1) The document discusses how technology has empowered and augmented human capabilities over time, from simple machines to today's cognitive systems.
2) It argues that in the future, humans will need to collaborate with machines and develop "T-shaped" skill profiles with both broad and deep skills to remain competitive as machines continue advancing.
3) The Bluemix Hackathon aims to explore the development of T-shaped skills through teamwork and using cognitive services, with the goal that the results and insights will be greater than just the sum of individual contributions.
1) The document discusses how technology has empowered and augmented human capabilities over time, from simple machines to today's cognitive systems.
2) It argues that in the future, humans will need to collaborate with machines and develop "T-shaped" skill profiles with both broad and deep skills to remain competitive as machines continue advancing.
3) The Bluemix Hackathon aims to help students develop these T-shaped skills by teaming up and using cognitive services on Bluemix to solve problems, with the results being greater than the sum of the individual parts.
1) The document discusses how cognitive technologies are empowering more people to be "makers" by building things that were previously too complex for one person, like a toaster, and how this will further disrupt industries.
2) It argues that while computers now have the processing power of the human brain, humans still maintain advantages in thinking outside the box.
3) The hackathon described will explore "T-shaped skills" - broad skills combined with deep expertise - that the World Economic Forum says will be crucial for success as cognitive technologies continue advancing, by having participants team up and use IBM's Bluemix cognitive services.
Empowering makers in the cognitive era 20161203 v5ISSIP
1) The document discusses how technology has empowered and augmented human capabilities over time, from simple machines to today's cognitive systems.
2) It argues that in the future, humans will need to collaborate with machines and develop "T-shaped" skill profiles with both broad and deep skills to remain competitive as machines continue advancing.
3) The Bluemix Hackathon aims to explore the development of T-shaped skills through teamwork and using cognitive services, with the goal that the results will be greater than the sum of individual contributions.
This document discusses economic development and technological progress over time. It notes that in 1975, it took 1.83 hours to earn enough to buy a calculator that could do one calculation per second, while today it takes 9.33 hours to earn an Xbox One X that can do over 1 trillion calculations per second. Technological innovation has vastly increased processing power and capabilities while reducing the time needed to earn devices. It also mentions several topics that will be covered in subsequent chapters, including Mexico's efficiency problem, the relationship between innovation and institutions/culture, corruption as a solution rather than a problem, infrastructure following innovation, and each country discovering its own path to prosperity through innovation.
Opening remarks of Paul Asel - World of Connections 2018Paul Asel
World of Connections is NGP Capital's flagship event that gathers together 300 entrepreneurs, innovators, VCs, and technology leaders from all around the world. Paul Asel, Managing Partner of NGP Capital, opened the conference in the Golden Gate Club, San Francisco.
The document discusses understanding cognitive systems. It begins by asking what biological and digital cognitive systems are. It then discusses how to build, understand, and work with both biological and digital cognitive systems. The presenter outlines steps toward developing a next generation cognitive curriculum, including types of digital cognitive systems and potential courses. These range from introductory courses on building basic question answering systems to more advanced courses on using cognitive tools and assistants in various professional fields.
The lecture discusses the convergence of biological and digital cognitive systems into one world. It recaps the previous lecture which described biological cognitive systems (BCS) that interact and learn through experience over time, whereas digital cognitive systems (DCS) are currently programmed. However, DCS are now beginning to interact and learn from their environment and each other, as well as from BCS, similarly to how BCS learn. The future will involve designing socio-technical systems that fit DCS into BCS personal and professional lives through smart/wise service systems.
1) The document discusses how technology has empowered and augmented human capabilities over time, from simple machines to today's cognitive systems.
2) It argues that in the future, humans will need to collaborate with machines and develop "T-shaped" skill profiles with both broad and deep skills to remain competitive as machines continue advancing.
3) The Bluemix Hackathon aims to help students develop these T-shaped skills by teaming up and using cognitive services on Bluemix to solve problems, with the results being greater than the sum of the individual parts.
1) The document discusses how cognitive technologies are empowering more people to be "makers" by building things that were previously too complex for one person, like a toaster, and how this will further disrupt industries.
2) It argues that while computers now have the processing power of the human brain, humans still maintain advantages in thinking outside the box.
3) The hackathon described will explore "T-shaped skills" - broad skills combined with deep expertise - that the World Economic Forum says will be crucial for success as cognitive technologies continue advancing, by having participants team up and use IBM's Bluemix cognitive services.
Empowering makers in the cognitive era 20161203 v5ISSIP
1) The document discusses how technology has empowered and augmented human capabilities over time, from simple machines to today's cognitive systems.
2) It argues that in the future, humans will need to collaborate with machines and develop "T-shaped" skill profiles with both broad and deep skills to remain competitive as machines continue advancing.
3) The Bluemix Hackathon aims to explore the development of T-shaped skills through teamwork and using cognitive services, with the goal that the results will be greater than the sum of individual contributions.
This document discusses economic development and technological progress over time. It notes that in 1975, it took 1.83 hours to earn enough to buy a calculator that could do one calculation per second, while today it takes 9.33 hours to earn an Xbox One X that can do over 1 trillion calculations per second. Technological innovation has vastly increased processing power and capabilities while reducing the time needed to earn devices. It also mentions several topics that will be covered in subsequent chapters, including Mexico's efficiency problem, the relationship between innovation and institutions/culture, corruption as a solution rather than a problem, infrastructure following innovation, and each country discovering its own path to prosperity through innovation.
Opening remarks of Paul Asel - World of Connections 2018Paul Asel
World of Connections is NGP Capital's flagship event that gathers together 300 entrepreneurs, innovators, VCs, and technology leaders from all around the world. Paul Asel, Managing Partner of NGP Capital, opened the conference in the Golden Gate Club, San Francisco.
The document discusses understanding cognitive systems. It begins by asking what biological and digital cognitive systems are. It then discusses how to build, understand, and work with both biological and digital cognitive systems. The presenter outlines steps toward developing a next generation cognitive curriculum, including types of digital cognitive systems and potential courses. These range from introductory courses on building basic question answering systems to more advanced courses on using cognitive tools and assistants in various professional fields.
The lecture discusses the convergence of biological and digital cognitive systems into one world. It recaps the previous lecture which described biological cognitive systems (BCS) that interact and learn through experience over time, whereas digital cognitive systems (DCS) are currently programmed. However, DCS are now beginning to interact and learn from their environment and each other, as well as from BCS, similarly to how BCS learn. The future will involve designing socio-technical systems that fit DCS into BCS personal and professional lives through smart/wise service systems.
This is powerpoint on" ARTIFICIAL INTELLIGENCE".
AI is a Shining field of future technology.
Artificial intelligence,Machine Learning,and Robotics is a major advance technology of coming soon" ERA".
This document provides an introduction to an artificial intelligence course. It discusses what topics will be covered, including search techniques, knowledge representation, logic, machine learning, and applications such as game playing, computer vision, and robotics. It also provides definitions of key concepts like intelligence, artificial intelligence, and rational agents. The course will involve lectures, exercises, homework, and an examination project involving a poker tournament.
The document provides an introduction to the game Arimaa, summarizing what the game is, its history and development, the ongoing challenge for AI to defeat top human players, why the game is difficult for computers to master, the current status of the challenge, and how individuals can participate in playing or developing for the game.
Deep Water - Bringing Tensorflow, Caffe, Mxnet to H2OSri Ambati
Arno Candel introduces Deep Water, which brings Tensorflow, Caffe, Mxnet to H2O. It also brings support for GPUs, image classification, NLP and much more to H2O.
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
This document summarizes Jim Gray's 1998 Turing Lecture which discusses remaining challenges in information technology research. It identifies the need for long-term, university-led research projects supported by government funding. Specific challenges mentioned include making parallel programming easier, improving the scalability of databases and transaction processing systems, and advancing the state of artificial intelligence to pass the Turing Test within the next 50 years. The document outlines properties of effective long-term research goals and provides examples like devising an architecture that scales indefinitely.
This document provides an agenda and materials for a post-industrial forum on knowledge worker productivity hosted by Jim Spohrer at SRI. The document includes:
- An introduction and background on Jim Spohrer, a retired industry executive and UIDP senior fellow.
- An agenda for a discussion on knowledge worker productivity, including presentations on relevant books and topics like estimation frameworks.
- Materials and figures for estimating knowledge worker productivity over time based on metrics like computing power and GDP per employee in the US.
- Additional slides on AI progress milestones, types of AI models, and an overview of Jim Spohrer's areas of study and priorities around service science, artificial intelligence, and trust.
This document discusses artificial intelligence and its components. It begins with definitions of artificial intelligence as making computers behave like humans and as the intelligence exhibited by machines. The field was founded in 1956 at a conference where leaders like John McCarthy established AI research. The components discussed include playing games like chess, developing expert systems, natural language processing, and robotics. It provides examples of computers defeating humans at chess and the use of robots in manufacturing.
BAT40 NVIDIA Stampfli Künstliche Intelligenz, Roboter und autonome Fahrzeuge ...BATbern
Moderne künstliche Intelligenz mit Deep Learning ist bereits
heute schon im Einsatz in verschiedenen Anwendungen.
Sprachsteuerung von Apple mit Siri, Amazon mit Alexa,
autonome Fahrzeuge von Waymo, Tesla, Gesichtserkennung von Facebook sind nur einige bekannte Beispiele aus dem Silicon Valley welche Deep Learning einsetzen.
Der Vortrag zeigt auf was wir von der Technologie erwarten
können und wie Sie unsere Leben beeinflussen wird.
Evolution of Computer Technology
The History of Computers
Essay about History of the Computer
Brief History Of Computers Essay
Essay on Computer Innovation
The First Generation of Computers Essay
Generation of Computers
Essay The Advancement of Computers
Technology : History Of Computers
Essay about The History of Computers
Computer Evolution
The Development of Computers Essay
History of the Development of Computers Essay
Personal Computer Research Paper
Deep Blue was an IBM chess computer that defeated world champion Garry Kasparov in 1997, demonstrating that machines could outperform humans at chess. Chinook is a computer program developed at the University of Alberta that plays checkers at a grandmaster level using an opening book, deep search algorithm, evaluation function, and endgame database. TD-Gammon is an artificial neural network developed by IBM that learned backgammon through temporal difference learning and achieved a level of play just below top human players.
When I was a kid, I wanted to build a holodeck—the immersive 3D simulation system from Star Trek… so I started making games.
This is a vision of how close we are to a holodeck:
Generative AI
Compositional frameworks
Computational scaling
Computing Platforms for the 21C - 25feb14Ian Phillips
(See http://youtu.be/Z0YU0T5cR6E )
A Compute Platform is normally considered to be the highly stable HW and SW architecture associated with Mainframe or PC computers. But the 21 century is bringing serious computing power to the hands of the consumer and computers that don't look like computers have totally eclipsed traditional computing market. Does this change the definition of the Compute Platform in the 21C?
## By Ian Phillips, Uo.Liverpool. 25feb14. http://ianp24.blogspot.co.uk/
## Opinions expressed are my own.
Global Advanced Management Program
All India Management Association
Program Director: Professor Solomon Darwin, UC Berkeley
Expanding Markets by Leveraging Emerging Technologies
Agenda: June 25 – July 01, 2023
Computing Platforms for the XXIc - DSD/SEAA KeynoteIan Phillips
Wikipedia defines Platform as "A raised level surface on which people or things can stand". A more familiar technical interpretation applies to the hardware and OS configuration applicable to the execution of software; most frequently applicable to highly stable PC or Mainframe architectures. But the world has changed a lot since serious computing power moved into the embedded consumer arena. Now, with runs of many millions for single products, the argument for customisation is much more justifiable; so the traditional view of platforms is struggling against a tide of individuality. Can the ARM architecture bring stability back into this chaos, or is something else needed? Isaac Newton realised the reality of platforms when he talked of standing on the shoulders of giants. A platform is a stable place where engineers and scientists can stand to achieve more than they would otherwise have done. So our XXI Century Platforms are the shape to deliver improved Productivity, Reuse, Quality, TTM, Cost, etc. for the System Products we are now charged to deliver. Its business, stupid!
Gary Tarolli's presentation on April 27, 2015 to the Computer Systems Fundamentals class at Middlesex Community College. A great perspective on the history of graphics and Gary's unique role in groundbreaking companies like 3dfx and nvidia.
Fascinating Tales of a Strange TomorrowJulien SIMON
John McCarthy coined the term "artificial intelligence" in 1956. Starting in the 1950s and 1960s, several experts in the field made optimistic predictions about machines achieving human-level intelligence within just a few years, but these predictions did not come true as data and computing power were limited. Neural networks were proposed in the late 1950s but struggled until recently due to insufficient data and hardware. Breakthroughs in deep learning using large datasets and GPUs have led to impressive results in areas like image recognition. AWS offers services and resources to help customers develop and apply deep learning techniques to solve real-world problems.
Artificial intelligence, in which machines imitate human behavior, is a disruptive technology, especially because it has helped to remove monotonous tasks. Furthermore, intelligent machines are having a significant impact on our lives, resulting in increased efficiency. Today, there is a lot of data, but it is generally unorganized. With so much data at their disposal, humans are at a loss as to how to deal with it and, ultimately, understand its significance. Artificial intelligence provides a solution to this, and the artificial intelligence course in Chennai will teach you about its importance.
This document provides a conceptual framework for evaluating innovations and their potential for commercial success. It discusses how innovations progress through different phases, from invention to valuable creation. Rare innovations are uniquely useful and valuable, while modifications and novelties have less value. The framework also examines an organization's visibility and control in the market. Few organizations can sustain external focus and long-term cooperative development. The document warns against assumptions and mental maps that could lead to inaccurate forecasts, and emphasizes considering dependencies, precedents and how markets and technologies may change over time.
The document discusses connecting the virtual world of Second Life to the physical world through concepts like "spimes" and the "Internet of Things". It describes how physical objects can be augmented to sense their environment and broadcast data about themselves and how prototypes of these ideas can be built in Second Life. It also talks about new technologies like Arduino boards that make it easy to program physical computing devices and how this could lead to more open and customizable physical objects.
Spohrer on AI for SIRs Post 125 20240618 v6.pptxISSIP
Sons in Retirement (SIRs)
Post 125 San Jose
Host - Gene Plevyak
URL: https://sirinc2.org/branch125/
We are SIR Westgate Branch 125
We meet on the third Tuesday of the month
at the Three Flames Restaurant
1547 Meridian Ave., San Jose
Fellowship Hour: 11:00 AM
This is powerpoint on" ARTIFICIAL INTELLIGENCE".
AI is a Shining field of future technology.
Artificial intelligence,Machine Learning,and Robotics is a major advance technology of coming soon" ERA".
This document provides an introduction to an artificial intelligence course. It discusses what topics will be covered, including search techniques, knowledge representation, logic, machine learning, and applications such as game playing, computer vision, and robotics. It also provides definitions of key concepts like intelligence, artificial intelligence, and rational agents. The course will involve lectures, exercises, homework, and an examination project involving a poker tournament.
The document provides an introduction to the game Arimaa, summarizing what the game is, its history and development, the ongoing challenge for AI to defeat top human players, why the game is difficult for computers to master, the current status of the challenge, and how individuals can participate in playing or developing for the game.
Deep Water - Bringing Tensorflow, Caffe, Mxnet to H2OSri Ambati
Arno Candel introduces Deep Water, which brings Tensorflow, Caffe, Mxnet to H2O. It also brings support for GPUs, image classification, NLP and much more to H2O.
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
This document summarizes Jim Gray's 1998 Turing Lecture which discusses remaining challenges in information technology research. It identifies the need for long-term, university-led research projects supported by government funding. Specific challenges mentioned include making parallel programming easier, improving the scalability of databases and transaction processing systems, and advancing the state of artificial intelligence to pass the Turing Test within the next 50 years. The document outlines properties of effective long-term research goals and provides examples like devising an architecture that scales indefinitely.
This document provides an agenda and materials for a post-industrial forum on knowledge worker productivity hosted by Jim Spohrer at SRI. The document includes:
- An introduction and background on Jim Spohrer, a retired industry executive and UIDP senior fellow.
- An agenda for a discussion on knowledge worker productivity, including presentations on relevant books and topics like estimation frameworks.
- Materials and figures for estimating knowledge worker productivity over time based on metrics like computing power and GDP per employee in the US.
- Additional slides on AI progress milestones, types of AI models, and an overview of Jim Spohrer's areas of study and priorities around service science, artificial intelligence, and trust.
This document discusses artificial intelligence and its components. It begins with definitions of artificial intelligence as making computers behave like humans and as the intelligence exhibited by machines. The field was founded in 1956 at a conference where leaders like John McCarthy established AI research. The components discussed include playing games like chess, developing expert systems, natural language processing, and robotics. It provides examples of computers defeating humans at chess and the use of robots in manufacturing.
BAT40 NVIDIA Stampfli Künstliche Intelligenz, Roboter und autonome Fahrzeuge ...BATbern
Moderne künstliche Intelligenz mit Deep Learning ist bereits
heute schon im Einsatz in verschiedenen Anwendungen.
Sprachsteuerung von Apple mit Siri, Amazon mit Alexa,
autonome Fahrzeuge von Waymo, Tesla, Gesichtserkennung von Facebook sind nur einige bekannte Beispiele aus dem Silicon Valley welche Deep Learning einsetzen.
Der Vortrag zeigt auf was wir von der Technologie erwarten
können und wie Sie unsere Leben beeinflussen wird.
Evolution of Computer Technology
The History of Computers
Essay about History of the Computer
Brief History Of Computers Essay
Essay on Computer Innovation
The First Generation of Computers Essay
Generation of Computers
Essay The Advancement of Computers
Technology : History Of Computers
Essay about The History of Computers
Computer Evolution
The Development of Computers Essay
History of the Development of Computers Essay
Personal Computer Research Paper
Deep Blue was an IBM chess computer that defeated world champion Garry Kasparov in 1997, demonstrating that machines could outperform humans at chess. Chinook is a computer program developed at the University of Alberta that plays checkers at a grandmaster level using an opening book, deep search algorithm, evaluation function, and endgame database. TD-Gammon is an artificial neural network developed by IBM that learned backgammon through temporal difference learning and achieved a level of play just below top human players.
When I was a kid, I wanted to build a holodeck—the immersive 3D simulation system from Star Trek… so I started making games.
This is a vision of how close we are to a holodeck:
Generative AI
Compositional frameworks
Computational scaling
Computing Platforms for the 21C - 25feb14Ian Phillips
(See http://youtu.be/Z0YU0T5cR6E )
A Compute Platform is normally considered to be the highly stable HW and SW architecture associated with Mainframe or PC computers. But the 21 century is bringing serious computing power to the hands of the consumer and computers that don't look like computers have totally eclipsed traditional computing market. Does this change the definition of the Compute Platform in the 21C?
## By Ian Phillips, Uo.Liverpool. 25feb14. http://ianp24.blogspot.co.uk/
## Opinions expressed are my own.
Global Advanced Management Program
All India Management Association
Program Director: Professor Solomon Darwin, UC Berkeley
Expanding Markets by Leveraging Emerging Technologies
Agenda: June 25 – July 01, 2023
Computing Platforms for the XXIc - DSD/SEAA KeynoteIan Phillips
Wikipedia defines Platform as "A raised level surface on which people or things can stand". A more familiar technical interpretation applies to the hardware and OS configuration applicable to the execution of software; most frequently applicable to highly stable PC or Mainframe architectures. But the world has changed a lot since serious computing power moved into the embedded consumer arena. Now, with runs of many millions for single products, the argument for customisation is much more justifiable; so the traditional view of platforms is struggling against a tide of individuality. Can the ARM architecture bring stability back into this chaos, or is something else needed? Isaac Newton realised the reality of platforms when he talked of standing on the shoulders of giants. A platform is a stable place where engineers and scientists can stand to achieve more than they would otherwise have done. So our XXI Century Platforms are the shape to deliver improved Productivity, Reuse, Quality, TTM, Cost, etc. for the System Products we are now charged to deliver. Its business, stupid!
Gary Tarolli's presentation on April 27, 2015 to the Computer Systems Fundamentals class at Middlesex Community College. A great perspective on the history of graphics and Gary's unique role in groundbreaking companies like 3dfx and nvidia.
Fascinating Tales of a Strange TomorrowJulien SIMON
John McCarthy coined the term "artificial intelligence" in 1956. Starting in the 1950s and 1960s, several experts in the field made optimistic predictions about machines achieving human-level intelligence within just a few years, but these predictions did not come true as data and computing power were limited. Neural networks were proposed in the late 1950s but struggled until recently due to insufficient data and hardware. Breakthroughs in deep learning using large datasets and GPUs have led to impressive results in areas like image recognition. AWS offers services and resources to help customers develop and apply deep learning techniques to solve real-world problems.
Artificial intelligence, in which machines imitate human behavior, is a disruptive technology, especially because it has helped to remove monotonous tasks. Furthermore, intelligent machines are having a significant impact on our lives, resulting in increased efficiency. Today, there is a lot of data, but it is generally unorganized. With so much data at their disposal, humans are at a loss as to how to deal with it and, ultimately, understand its significance. Artificial intelligence provides a solution to this, and the artificial intelligence course in Chennai will teach you about its importance.
This document provides a conceptual framework for evaluating innovations and their potential for commercial success. It discusses how innovations progress through different phases, from invention to valuable creation. Rare innovations are uniquely useful and valuable, while modifications and novelties have less value. The framework also examines an organization's visibility and control in the market. Few organizations can sustain external focus and long-term cooperative development. The document warns against assumptions and mental maps that could lead to inaccurate forecasts, and emphasizes considering dependencies, precedents and how markets and technologies may change over time.
The document discusses connecting the virtual world of Second Life to the physical world through concepts like "spimes" and the "Internet of Things". It describes how physical objects can be augmented to sense their environment and broadcast data about themselves and how prototypes of these ideas can be built in Second Life. It also talks about new technologies like Arduino boards that make it easy to program physical computing devices and how this could lead to more open and customizable physical objects.
Spohrer on AI for SIRs Post 125 20240618 v6.pptxISSIP
Sons in Retirement (SIRs)
Post 125 San Jose
Host - Gene Plevyak
URL: https://sirinc2.org/branch125/
We are SIR Westgate Branch 125
We meet on the third Tuesday of the month
at the Three Flames Restaurant
1547 Meridian Ave., San Jose
Fellowship Hour: 11:00 AM
Host Santokh Badesha: https://www.linkedin.com/in/santokh-badesha-24b72916/
Recommended Readings (If Possible, Skim Before the Talk)
Patent: Management of Usage Costs of a Resource (IBM)
Jim Spohrer patent: Graphical Interface for Interacting Constrained Actors (Apple)
Jim Spohrer's Google Scholar Profile, includes open publications as well as patents
Apple's ATG Authoring Tools - Balancing Open and Proprietary Work
Forbes - Cognitive World
AI Magazine - Role of Open Source in AI
AI and Education 20240327 v16 for Northeastern.pptxISSIP
Prof. Mark L. Miller (https://www.linkedin.com/in/mlmiller751/), Northeastern University, class on AI and Education
Speaker: Jim Spohrer (https://www.linkedin.com/in/spohrer/)
===
Speaker: Dr. Jim Spohrer, retired Apple and IBM executive, currently Board of Directors for ISSIP.org (International Society of Service Innovation Professionals).
Title: AI and Education: A Historical Perspective and Possible Future Directions
Abstract: This talk will briefly survey my 50 years working in the area of AI & Education. At MIT (1974- 1978), MIT's summer EXPLO schools for AI and entrepreneurship classes. At Verbex (1978-1982), speech recognition, language models, early generative AI. At Yale (1982-1989), MARCEL, a generate- test-and-debug architecture and student model of programming bugs. At Apple (1989-1998), from content (SK8) to community (EOE) to context (WorldBoard). At IBM (1999 - 2021), service science and open source AI. At ISSIP (2021-present), generative AI and digital twins.
Bio:Jim’s Bio (142 words):
Jim Spohrer is a student of service science and open-source, trusted AI. He is a retired industry executive (Apple, IBM), who is a member of the Board of Directors of the non-profit International Society of Service Innovation Professionals (ISSIP). At IBM, he served as Director for Open Source AI/Data, Global University Programs, IBM Almaden Service Research, and CTO IBM Venture Capital Relations Group. At Apple, he achieved Distinguished Engineer Scientist Technologist (DEST) for authoring and learning platforms. After MIT (BS/Physics), he developed speech recognition systems at Verbex (Exxon), then Yale (PhD/Computer Science AI). With over ninety publications and nine patents, awards include AMA ServSIG Christopher Lovelock Career Contributions to the Service Discipline, Evert Gummesson Service Research, Vargo-Lusch Service-Dominant Logic, Daniel Berg Service Systems, and PICMET Fellow for advancing service science. In 2021, Jim was appointed a UIDP Senior Fellow (University-Industry Demonstration Partnership).
Readings:Apple's ATG Authoring Tools:
URL: https://dl.acm.org/doi/pdf/10.1145/279044.279173 Blog: WorldBoard
URL: https://service-science.info/archives/2060 Blog: Reflecting on Generative AI and Digital Twins
URL: https://service-science.info/archives/6521 Book: Service in the AI Era
Attached: Pages 46-54.Video: Speech Recognition (History)
URL: https://youtu.be/G9z4VAsw_kw
Thanks, -Jim
--Jim Spohrer, PhDBoard of Directors, ISSIP (International Society of Service Innovation Professionals) Board of Directors, ServCollab ("Serving Humanity Through Collaboration")Senior Fellow, UIDP ("Strengthening University-Industry Partnerships")Retired Industry Executive (Apple, IBM)
March 20, 2024
Host Ganesan Narayanasamy (https://www.linkedin.com/in/ganesannarayanasamy/)
Uploaded here:
===
Event 20230320
https://www.linkedin.com/posts/ganesannarayanasamy_productnation-semiconductorproductnation-activity-7174119132114620418-jvpx
Themed Shaping a Sustainable $1 Trillion Era, semicondynamics.org 2024 will gather industry experts on March 20th at Milpitas, California , for insights into the latest trends and innovations Accelerating AI with Semiconductor RTL Front end services and workforce development. The event will feature keynotes from the Semiconductor ecosystem, academia and Industries.
March 20, 2024
Host Ganesan Narayanasamy (https://www.linkedin.com/in/ganesannarayanasamy/)
Uploaded here:
===
Event 20230320
https://www.linkedin.com/posts/ganesannarayanasamy_productnation-semiconductorproductnation-activity-7174119132114620418-jvpx
Themed Shaping a Sustainable $1 Trillion Era, semicondynamics.org 2024 will gather industry experts on March 20th at Milpitas, California , for insights into the latest trends and innovations Accelerating AI with Semiconductor RTL Front end services and workforce development. The event will feature keynotes from the Semiconductor ecosystem, academia and Industries.
Jim Spohrer is an advisor to industry, academia, governments, startups and non-profits on topics of AI upskilling, innovation strategy, and win-win service in the AI era. He is a retired IBM executive and was previously the director of IBM's open-source AI developer ecosystem effort. In this talk, Spohrer discusses topics such as how to keep up with accelerating change, verifying results from generative AI, and understanding how generative AI works through concepts like monkeys at typewriters in high dimensional spaces. He emphasizes balancing hype with realism and doing work alongside gaining knowledge.
This document contains notes from a presentation by Jim Spohrer on leadership, career experiences, and technology topics. The presentation covers collaborating with others, teamwork practices, storytelling, communication skills, leadership habits and mindsets. It includes links to Spohrer's online profiles and resources. Tables provide estimates of increasing GDP per employee over time and a timeline of Spohrer's career highlights and accomplishments in the fields of service science and artificial intelligence.
It my pleasure to be with you all today – thanks to my host for the opportunity to speak with you all today.
Host: Leonard Walletzky <qwalletz@fi.muni.cz> (https://www.linkedin.com/in/leonardwalletzky/) +420 549 49 7690
Google Scholar: https://scholar.google.com/citations?user=aUvbsmwAAAAJ&hl=cs
Katrina Motkova (https://www.linkedin.com/in/kateřina-moťková-mba-a964a3175/en/?originalSubdomain=cz)
Speaker: Jim Spohrer <spohrer@gmail.com> (https://www.linkedin.com/in/spohrer/) +1-408-829-3112
I am Jim Spohrer, a retired Apple and IBM Executive, and currently a UIDP Senior Fellow, on the Board of Directors of ISSIP and ServCollab.
I am retired, meaning my primary activities are family-oriented – families are the oldest and most important type of service systems
I volunteer to help non-profits, mentor students, professionals, and retiree (some in retirement communities where the average age is 85) on AI & service science
My hobbies are hiking, reading, programming, and building my AI digital twin and humanoid robots for maintaining farms and farming equipment.
My hobbies are also trying to understand as much as I can about the system called the universe and mult-verse, and robots to rapidly rebuild civilization including themselves from scratch.
2001 - Nonzero: The Logic of Human Desitiny (Wright) - https://en.wikipedia.org/wiki/Nonzero:_The_Logic_of_Human_Destiny
2015 - Geek Heresy: Rescuing Social Change from the Cult of Technology - https://www.amazon.com/Geek-Heresy-Rescuing-Social-Technology/dp/161039528X
2021 - Humankind: A Hopeful History (Bregman) - https://en.wikipedia.org/wiki/Humankind:_A_Hopeful_History
Humankind - https://www.amazon.com/Humankind-Hopeful-History-Rutger-Bregman/dp/0316418536
Humankind Book Review - https://service-science.info/archives/5654
2022 - Service in the AI Era: Science, Logic, and Architecture Perspectives (2022) by Spohrer, Maglio, Vargo, Warg - https://www.amazon.com/Service-AI-Era-Architecture-Perspectives/dp/1637423039
2023 - Design for a Better World: Meaningful, Sustainable, Humanity-Centered (2023) by Don Norman - https://www.amazon.com/Design-Better-World-Meaningful-Sustainable/dp/0262047950/
It my pleasure to be with you all today – thanks to my host for the opportunity to speak with you all today.
Host: Leonard Walletzky <qwalletz@fi.muni.cz> (https://www.linkedin.com/in/leonardwalletzky/) +420 549 49 7690
Google Scholar: https://scholar.google.com/citations?user=aUvbsmwAAAAJ&hl=cs
Katrina Motkova (https://www.linkedin.com/in/kateřina-moťková-mba-a964a3175/en/?originalSubdomain=cz)
Speaker: Jim Spohrer <spohrer@gmail.com> (https://www.linkedin.com/in/spohrer/) +1-408-829-3112
I am Jim Spohrer, a retired Apple and IBM Executive, and currently a UIDP Senior Fellow, on the Board of Directors of ISSIP and ServCollab.
I am retired, meaning my primary activities are family-oriented – families are the oldest and most important type of service systems
I volunteer to help non-profits, mentor students, professionals, and retiree (some in retirement communities where the average age is 85) on AI & service science
My hobbies are hiking, reading, programming, and building my AI digital twin and humanoid robots for maintaining farms and farming equipment.
My hobbies are also trying to understand as much as I can about the system called the universe and mult-verse, and robots to rapidly rebuild civilization including themselves from scratch.
2001 - Nonzero: The Logic of Human Desitiny (Wright) - https://en.wikipedia.org/wiki/Nonzero:_The_Logic_of_Human_Destiny
2015 - Geek Heresy: Rescuing Social Change from the Cult of Technology - https://www.amazon.com/Geek-Heresy-Rescuing-Social-Technology/dp/161039528X
2021 - Humankind: A Hopeful History (Bregman) - https://en.wikipedia.org/wiki/Humankind:_A_Hopeful_History
Humankind - https://www.amazon.com/Humankind-Hopeful-History-Rutger-Bregman/dp/0316418536
Humankind Book Review - https://service-science.info/archives/5654
2022 - Service in the AI Era: Science, Logic, and Architecture Perspectives (2022) by Spohrer, Maglio, Vargo, Warg - https://www.amazon.com/Service-AI-Era-Architecture-Perspectives/dp/1637423039
2023 - Design for a Better World: Meaningful, Sustainable, Humanity-Centered (2023) by Don Norman - https://www.amazon.com/Design-Better-World-Meaningful-Sustainable/dp/0262047950/
Brno-IESS 20240206 v10 service science ai.pptxISSIP
It my pleasure to be with you all today – thanks to my host for the opportunity to speak with you all today.
Host: Leonard Walletzky <qwalletz@fi.muni.cz> (https://www.linkedin.com/in/leonardwalletzky/) +420 549 49 7690
Google Scholar: https://scholar.google.com/citations?user=aUvbsmwAAAAJ&hl=cs
Katrina Motkova (https://www.linkedin.com/in/kateřina-moťková-mba-a964a3175/en/?originalSubdomain=cz)
Speaker: Jim Spohrer <spohrer@gmail.com> (https://www.linkedin.com/in/spohrer/) +1-408-829-3112
NordicHouse 20240116 AI Quantum IFTF dfiscussionv7.pptxISSIP
Jim Spohrer presented on AI and quantum computing. He discussed the history of AI from the 1955 Dartmouth workshop to modern advances like AlphaGo, GPT-3, and DALL-E 2. Spohrer noted that computation costs have decreased exponentially over time, driving increases in knowledge worker productivity. He highlighted several experts and resources he follows to stay informed on AI capabilities and implications. Spohrer sees opportunities to improve learning and performance through advances in learning sciences, technology, lifelong learning, and early education. The talk addressed how generative AI works and challenges around verification.
20240104 HICSS Panel on AI and Legal Ethical 20240103 v7.pptxISSIP
20240103 HICSS Panel
Ethical and legal implications raised by Generative AI and Augmented Reality in the workplace.
Souren Paul - https://www.linkedin.com/in/souren-paul-a3bbaa5/
Event: https://kmeducationhub.de/hawaii-international-conference-on-system-sciences-hicss/
Congratulations to the organizers of the “Symposium for Celebrating 40 Years of Bayesian Learning in Speech and Language Processing” and to Prof. Chin-Hui Lee of Georgia Tech the Honorary Chair of the Symposium.
Thanks to Huck Yang (Amazon) for the invitation to record this short message.
Huck Yang
URL: https://www.linkedin.com/in/huckyang/
Event: https://bayesian40.github.io
Recording:
Slides:
URL: https://professionalschool.eitdigital.eu/generative-ai-essentials
Course on Generative Al
Description:
Generative AI is a world-changing power tool that is getting better by the day. So now is the time to get truly inspired, climb up the learning curve, and unleash more of your creative potential.
Learning Topics:
* Inspiration: What is Generative AI in the context of AI's history, present, and future
* Climbing Up: Ways to accelerate your learning trajectory
* Unleashing Creativity: Ways to stay future-ready in the AI era
What You'll Take Away:
By the end of this session, you'll understand the importance of upskilling with today's generative AI tools to get more work done, both faster and at higher quality, as well as some pitfalls to avoid, all within the broader context of the past, present, and future of Artificial Intelligence (AI) and Intelligence Augmentation (IA).
Learning Topics
Inspiration: What is Generative AI in the context of AI's history, present, and future.
Climbing Up: Ways to accelerate your learning trajectory.
Unleashing Creativity: Ways to stay future-ready in the AI era.
Deep dive into ChatGPT's features.
Techniques for basic and advanced prompting and real-world applications.
- Service science has progressed significantly in the past two decades since its inception in the early 2000s.
- However, there is still a long way to go to fully realize the potential of service science and its role in areas like upskilling with AI.
- Looking ahead, some of the biggest challenges will be upskilling entire nations with AI for digital transformation, while also decarbonizing nations through sustainable energy infrastructure - both accomplished through service-based business models.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
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Website: https://pecb.com/
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Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Gender and Mental Health - Counselling and Family Therapy Applications and In...
Empowering makers in the cognitive era 20161202 v4
1. And How the Bluemix Hackathon will Empower YOU
Dr. Christian Eggenberger-Wang, TSS Business Unit Technical Lead in DACH
Petra Kopp, Distinguished Engineer, IBM Global GTS Hybrid Cloud Architecture
with support of Dr. Jim Spohrer, Director Understanding Cognitive Systems, IBM CHQ IP
Bluemix Hackathon Pilot "Improving students life", Ehningen, 06.12.2016 – 09.12.2016
Empowering Makers in the
Cognitive Era
2. A few decades ago, we had simple building blocks and needed
much more effort to build simple things, …
2
Lego Classic Blocks Basic Program drew a Circle on a
Commodore VC64 monitor
3. … than today
3
Lego Mindstorm solving
Rubic’s Cube in seconds:
ibm.biz/BdsqZk
Worldwide Control over your Home
with IBM Bluemix & a Raspberry Pi2:
ibm.biz/BdsqZL
4. The Knowledge & Making developed gradually and literally
culminated in the last couple centuries
4
Societal Knowledge
Personabyte
Societal Knowledge
Personabyte
Societal Knowledge
Personabyte
Organization
Peoplebyte
Societal Knowledge
Personabyte
Organization
Crowdbyte
400,000 years ago ~7 century A.D. ~18 century A.D. ~20 century A.D.
5. Today, even a pencil or a toaster is too complex to be made by
one single person
5
A simple toaster built of 400 pieces
ibm.biz/BdsqL6
Ideas
How I built a toaster –
From scratch
Thomas Thwaites
6. Now, we reach the next stage where the ingeniosity of human
beings seem to commoditized by smart machines
6
2035
2055
“Wim” Klein, human calculator @ CERN
A group of women called “Computers”
The Hidden Figures: ibm.biz/BdsfhE
7. 7
Lets visualize, in what a short space of time one computer have
the same power as one human brain.
* 1 fl oz (US) = ~29.5 cm3 => ~3.1cm * ~3.1cm * ~3.1cm
Lake Michigan’s volume (in fluid ounces (US)*) is about the same as our brain’s
capacity (in calculations per second). Computing power doubles every 18 months. At
that rate, you see very little progress for a long time – and suddenly you are finished.
8. It was a foretaste of what is to come when IBM Deep Blue won
the Chess Tournament against Garry Kasparov in 1997
8
Chess becomes a commodity – Checkmate! For Good ?
Dutch grandmaster Jan Hein
Donner summed up the current
attitude of human chess
masters. When asked
how he would prepare for a
match against a computer, he
replied, “I would bring a
hammer.”
9. Though we made huge progress, we still use cognitive shovels
which will ultimately turn into bulldozers. They will upside down
industries with completely new kind of services
9
IBM’s Watson cluster supercomputer beat the
human champions on the US television quiz
show Jeopardy
1956 – Dartmouth Conference
1956 – 1981 Micro-Worlds
1981 – Japanese 5th Generation
1988 – Expert Systems Peak
1990 – AI Winter
1997 – Deep Blue
1997 – 2011 Real-World
2011 – Jeopardy! & SIRI
2013 – Cognitive Systems Institute
2014 – Watson Business Unit &
True North Brain Chip
2015 – “Cognition as a Service” on IBM Bluemix
Brief History of AI
10. Turing’s and von Neumann’s dream of universal machines and
constructors seems to see light at the end of the tunnel
10
11. Hmmh, scary – What will be our contribution in the future ?
11
12. 12
Luckily, for us, there is a silver lining on the horizon in form of
new ways we collaborate among us and computers
The invention of ‘freestyle’ chess
tournaments shows how this is
possible. In these events, teams can
include any combination of human
and digital players.
Average Specialist + Machine + Better Process beats
Expert + Machine + Inferior Process, and beats
Supercomputer alone
13. Than, there are still areas where humans have a comparative
advantage over machines, as “Thinking Outside of the Box”
13
14. We can assume that many Chess Masters did not have a
distinct T-Shaped Profile
14
15. Who knows, it might be a raised block with one or only a few
deep, vertical bars
15
16. In ‘Freestyle’ Chess Tournaments, the players need broader
skills, but less depth
16
17. WEF illustrates in its study “The Future of Jobs”, how crucial a
T-Shaped profile is to prevail in the job market
17
Top Ten Skills based on the WEF Framework
World Economic Forum (WEF)
18. YOU, as Peoplebyte, will explore T-Shaped skills by teaming
and using “Cognition as a Service” on IBM Bluemix. The Results
and Insights will be more than the sum of its parts.
18
Peoplebyte Cognition as a Service
+
+ >
>
After briefly surveying the history of knowledge, computing, programming, and software engineering, computing education will be reframed as empowering makers in the cognitive era. The makers’ movement is about the democratization of the tools of self-expression and production. From global cloud-based deployment of apps on smart phones to nano-manipulation of advanced materials in custom jewelry and clothing with open designs downloadable for 3D printers, software empowers makers to co-create value in smart service systems. Smart service systems are based on provider platforms that enable customer to interact and co-create value together. In addition, cognitive assistants for all business occupations and societal roles are beginning to appear democratizing access to knowledge and expertise in smart service systems.
Teaching about the elegance, not just correctness, of solutions and how they serve customers wants, needs, and aspiration will be of increasing importance. The implications for a next generation of students who “make a job, not just take a job” even before graduation will be explored. Also, issues of sustainability and resilience of smart service systems with empowered makers in the cognitive era will be explored. Rethinking the rights and responsibilities of empowered makers at all ages will require an especially close examination of the way teamwork is encouraged and rewarded in families, neighborhoods, and educational institutions.
Today’s talk will explore two questions
What should we know how to make?
What might programming education become?
If we look at history we see a time when people could make only simple things, and often a single person could make them.
Would it ever be possible for a single person to know and make complex things? And what role might programming education play?
