Panelists include Jeff Dean, Alison Gopnik, Demis Hassabis, and Chris Manning.

Co-chair of the Gates Foundation, Bill Gates sits down with AI4ALL alumni for a special conversation.

Fei-Fei Li came to the U.S. from China at 16 with a love for science and she never looked back. Educated at Princeton and Caltech, her early work in robotics revolutionized machine learning and AI. Her focus on inclusion in tech careers and diversity in what we teach machines suggests that tomorrow’s robots won’t be sexist.

Professor Christopher Manning, Stanford University & Margaret Mitchell, Google AI
http://onlinehub.stanford.edu/

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224n/index.html#schedule

To get the latest news on Stanford’s upcoming professional programs in Artificial Intelligence, visit: http://learn.stanford.edu/AI.html

To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu

Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Visit our website at http://bigdata.stanford.edu/.

Fei-Fei Li came to the U.S. from China at 16 with a love for science and she never looked back. Educated at Princeton and Caltech, her early work in robotics revolutionized machine learning and AI. Her focus on inclusion in tech careers and diversity in what we teach machines suggests that tomorrow’s robots won’t be sexist.

makers.com/techmakers

Professor Christopher Manning & PhD Candidate Abigail See, Stanford University
http://onlinehub.stanford.edu/

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224n/index.html#schedule

To get the latest news on Stanford’s upcoming professional programs in Artificial Intelligence, visit: http://learn.stanford.edu/AI.html

To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu

Precision Health is a fundamental shift to more proactive and personalized health care that empowers people to lead healthy lives. It is in this spirit of possibility and promise that Stanford Medicine hosted the sixth year of this conference in 2018, bringing together international researchers and leaders from academia, health care, government, and industry to develop actionable steps for improving human health.
 
Panelists on a panel about meaningful use of deep/machine learning in medicine included:
* Katherine Chou, Google
* Kevin Lyman, Enlitic
* Jenna Wiens, University of Michigan
* Natalie Pageler, Stanford

Moderator: Serena Yeung, Stanford

For more information, visit: https://bigdata.stanford.edu/

► Album & 4k Video: http://NigelStanford.com/y/a-/Automatica
► Spotify: http://NigelStanford.com/y/Spotify
Subscribe and like to see more Robot videos, as I release them for my album Automatica.
Robots rock, they were fun to work with. My favorite is the robotic drummer. More work to be done, and maybe I could play with them live. Stay tuned 🙂 Thank you to Kuka, Sennheiser and Roland

An introduction to the breadth of topics in the field of AI and human rights, and a welcome to the distinguished panelists and attendees.

Keynote speakers:
David Freeman Engstrom is a far-ranging scholar of the design and implementation of litigation and regulatory regimes whose expertise runs to civil procedure, administrative law, federal courts, constitutional law, legal history, and empirical legal studies. Current work includes a study for the Administrative Conference of the United States on AI use by federal agencies and a project on the effect of emerging legal technologies on the civil justice system. He is also serving as an Associate Dean at Stanford Law and is leading an initiative charting the school’s future around digital technology. Beyond teaching and research, Engstrom has served as counsel or consultant to a range of public and private entities and is a frequent amicus before the U.S. Supreme Court. He is an elected member of the American Law Institute and a faculty affiliate at the Stanford Human-Centered AI Initiative and at CodeX: The Stanford Center for Legal Informatics. He has a J.D. from Stanford Law School, an M.Sc. from Oxford University, and a Ph.D. from Yale University.

Alexa Koenig, Ph.D., J.D, is the Executive Director of the Human Rights Center (winner of the 2015 MacArthur Award for Creative and Effective Institutions) and a lecturer at UC Berkeley School of Law, where she teaches classes on human rights and international criminal law with a particular focus on the impact of emerging technologies on human rights practice. She co-founded the Human Rights Investigations Lab, which trains undergraduate and graduate students to use cutting-edge open source methods to support human rights advocacy and accountability. Alexa is co-chair of the World Economic Forum’s Global Future Council on Human Rights and Technology, a member of the American Association for the Advancement of Science’s Committee on Scientific Freedom and Responsibility, co-chair of the Technology Advisory Board of the Office of the Prosecutor at the International Criminal Court, and a founding member of the board of advisors for ARCHER, a UC Berkeley-established nonprofit that leverages technology to make data-driven investigations accessible, smarter and more scalable. Alexa has been honored with several awards for her work, including the United Nations Association-SF’s Global Human Rights Award, Mark Bingham Award for Excellence, the Eleanor Swift Award for Public Service, the Phi Beta Kappa Northern California Teaching Excellence Award, and diverse grants, including support from the National Science Foundation and numerous private foundations. Her research and commentary have appeared in the Annual Review of Law and Social Science, Foreign Policy, Foreign Affairs, US News and World Report, and elsewhere.

