Her research interests focus on artificial intelligence (AI), with an emphasis on preference modelling and reasoning, constraint processing, multi-agent systems and voting theory. Among other things, she wants to study how people make decisions and compromise in social contexts, based on their preferences. On our stage she will share with us some findings of her research and elaborate on the present and future of AI.

Professor of computer science at the University of Padova, Italy

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

Rod Brooks, Founder, Chairman and CTO, Rethink Robotics

Tom Kochan, Co-Director and Professor, Work and Employment Research, MIT Sloan School of Management

Andrew McAfee, Co-Director, MIT Initiative on the Digital Economy, and Principal Research Scientist, MIT Sloan School of Management

November 2nd, 2017

from – Brief Answers To Short Questions by Stephen Hawking.


#intellectual #book #audiobook #stephenhawking

Artificial intelligence has been described as “the new electricity”, poised to revolutionize human life and benefit society as much or more than electricity did 100 years ago. AI has also been described as “our biggest existential threat”, a technology that could “spell the end of the human race”. Should we welcome intelligent machines or fear them? Or perhaps question whether they are actually intelligent at all? In this talk, AI researcher and award-winning author Melanie Mitchell describes the current state of artificial intelligence, highlighting the field’s recent stunning achievements as well as its surprising failures. Mitchell considers the ethical issues surrounding the increasing deployment of AI systems in all aspects of our society, and closely examines the prospects for imbuing computers with humanlike qualities.

Berkeley EECS Annual Research Symposium 2/9/17
Panel 2 – Long-Term Future of (Artificial) Intelligence
Provably Beneficial AI – Stuart Russell (0:00-24:25)
The Future of AI is Here – Benjamin Recht (25:34-36:16)
A Glimmer of Hope – Alyosha Efros (36:23-42:12)
panel discussion (42:15-1:19:45)

Captions available upon request.

Stuart Russell (University of California, Berkeley, USA):
I will briefly survey recent and expected developments in AI and their implications. Some are enormously positive, while others, such as the development of autonomous weapons and the replacement of humans in economic roles, may be negative. Beyond these, one must expect that AI capabilities will eventually exceed those of humans across a range of real-world-decision making scenarios. Should this be a cause for concern, as Elon Musk, Stephen Hawking, and others have suggested? And, if so, what can we do about it? While some in the mainstream AI community dismiss the issue, I will argue that the problem is real and that the technical aspects of it are solvable if we replace current definitions of AI with a version based on provable benefit to humans.

Moderator: Helga Nowotny (Chair of the ERA Council Forum Austria and Former President of the ERC)

EECS Colloquium
Wednesday, October 16, 2019
306 Soda Hall (HP Auditorium)

Caption available upon request

Artificial intelligence is beginning to be usefully deployed in almost every industry from customer call centers and finance to drug research. Yet the field is also plagued by relentless hype, opaque jargon and esoteric technology making it difficult for outsiders identify the most interesting companies.

To cut through the spin, Forbes partnered with venture firms Sequoia Capital and Meritech Capital to create our second annual AI 50, a list of private, U.S.-based companies that are using artificial intelligence in meaningful business-oriented ways. To be included, companies had to be privately-held and focused on techniques like machine learning (where systems learn from data to improve on tasks), natural language processing (which enables programs to “understand” written or spoken language), or computer vision (which relates to how machines “see”).

The list was compiled through a submission process open to any AI company in the U.S. The application asked companies to provide details on their technology, business model, customers and financials like funding, valuation and revenue history (companies had the option to submit information confidentially, to encourage greater transparency). In total, Forbes received about 400 entries. From there, our VC partners applied an algorithm to identify the 100 with the highest quantitative scores and then a panel of eight expert AI judges identified the 50 most compelling companies.