Will the cognitive era – the coming era of smart machines – make people more capable or less capable to know and make complex things?
Would it ever be possible for a single person to know and make complex things? And what role might programming education play?
Will the cognitive era – the coming era of smart machines – make people more capable or less capable to know and make complex things?
Cesar Hidalgo of MIT Media Lab talks about Personbyte and Peoplebyte knowledge – what a single person can know and make (personbyte), and what a population of people can know and make (peoplebyte). The growth of knowledge and the ability to make more and more complex things – (1) what a person can make - fire, (2) what a city of people can make – buildings, (3) what a factory can make – complex products, (4) what global networks can make – huge things.
MIT Media Lab Youtube: Networks Understanding Networks, Pt. 1: Welcome by Nicholas Negroponte, Joi Ito, and César Hidalgo
https://www.youtube.com/watch?v=mwIjcv7OWMo
No single person can make a pencil – it is too complex. A design student did try to make a toaster – and if you have not seen the TED Talk, I encourage you to watch it – it is very funny.
Toaster Project: http://www.ted.com/talks/thomas_thwaites_how_i_built_a_toaster_from_scratch?language=en
https://en.wikipedia.org/wiki/I,_Pencil
"I, Pencil" is written in the first person from the point of view of a pencil. The pencil details the complexity of its own creation, listing its components (cedar, lacquer, graphite, ferrule, factice, pumice, wax, glue) and the numerous people involved, down to the sweeper in the factory and the lighthouse keeper guiding the shipment into port.
If Moore’s Law continues, by 2035 and by 2055, we are projected to have unimaginably large amounts of cheap computing…. 2035 one human brain level, and by 2055 all human brains level(10 billion people).
Based on Kurweil’s graph of how much compute power $1000 will buy, it seems that by 2030, for $1000 you should be able to buy the compute power of one person’s brain, and that by 2060 for $1000 you should be able to buy the computer power of 10***10, or 10B people, the compute power of the world’s population for $1000.
Source:
http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html
Was Moore’s Law inevitable?
http://kk.org/thetechnium/was-moores-law/
Wim (Willem) Klein, Human Calculator @ CERN in the late 1950s.
http://afflictor.com/tag/wim-klein/
Source URL: Mother Jones - http://www.motherjones.com/media/2013/05/robots-artificial-intelligence-jobs-automation
You can tell famous computer scientists and mathematicians, because they end up on stamps…
Von Neumann was one of the first to make the connection to computation and self-replicating automata…. Both Turing and von Neumann dreamed of universal machines, universal constructors, kinematic machines, self-replicating machines, and more….
Source: https://en.wikipedia.org/wiki/Self-replicating_machine
Source: The Second Machine Age – Work, Progress and Prosperity in a Time of Brilliant Technologies by Erik Brynjolfsson & Andrew McAfee
As Kasparov himself stated in 2005, “The teams of human plus machine dominated even the strongest computers. The chess machine Hydra, which is a chess-specific supercomputer like Deep Blue, was no match for a strong human player using a relatively weak laptop. Human strategic guidance combined with the tactical acuity of a computer was overwhelming. At the end, the winners were amateur American chess players using three computers at the same time. Their skill at manipulating and “coaching” their computers to look very deeply into positions effectively counteracted the superior chess understanding of their grandmaster opponents.
If Moore’s Law continues, by 2035 and by 2055, we are projected to have unimaginably large amounts of cheap computing…. 2035 one human brain level, and by 2055 all human brains level(10 billion people).
Based on Kurweil’s graph of how much compute power $1000 will buy, it seems that by 2030, for $1000 you should be able to buy the compute power of one person’s brain, and that by 2060 for $1000 you should be able to buy the computer power of 10***10, or 10B people, the compute power of the world’s population for $1000.
Source:
http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html
Was Moore’s Law inevitable?
http://kk.org/thetechnium/was-moores-law/
Wim (Willem) Klein, Human Calculator @ CERN in the late 1950s.
http://afflictor.com/tag/wim-klein/
If Moore’s Law continues, by 2035 and by 2055, we are projected to have unimaginably large amounts of cheap computing…. 2035 one human brain level, and by 2055 all human brains level(10 billion people).
Based on Kurweil’s graph of how much compute power $1000 will buy, it seems that by 2030, for $1000 you should be able to buy the compute power of one person’s brain, and that by 2060 for $1000 you should be able to buy the computer power of 10***10, or 10B people, the compute power of the world’s population for $1000.
Source:
http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html
Was Moore’s Law inevitable?
http://kk.org/thetechnium/was-moores-law/
Wim (Willem) Klein, Human Calculator @ CERN in the late 1950s.
http://afflictor.com/tag/wim-klein/
If Moore’s Law continues, by 2035 and by 2055, we are projected to have unimaginably large amounts of cheap computing…. 2035 one human brain level, and by 2055 all human brains level(10 billion people).
Based on Kurweil’s graph of how much compute power $1000 will buy, it seems that by 2030, for $1000 you should be able to buy the compute power of one person’s brain, and that by 2060 for $1000 you should be able to buy the computer power of 10***10, or 10B people, the compute power of the world’s population for $1000.
Source:
http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html
Was Moore’s Law inevitable?
http://kk.org/thetechnium/was-moores-law/
Wim (Willem) Klein, Human Calculator @ CERN in the late 1950s.
http://afflictor.com/tag/wim-klein/
If Moore’s Law continues, by 2035 and by 2055, we are projected to have unimaginably large amounts of cheap computing…. 2035 one human brain level, and by 2055 all human brains level(10 billion people).
Based on Kurweil’s graph of how much compute power $1000 will buy, it seems that by 2030, for $1000 you should be able to buy the compute power of one person’s brain, and that by 2060 for $1000 you should be able to buy the computer power of 10***10, or 10B people, the compute power of the world’s population for $1000.
Source:
http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html
Was Moore’s Law inevitable?
http://kk.org/thetechnium/was-moores-law/
Wim (Willem) Klein, Human Calculator @ CERN in the late 1950s.
http://afflictor.com/tag/wim-klein/