Excerpts of Bill Gates remarks on AI as being both promising and dangerous. It was at the Human-Centered Artficial Inteligence Symposium that took place at Stanford University on March 18, 2019.
For the whole video of the Symposium go to:
https://youtu.be/yjSlatKnfqQ

EE380: Computer Systems Colloquium Seminar
Artificial Intelligence: Current and Future Paradigms and Implications
Speaker: Scott Phoenix, Vicarious

Artificial intelligence has advanced rapidly in the last five years. This talk intends to provide high-level answers to questions like:

What can the evolution of intelligence in the animal kingdom teach us about the evolution of AI?
How should people who are not AI researchers view the societal transformation that is now underway? What are some of the social, economic, and political implications of this technology as it exists now?
What will future AI systems likely be capable of, and what are the largest expected impacts of these systems?

The talk will be understandable for non-computer scientists.

About the Speaker:

Scott Phoenix is CEO and a founder of Vicarious, an AI research company building general intelligence for robots. Vicarious has received over $110 million in funding from pioneers like Mark Zuckerberg, Elon Musk, and Jeff Bezos. Prior to co-founding Vicarious, Mr. Phoenix was an entrepreneur-in-residence at Founders Fund. He earned his BAS in Computer Science and Entrepreneurship from the University of Pennsylvania.

For more information about this seminar and its speaker, you can visit https://ee380.stanford.edu/Abstracts/180530.html

Support for the Stanford Colloquium on Computer Systems Seminar Series provided by the Stanford Computer Forum.

Colloquium on Computer Systems Seminar Series (EE380) presents the current research in design, implementation, analysis, and use of computer systems. Topics range from integrated circuits to operating systems and programming languages. It is free and open to the public, with new lectures each week.

Learn more: http://bit.ly/WinYX5

Stanford AI in Radiology overview 2018
Dr. Matthew Lungren
aimi.stanford.edu
@mattlungrenMD

http://stanford.io/1pkv9wv: Stanford University School of Engineering’s Fei-Fei Li, an associate professor of computer science, presents an exploration into the visual intelligence in computers during Stanford Engineering’s EngX: The Digital Sensory System conference.

In this talk, Professor Li provides an overview on computer vision and its history and shares some of her recent work to enable large-scale object recognition. More than half of the human brain is involved in visual processing. The remarkable human visual system evolved over billions of years, but computer vision is one of the youngest disciplines of Artificial Intelligence (AI).

Closing Keynote with California Governor Gavin Newsom – 2019 Human-Centered Artificial Intelligence Institute Symposium

The emergence of artificial intelligence has the potential to radically alter how we live our lives. This new era can bring us closer to our shared dream of creating a better future for all of humanity. It will also bring opportunities and challenges that we can’t yet foresee, requiring a true diversity of thought. Stanford HAI aims to become a global, inter-disciplinary hub for discussion and development of AI.

Stanford Human-Centered AI Institute
https://hai.stanford.edu
Musicbed SyncID: MB01YB2UHM9SKDC

CS547: Human-Computer Interaction Seminar
Human in the Loop Reinforcement Learning
Speaker: Emma Brunskill

Andrew Ng, Computer Science, Stanford U., CA

This lecture has been videocast from the Computer Science Department at Duke.

The abstract of this lecture and a brief speaker biography is available at: http://research.csc.ncsu.edu/colloquia/seminar-post.php?id=316

Data science holds the potential to impact our lives and how we work dramatically. Despite its promise, many questions about data science remain. How real is this emerging discipline? What opportunities and challenges does it present? How can Stanford nurture data science in research and education? Watch the video and hear some of Stanford’s thought leaders debate the answers to these questions.

Panel Speakers:
– Hector Garcia-Molina
– Vijay Pande
– John Hennessy
– Euan Ashley

Stanford’s YT Channel:
https://www.youtube.com/watch?v=hxXIJnjC_HI

(May 21, 2011) Andrew Ng (Stanford University) is building robots to improve the lives of millions. From autonomous helicopters to robotic perception, Ng’s research in machine learning and artificial intelligence could result one day in a robot that can clean your house.

STAN: Society, Technology, Art and Nature, was Stanford University’s prototype conferecne for TEDxStanford, and showcased some of the university’s top faculty, students, alumni and performers in an intense four-hour event laced with surprising appearances and memorable experiences. STAN, modeled after TED, explored big questions about society, technology, art and nature in a format that invites feedback and engagement.

Stanford University:
http://www.stanford.edu/

STAN 2011:
http://stan2011.stanford.edu

Andrew Ng:
http://ai.stanford.edu/~ang/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford