Dr. Zulfikar Ramzan, Chief Technology Officer, RSA
https://www.rsaconference.com/events/ad16/agenda/sessions/2892/machine-learning-cybersecurity-boon-or-boondoggle (More)

CSE 25th Anniversary (More)

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When Geoffrey Hinton, a researcher at Google and professor emeritus at the University of Toronto, began his work in deep learning in the 1970s, he was told he would spend his life toiling away in obscurity. Deep learning is a form of artificial intelligence that mimics the human brain. Now, four decades later, his research is revolutionizing AI. He joins The Agenda to discuss his work and what kept him going. (More)

Artificial Intelligence is by far the most important Technology of our era. AI is about to transform society, and I think it’s very important for people to understand the basics of it. In this video, I explain you the differences between Artificial Intelligence, Machine Learning and Deep Learning. (More)

The Chinese state run news agency Xinhua recently revealed the first Artificial Intelligence news anchor. They're now able to generate video of a newscaster using a model trained on real newscaster data and use it to disseminate information 24/7. When I saw this, I knew it was time to start studying China's role in the AI revolution in-depth. In this video, I'll cover China's power structure, generative adversarial networks, its startup scene, Confucianism, the social credit scoring system, algorithmic policing, surveillance, privacy, autonomous weapons, and convolutional neural networks. A lot of different topics to cover, but I hope this video provides a coherent narrative around the use of AI in China and how it plays into the global AI community. Enjoy! (More)

( TensorFlow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow )
This video on Artificial intelligence gives you an introduction to artificial intelligence with futuristic applications of AI. It also tells you how to implement artificial intelligence using deep neural networks. (More)

Part 02 - Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, . (More)

Einstein's Legacy | An Origins Project by Lawrence Krauss P1. (More)

This video highlights debates and discussions regarding the future impact of artificial intelligence! (More)

The future of business is here! WIRED and Amazon Web Services take a deep dive into the world of AI and deep learning to show how significant and impactful they can be for businesses. Learn more about Machine Learning on AWS at - https://amzn.to/2BqsgWi. (More)

If you're interested in licensing this or any other Big Think clip for commercial or private use, contact our licensing partner Executive Interviews: https://www.executiveinterviews.biz/contact-us/americas/ (More)

Artificial Intelligence is our best bet to understand the nature of our mind, and how it can exist in this universe. (More)

If you're interested in licensing this or any other Big Think clip for commercial or private use, contact our licensing partner Executive Interviews: https://www.executiveinterviews.biz/contact-us/americas/ (More)

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The world is in a period of revolutionary digital transformation that is driven by artificial intelligence and machine learning. But as AI’s uses become more widespread, an important question arises: who will be building these technologies? Currently, there is a diversity crisis in engineering – women and people of color make up only a small percentage of computer scientists, and their numbers appear to be even lower in the AI field. What are the implications if this massively important technology is fundamentally biased? And what can we do to bridge the gap? Eva Prakash is a rising senior and an advocate of diversity in artificial intelligence. She is the founder and CEO of Girl 2.0, a 501(c)3 nonprofit organization in California that is dedicated to closing the gender gap in technology by providing free computer science education to girls and other underrepresented minorities in STEM. The organization is focused on debunking the myth that coding is only for “white guys in hoodies” by rebranding what it means to be a computer scientist. Currently, Eva is a student researcher in computational biology at Stanford University, where she works on the interpretability of machine learning models for genomics. 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 (More)

Peter Bock discusses the evolution of Artificial Intelligence and states his intention of creating the world's first artificial being. He shows the capabilities of the current system, known as ALISA, in creating works of art. (More)

This is footage from a workshop I ran for the European Commission (July, 2018, Brussels) on Neuroscience, Artificial Intelligence, and the future of education. (More)

Sarah Jenna Ph.D. is a Professor in Genomics at the University of Quebec in Montreal and CEO and co-Founder of My Intelligent Machines, a company developing an artificial intelligence-powered platform to help life-scientists find, share and analyse their omic data. Sarah Jenna is a Professor in Genomics at the University of Quebec in Montreal (UQAM) and CEO and co-Founder of My Intelligent Machines (MIMs; www.mims.ai), a company developing artificial Intelligence-powered platform to help life-scientists find, share and analyse their omic (genomic, proteomic, metabolomic...) data. She received her Ph.D. degree in cell biology and microbiology in 1998 from the University Aix-Marseille in France. She was a post-doctoral fellow at McGill University in cell signaling, genomics and proteomics. The research program she carries out in her laboratory (http://jennasarah.wixsite.com/jennaslab), develops novel integrative genomic strategies to better understand functional interactions between genes and the plasticity of signaling programs controlling epithelial morphogenesis in nematodes and humans. She is one of the rare woman scientists with a university position becoming CEO of a high-technology company. 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 (More)

Matt Zeiler sits down with GLG (Gerson Lehrman Group) to discuss advances in computer vision and how AI enables your computer to learn what's inside an image. (More)

Jonathan Penn compares AI to Central Park and gives some ideas of how we can collectively handle the future of AI. He recognizes that the development of AI has and will continue to raise many new challenges. However, he shows how this is the right time to develop it and he gives some guidelines. (More)

Complete video at: http://fora.tv/2009/05/30/Rodney_Brooks_Remaking_Manufacturing_With_Robotics (More)

Social VIP Colin Sumter sat down with IBM's Rich Rodgers at the recent IBM Vision conference to discuss the difference between artificial intelligence and augmented intelligence. Learn more: https://ibm.co/2srxyJI (More)

Computers are continuing to change our lives as the sophistication of the human machine interface develops and becomes more powerful. (More)

How can machines and humans come together to achieve new feats?
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https://cyberpunk.ar.lol
Trying new hair colours with @YouCamApps
The app combines AI and AR to map your hair and realistically portray what you’d look like in different colours
by https://twitter.com/AmandaCosco (More)

Will AI make teachers obsolete? Topic for TEDx: Implications of Artificial Intelligence in Education 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 (More)

Most existing machine learning classifiers are highly vulnerable to adversarial examples. In this video we deep dive into how adversarial examples generalize themselves and what we can do to combat the issue. We also discuss the latest research work on Adversarial Patch (Research at Google). (More)

Supplementary material of our paper to be presented on the CVPR Workshop: CVCOPS (https://cvcops19.cispa.saarland/). (More)

Ray Kurzweil explores how and when we might create human-level artificial intelligence at the January 2017 Asilomar conference organized by the Future of . (More)

Yann LeCun gives an overview of AI and outlines a path toward more general and complete AI at the January 2017 Asilomar conference organized by the . (More)

In January 2017, AI pioneer Yoshua Bengio explores paths forward to human-level artificial intelligence and talks about breakthroughs in creating human level . (More)

Ray Kurzweil explores how and when we might create human-level artificial intelligence at the January 2017 Asilomar conference organized by the Future of . (More)