Read the full profile on Forbes: https://www.forbes.com/sites/alanohnsman/2020/07/03/ai-50-americas-most-promising-artificial-intelligence-companies/#6244263a5c99

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Natural language processing is a subfield of artificial intelligence (AI) concerned with the interactions between computers and human languages. It was formulated to build software that generates and comprehends natural languages so that a user can have natural conversations with the computer instead of through programming or artificial languages like Java or C. In this video, we will be learning all about Natural Language Processing (NLP), its various aspects and what the future holds for NLP.
Stay tuned to learn more about NLP with Great Learning!
#NaturalLanguageProcessing #ArtificialIntelligence #GreatLearning

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Artificial intelligence 25 Predicate Logic In ai or predicate logic in artificial intelligence.
predicate logic is different from prepositional logic as predicate logic deals with relation and real world entity unlike prepositional logic which is based on true or false
predicate logic deals with 3 world entities known as
predicate object, predicate function predicate relation.
predicate logic has ability to represent facts about object
predicate logic enables to represent law and facts from real world entity
predicate syntax follow object , relation and function. this video is about predicate logic in artificial intelligence

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Dr Ben Goertzel is the Founder and CEO of SingularityNET and Chief Science Advisor for Hanson Robotics.

He is one of the world’s leading experts in Artificial General Intelligence (AGI), with decades of expertise in applying AI to practical problems like natural language processing, data mining, video gaming, robotics, national security and bioinformatics.

He was part of the Hanson team which developed the AI software for the humanoid Sophia robot, which can communicate with humans and display more than 50 facial expressions.Today he also serve as Chairman of the AGI Society, the Decentralized AI Alliance and the futurist nonprofit organisation Humanity+.

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This session took place in February 2016.

Part 1 of 7 – Speaker: Dr Maja Pantic, Professor of Affective Behavioural Computing, Imperial College London

Data mining, machine learning and artificial intelligence are becoming the most talk-about topics in digital health. With vast volumes of medical data available, exploiting these techniques to derive valuable insights may both challenge and reshape certain elements of our healthcare system.

These new approaches are leading to redefining drug discovery, assisting and automating diagnoses and helping predict and prevent diseases using health record data – or even our digital footprint. Artificially intelligent algorithms will permeate both the lives of the doctor and patient.

But there remains much hype, confusion and misunderstanding in the field. What is possible and what are the limitations? How will medicine adapt and what will be the impact on patient’s health and autonomy?

In his most recent project, Roman Lipski developed the first digital muse for artists in collaboration with YQP & Birds on Mars, which is based on the dialogue between artist and computer. Roman Lipski is a Polish born painter, who has lived and worked in Berlin since 1989. His celebrated art has been exhibited in numerous museums all over the world – such as in the Nagoya/Boston Museum of Fine Arts in Japan, the National Art Museum of China or the Elgiz Museum of Contemporary Art in Istanbul. In his most recent project “Unfinished”, Roman Lipski developed the first digital muse for artists in collaboration with YQP & Birds on Mars, which is based on the dialogue between artist and computer. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

Over the years, art across all genres has evolved, be it its definition, structure or its medium. The one thing that has stayed constant is its association with humans and their creativity. Until #ArtificialIntelligence stepped in. Then, the game changed.

Check out this video to know how Artificial Intelligence is getting into the shoes of the most creative minds of all time.

Also, let us know in the comments if you believe that Art in Artificial Intelligence is the future.

#RahoAmbitious #FutureForward

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Talks @ Amsterdam AI #2, 27.09.2016

► Camiel Verschoor from Brids.AI talking – “Using AI to push agriculture forward”

► Rodger Buyvoets from Crobox


Amsterdam AI is part of the global applied AI community City AI. We are a community of AI practitioners across 40+ cities that share their challenges and lessons learned in applied AI. For that purpose we organize quarterly get-togethers that help you connect to your local artificial intelligence community.


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“We Come In Peace” II, was a practical panel discussion that discussed the impact of Artificial Intelligence in our Ohio communities. The panelists covered some of the many projects underway in Ohio that utilizes AI technology such as Smart Cities, Self-Driving Vehicles, Cognitive Computing, and local AI start-ups. But also discussed some of the social, ethical, and economic challenges that have to be met when implementing AI technologies. The panelists were: Andrew Konya, CEO of Remesh,
Cleveland, Ohio, Doug McCollough, Chief Technology Officer, Dublin, Ohio, Paul Carlson, Intelligent Community Strategist, Columbus, Ohio, Dr. Mark Vopat, Political Philosophy, Technology Ethicist, Youngstown State University, Dr. Jay Ramanathan
Executive Director of Arthapedia.zone, and Dr. Shiqi Zhang, AI and Human-Robotics Researcher, Cleveland State University. Our very special guest moderator is Nikola Danaylov, Singularity Keynote Speaker, Blogger and Podcast Host.

Science Documentary: Genetics, Robotics, Quantum Computing, Artificial Intelligence

There are several technologies emerging that will change what it means to be called a human being. Genetics is the manipulation of cells at their most basic levels. Along with genomics, the manipulation of proteins will give scientists the ability to create whatever they want.

In the pharmaceutical industry, one of the most exciting treatments to arise are memory pills. These should be available in the coming years to treat patients with alzheimer’s and eventually the general public. The possibilities include eventually being able to take a pill to help you learn another language, improve test taking, etc.

Another interesting promise of the future of genetics is the promise of various new vaccines to help quit smoking. Also, DARPA has developed an anti-sleep vaccine. This is a vaccine that simply shuts off the trigger that makes us fall asleep. Another human enhancement technology being developed by DARPA is a drug that triggers the body to burn fat cells.

The future of robotics involves the melding of human and machine attributes into what can be referred to as a cyborg. Intelligent machines are becoming more and more prevalent in military combat. And they are also becoming much more complex. Wearable robot suits that amplify your lifting capacity will be available in the not so distant future.

Consciousness and Neuroscience
One of the biggest mysteries in neuroscience is consciousness. Scientists have discovered a lot about the brain, but little progress has been made in understanding consciousness. It is as if the study of the brain and mind are separate. It is puzzling to scientists as to why we subjectively experience anything. If we understood every single brain cell and every single brain process, we still would not understand consciousness as a physical object within the brain. Any kind of theory of the brain, that is able to handle and support an understanding of subjective experience or neuro-rehabilitation or other such complex brain functions may revolutionize artificial intelligence and robotics.

AGI – Artificial General Intelligence
Artificial intelligence is currently being used to control animated characters in video games. Integrating Artificial intelligence into robotics has proved rather difficult. As humans, we use metaphors everyday in our speech to describe complex ideas. Trying to teach robots to be able to interpret and comprehend these metaphors could be a tough task. But as scientists progress in their integration of artificial intelligence and robotics, we may soon see more and more of our human senses replicated in a much more precise and sophisticated fashion.

Optical Quantum Computing
The future of medial treatment may involve the use of quantum computers. Patients will have a device like a cell phone that they carry with them which monitors their health and sends the information to their doctor who can then prescribe treatment to his patient. Understanding quantum physics has allowed researchers to develop this technology as well as other more and more complex quantum technologies.

Science Documentary: Personalized Medicine, Synthetic Biology , a documentary on genetic design

Science Documentary:Perfect lenses,smart textiles,biomedical sensors a documentary on nanotechnology

Science Documentary: Comets: threat to extinguish life and potential to bring life: Rosetta, Philae

Science Documentary: The Sun, a science documentary on star life cycles, star formation

Science Documentary: Big Bang, Inflation, Multiverse, a Documentary on Cosmology

Science Documentary: Planet formation, a documentary on elements, early earth and plate tectonics

Science Documentary : Electromagnetic Spectrum , a science documentary on forms of light

This will help you to learn how artificial intelligence is improving our lifestyle daily. What are the types of artificial intelligence? How can artificial intelligence will be creative and mimic humans. How we are transforming our all dependencies on Artificial Intelligence. So watch complete video.

Humans create an AI designed to produce paperclips. It has one goal, to maximize the number of paperclips in the universe. The machine becomes more intelligent and optimizes its single function, producing paperclips. Eventually that machine learns that converting all of the matter, including people, into paperclips, is the best way to achieve its singular goal.
That’s a thought experiment in the book titled, Superintelligence, by nick bostrom, a philosopher who directs the Future of Humanity Institute at the University of Oxford.
It sounds stupid at first, right?
Well, not entirely.
Our actions as humans are based on values, rules, interest, greed, love, fear.
Artificial Superintelligence has none of that.Just one goal to achieve and unlimited resources. Of course , we are oversimplifying things here, but that’s in order to understand how easy it is to underestimate the potential threats coming from artificial intelligence.
But not everyone agrees with this scenario.

