AI’s business value
• Serial Techopreneur in Machine
Learning & AI field
21. When AI Screws Up, It Screws Up Badly
On TV show Jeopardy players in 2011, IBM’s Watson was asked:
“What country’s largest airport is named for a World War II hero; its
second largest, for a World War II battle.”
Watson: “What is Toronto?”
22. When AI Screws Up, It Screws Up Badly
“Watson absolutely surprises me.
People ask: 'Why did it get that one wrong?' I don't know.
People ask: 'Why did it get that one right?' I don't know.”
- David Ferrucci, the Lead Researcher of IBM Watson
23. When AI Screws Up, It Screws Up Badly
INDUSTRIAL AUTOMOTIVE MEDICAL
FINANCE CONSUMER BUSINESS
24. AI RESEARCH & POLICY
NEXT 15 YEARS
• Large-scale machine learning
• Deep learning
• Reinforcement learning
• Robotics
• Computer vision
• Natural Language Processing
• Collaborative systems
• Crowdsourcing and human
computation
• Algorithmic game theory and
computational social choice
• Internet of Things (IoT)
• Neuromorphic Computing
The term singularity describes the moment when a civilization changes so much that its rules and technologies are incomprehensible to previous generations. Think of it as a point-of-no-return in history.
Most thinkers believe the singularity will be jump-started by extremely rapid technological and scientific changes. These changes will be so fast, and so profound, that every aspect of our society will be transformed, from our bodies and families to our governments and economies.
A good way to understand the singularity is to imagine explaining the internet to somebody living in the year 1200. Your frames of reference would be so different that it would be almost impossible to convey how the internet works, let alone what it means to our society. You are on the other side of what seems like a singularity to our person from the Middle Ages. But from the perspective of a future singularity, we are the medieval ones. Advances in science and technology mean that singularities might happen over periods much shorter than 800 years. And nobody knows for sure what the hell they'll bring.
Talking about the singularity is a paradox, because it is an attempt to imagine something that is by definition unimaginable to people in the present day. But that hasn't stopped hundreds of science fiction writers and futurists from doing it.
http://io9.gizmodo.com/5534848/what-is-the-singularity-and-will-you-live-to-see-it
2) Singularity technology is the self-replicating molecular machine, also called autonomous nanobots, "gray goo," and a host of other things. Basically the idea is that if we can build machines that manipulate matter at the atomic level, we can control our world in the most granular way imaginable. And if these machines can work on their own? Who knows what will happen. For a dark vision of this singularity, see Greg Bear's novel Blood Music or Bill Joy's essay "The Future Doesn't Need Us"; for a more optimistic vision, Rudy Rucker's Postsingular.
In the event of his declared death, Kurzweil plans to be perfused with cryoprotectants, vitrified in liquid nitrogen, and stored at an Alcor facility in the hope that future medical technology will be able to repair his tissues and revive him.
In the event of his declared death, Kurzweil plans to be perfused with cryoprotectants, vitrified in liquid nitrogen, and stored at an Alcor facility in the hope that future medical technology will be able to repair his tissues and revive him.
Utopian Times Ahead?
So the argument goes, beyond the Singularity we will be able to reprogram and control all forms of life and all modes of inorganic matter. Beyond the Singularity it ought therefore be possible for us to achieve many amazing and incredibly useful things. While by definition we cannot yet predict or understand what all such things could be, they may well include:
The application of nanotechnology and/or synthetic biology to convert any kind of waste into food or other useful products.
Directly powering human (and non-human) civilization from the Sun and other alternative energy sources.
Controlling climate change (for example by constructing vast solar sails out in space or by building nanotech filtration plants to remove greenhouse gasses from the atmosphere).
Very significant life extension, probably coupled with our proactive, transhuman evolution into a cybernetic species.
The delivery of a high standard of living to ten billion or more human beings.
Our conquest of space.
https://ai100.stanford.edu/sites/default/files/ai_100_report_0901fnlc_single.pdf
What is the take away from this research?
Google's Project Soli - an innovation in Gesture Technology
http://www.whatsupgeek.com/2015/07/project-soli-googles-innovation.html
http://www.oblong.com/g-speak/
Google's Project Soli - an innovation in Gesture Technology
http://www.whatsupgeek.com/2015/07/project-soli-googles-innovation.html
http://www.oblong.com/g-speak/
36:04 – 36:40
If AI becomes better at designing AI than humans, we'll hit an intelligence explosion that "ultimately results in machines whose intelligence exceeds ours by more than ours exceeds that of snails," Hawking said in a recent Reddit AMA.