Kurzweil [computers become smarter than humans] this would begin a beautiful new era. Such machines would have the insight and patience (measured in picoseconds) to solve the outstanding problems of nanotechnology and spaceflight; they would improve the human condition and let us upload our consciousness into an immortal digital form. Intelligence would spread throughout the cosmos.”
I am infinitely excited about artificial intelligence and not worried at all. Not in the slightest. AI will free us humans from highly repetitive mindless repetitive office work, and give us much more time to be truly creative. I can’t wait. — Sebastian Thrun, computer science professor, Stanford University

But Stephen Hawking it’s not so optimistic. He has warned that humans would have no chance to control a superintelligent machine , and that “could spell the end of the human race.” Upon reading Superintelligence, the entrepreneur Elon Musk tweeted: “Hope we’re not just the biological boot loader for digital superintelligence. Unfortunately, that is increasingly probable.”
Russell made this analogy: “It’s like fusion research. If you ask a fusion researcher what they do, they say they work on containment. If you want unlimited energy you’d better contain the fusion reaction. Similarly, if you want unlimited intelligence, you’d better figure out how to align computers with human needs.”
But let’s set all that to the side.The stage that we are today, is called weak artificial intelligence, and it’s used today on semi self driving cars, personal assistants, and much more. It’s not self-aware or goal-driven,therefore it doesn’t represent any threats to humanity. We are nowhere near having a general purpose artificial intelligence, let alone a superintelligent one. Experts agree, that we are at least 20 years away from the next breakthrough in this field.
Worrying about evil-killer AI today is like worrying about overpopulation on the planet Mars. Perhaps it’ll be a problem someday, but we haven’t even landed on the planet yet. This hype has been unnecessarily distracting everyone from the much bigger problem AI creates, which is job displacement. — Andrew NG, VP and chief scientist of Baidu; co-chair and co-founder of Coursera; adjunct professor, Stanford University
In my opinion, that’s a good point. Let’s focus on the effect of AI on the economy.
“I am less concerned with Terminator scenarios, If current trends continue, people are going to rise up well before the machines do.” MIT economist Andrew McAfee.


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Artificial intelligence no longer simply exists in science fiction movies and books. From self-driving cars to intelligent computers to help doctors, these technologies are already being developed. At the Milken Institute Global Conference in Los Angeles, scientists discussed the benefits and dangers of artificial intelligence and how it will change the world. Elizabeth Lee reports.
Originally published at – http://www.voanews.com/media/video/artificial-intelligence-can-be-harmful-and-helpful-to-humans-scientists-say-/3325659.html

Ben Goertzel is one of the most interesting minds in the artificial intelligence community. He is the founder of SingularityNET, designer of OpenCog AI framework, formerly a director of research at the Machine Intelligence Research Institute, Chief Scientist of Hanson Robotics, the company that created the Sophia Robot. He has been a central figure in the AGI community for many years, including in the Conference on Artificial General Intelligence.

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0:00 – Introduction
3:20 – Books that inspired you
6:38 – Are there intelligent beings all around us?
13:13 – Dostoevsky
15:56 – Russian roots
20:19 – When did you fall in love with AI?
31:30 – Are humans good or evil?
42:04 – Colonizing mars
46:53 – Origin of the term AGI
55:56 – AGI community
1:12:36 – How to build AGI?
1:36:47 – OpenCog
2:25:32 – SingularityNET
2:49:33 – Sophia
3:16:02 – Coronavirus
3:24:14 – Decentralized mechanisms of power
3:40:16 – Life and death
3:42:44 – Would you live forever?
3:50:26 – Meaning of life
3:58:03 – Hat
3:58:46 – Question for AGI

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Work, play, privacy, communication, finance, war, and dating: algorithms and the machines that run them have upended them all. Will artificial intelligence become as ubiquitous as electricity? Is there any industry AI won’t touch? Will AI tend to steal jobs and exacerbate income inequalities, or create new jobs and amplify human abilities at work — or, both? How can the global population adjust to the changes ushered in by artificial intelligence and its capabilities? In light of these changes, how will we remake work, education, and community? Can we build it better than we did before?

Andrew Ng
Jason Pontin, Interviewer

Terah Lyons, discusses how Artificial Intelligence is currently handled by our government, and how this may change overtime.

Terah Lyons is a Policy Advisor to the U.S. Chief Technology Officer at The White House Office of Science and Technology Policy.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

Artificial Intelligence Conquering the next frontier of the digital world … discussion in the end whether the AI is really the future to humanity ….. machine learning that is done by mimicking the human brain’s multilevel functions …

From global leader of Watson for IBM global business services to enterprise artificial intelligence leader Noodle AI, Stephen Pratt has a fascinating story to share.

The tech industry is filled with buzzwords, and many techies hide behind jargon. But anything this going to transform businesses, then it needs to be in a language that everyone understands and not just the IT departments.

For example, I don’t think there is anyone that would argue that Artificial Intelligence is going to transform every industry but ask them what it is, and you will get many different answers. I recently came across a company called Noodle AI who were able to demystify AI and put it into a tagline that everyone can understand.

AI is not magic, its just math. And this is encapsulated what this technology is for me. Many over complicate AI, but when you strip it back its just math. Sure on a massive scale and only possible now because of the computing power at our disposal

Noodle.ai is the leading Enterprise Artificial Intelligence applications company. The breakthrough design of Noodle.ai is based on a set of interconnected learning algorithms across supply and demand planning. Founded in 2016, Noodle.ai is led by executives previously with the top firms in data science, artificial intelligence, machine learning, and management consulting.

Stephen Pratt is an instigator, agitator, and pioneer in creating world-class technology services organizations. He has spent his career building innovative ways to create value for the world’s most important organizations. Prior to Noodle, he was responsible for all Watson implementations worldwide for IBM Global Business Services. He also was the founder and CEO of Infosys Consulting, a Senior Partner at Deloitte Consulting, and a technology and strategy consultant at Booz, Allen & Hamilton.

He twice has been selected as one of the top 25 consultants in the world by Consulting Magazine. He has Bachelors and Masters degrees in Electrical Engineering from Northwestern University and The George Washington University focused on Satellite Communications. For fun, Steve plays competitive tennis, races sailboats, and formerly was a crazed rugby player. He enjoys playing acoustic guitar for his children (not ready for prime time)

Avi Goldfarb, co-author of Prediction Machines talks to Kim Parlee about why AI will reform our economy and what you can do to prepare yourself and your business.

Will AI Kill Us in the future?
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My presentation from the European Big Data Value Forum event in Helsinki on October 15th 2019. www.ebdvf.eu

This panel discussion was organized on 20 November 2019 by the NIAS Consciousness Studies Programme and supported by TATA Trusts.
The panellists: Prof. Sangeetha Menon, Dr. Sudarshan Iyengar, Dr. N.C. Narayanan, Dr. Tilak Agerwala & Dr. Saurabh Todariya.

Andrew Yan-Tak Ng (Chinese: 吳恩達; born 1976) is a Chinese-American computer scientist and statistician, focusing on machine learning and AI. Also a business executive and investor in the Silicon Valley, Ng co-founded and led Google Brain and was a former Vice President and Chief Scientist at Baidu, building the company’s Artificial Intelligence Group into a team of several thousand people.

Ng is an adjunct professor at Stanford University (formerly associate professor and Director of its AI Lab). Also a pioneer in online education, Ng co-founded Coursera and deeplearning.ai. With his online courses, he has successfully spearheaded many efforts to “democratize deep learning.” Since 2018 he launched and currently heads AI Fund, initially a $175-million investment fund for backing artificial intelligence startups. He has founded Landing AI, which provides AI-powered SaaS products and Transformation Program to empower enterprises into cutting-edge AI companies.

References: Wikipedia, NG Linkedin profile

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Artificial intelligence is everywhere – it selects the next video on YouTube and your route on Google Maps. But soon, AI will make decisions that significantly impact your life – diagnosing illnesses, performing surgery, and driving your kids’ school bus. The stakes are high. Bradley Hayes argues that we can only trust AI if we understand how it makes decisions and why. We need explainable AI. Bradley Hayes directs the Collaborative AI and Robotics Research Lab at the University of Colorado Boulder, where he is an Assistant Professor. As CTO of Circadence Corporation, he develops revolutionary educational programming to expand the cybersecurity workforce. He completed a Ph.D. in Computer Science at Yale University’s Social Robotics Lab and was a postdoctoral associate in MIT’s Interactive Robotics Group. Currently, he’s developing novel explainable AI techniques for safe human-robot collaboration. He will never say no to sushi. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx