Fei-Fei Li

2021 AIMI Symposium is a virtual conference presented by the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI Center) on August 3, 2021. Website: https://aimi.stanford.edu Twitter: https://twitter.com/StanfordAIMI #StanfordAIMI #AIMI21 // Fei-Fei Li - Sequoia Professor, Computer Science Department, Denning Co-Director, Stanford Institute for Human-Centered Artificial Intelligence, Stanford

Dr. Fei Fei Li, the co-director of Stanford University's Human-Centered AI Institute, spoke with John Battelle on the Signal stage in 2021, about how AI will be designed and used in the future.

In October, during Amazon’s Machine Learning Conference (AMLC 2022) Fei-Fei Li, the inaugural Sequoia Professor in the Computer Science Department at Stanford University, and Co-Director of Stanford’s Human-Centered AI Institute, gave a keynote titled, "From Seeing to Doing: Understanding and Interacting with the Real World". Her talk discusses work in her lab that spans both perception and robotic learning, underscoring the importance of an "ecological approach to learning." Li previously served as the Director of Stanford’s AI Lab from 2013 to 2018. And during her sabbatical from Stanford from January 2017 to September 2018, she was Vice President at Google and served as Chief Scientist of AI/ML at Google Cloud. Dr. Fei-Fei Li obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. She also holds a Doctorate Degree (Honorary) from Harvey Mudd College. Li’s current research interests include cognitively inspired AI, machine learning, deep learning, computer vision and AI+healthcare especially ambient intelligent systems for healthcare delivery. In the past she has also worked on cognitive and computational neuroscience. Dr. Li has published more than 200 scientific articles in top-tier journals and conferences, including Nature, PNAS, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, ICRA, IROS, RSS, IJCV, IEEE-PAMI, New England Journal of Medicine, Nature Digital Medicine, etc. Dr. Li is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. In addition to her technical contributions, she is a national leading voice for advocating diversity in STEM and AI. She is co-founder and chairperson of the national non-profit AI4ALL aimed at increasing inclusion and diversity in AI education. Read more on Amazon Science: https://amzn.to/3vbL1YN Follow us: Website: https://www.amazon.science Twitter: https://twitter.com/AmazonScience Facebook: https://www.facebook.com/AmazonScie... Instagram: https://www.instagram.com/AmazonSci... LinkedIn: https://www.linkedin.com/showcase/A... Newsletter: https://www.amazon.science/newslett... #AmazonScience #MachineLearning

Fei-Fei Li is professor of computer science and co-director of the Stanford University Human-Centered AI Institute (HAI). A pioneering expert in AI, inventor of ImageNet, and thought leader, Dr. Li challenges us to be the stewards of technology to serve humanity at its broadest and most diverse extent. Dr. Li has also been recognized as a 2016 Global Thinker by Foreign Policy and formerly served as the vice president of AI and machine learning at Google Cloud. In this session, Dr. Li will discuss the transformative potential that AI and machine learning pose for society from her unique perspective as a scientist and an ethical leader who advocates for future technologies to incorporate an understanding of how to augment, not replace, elements of the human experience. Support contributed by: Elsevier

In this session (https://scl.ai/3EaRje9), Dr. Li shares how vision is critical for first perceiving the physical world and then interacting with it. She explores how recent advances in AI research help machines perceive the environment around them and then engages with it, to perform both short-horizon and long-horizon tasks. Executive summary: Teaching Robots To Perform Complex Tasks - https://scl.ai/3lu2lnn Full discussion transcript - https://scl.ai/3EaRje9 Bio: Dr. Fei-Fei Li is the Sequoia Professor of Computer Science at Stanford University and Denning Co-Director of the Stanford Institute for Human-Centered AI (HAI). Her research includes cognitively inspired AI, machine learning, deep learning, computer vision, and AI+healthcare. Before co-founding HAI, she served as Director of Stanford’s AI Lab. During her Stanford sabbatical from 2017 - 2018, Dr. Li was a Vice President at Google and Chief Scientist of AI/ML at Google Cloud. Join the leading AI community full of leaders, visionaries, practitioners, and researchers. Get full access to more discussions like this: https://exchange.scale.com/home

ImageNet has become one of the most influential visual datasets in the fields of Deep Learning and AI. More than 14 million photographs were gathered through a benchmarking effort that propelled the outbreak of Computer Vision and its wide range of applications such as surveillance, phone filters, medical imaging, biometry and autonomous cars. ImageNet is organised through 21,000 categories that are still being used today to train computational models. In September 2019, ImageNet creator Fei-Fei Li gave a talk at The Photographers' Gallery as part of a 10th anniversary of ImageNet party, talking through the events and key people that led to the datasets creation. The event also featured a series of activities and presentations to showcase the impact of ImageNet, including a discussion by Dr. Alan Blackwell and a performace on annotation by Nicolas Malevé. https://thephotographersgallery.org...

On April 12, 2022, the HAI Spring Conference convened academics, technologists, ethicists, and others to explore three key advances in artificial intelligence – accountable AI, foundation models, and embodied AI in virtual and real worlds. Welcome Fei-Fei Li: Sequoia Professor, Computer Science Department; Denning Co-Director, Stanford Institute for Human-Centered Artificial Intelligence Christopher Manning: Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science, Stanford University; Associate Director, Stanford Institute for Human-Centered Artificial Intelligence Session 1: Accountable AI Himabindu Lakkaraju: Assistant Professor, Harvard Business School and Department of Computer Science (affiliate), Harvard University Dawn Song: Professor, Department of Electrical Engineering and Computer Science, University of California, Berkeley Om Thakkar: Senior Research Scientist, Google Liz O'Sullivan: CEO, Parity Moderators: Fei-Fei Li and Christopher Manning Keynote Kavita Bala: Dean, Ann S. Bowers College of Computing and Information Science, Cornell University Session 2: Foundation Models Percy Liang: Director, Center for Research on Foundation Models, Associate Professor of Computer Science, Stanford University Sarah Bana: Stanford Digital Economy Lab Postdoctoral Fellow Cordelia Schmid: Research Director, Inria; Research Scientist, Google Ilya Sutskever: Co-Founder and Chief Scientist, OpenAI Rob Reich: Professor of Political Science, Faculty Director of the McCoy Family Center for Ethics in Society, and the Marc and Laura Andreessen Faculty Co-Director of the Stanford Center on Philanthropy and Civil Society; Associate Director, Stanford HAI Moderators: Fei-Fei Li and Christopher Manning Session 3: Physical/Simulated World Dieter Fox: Senior Director of Robotics Research, NVIDIA; Professor, Department of Computer Science and Engineering, University of Washington Angjoo Kanazawa: Assistant Professor, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley Gordon Wetzstein: Associate Professor of Electrical Engineering and, by courtesy, of Computer Science, Stanford University; Co-founder and Chief Scientist, Zinn Labs; Co-founder, Raxium Jiajun Wu: Assistant Professor of Computer Science, Stanford University Anna Lembke: Professor and Medical Director of Addiction Medicine, Stanford University School of Medicine Moderators: Fei-Fei Li and Christopher Manning Keynote: Bill Dally: Chief Scientist, NVIDIA Kunle Olukotun: Professor Electrical Engineering and Computer Science, Stanford University Closing Remarks Fei-Fei Li Christopher Manning Learn more about Stanford HAI events: https://hai.stanford.edu/events

A.I. has morphed from an academic niche to the leading differentiator in a wide range of industries, including manufacturing, health care, transportation and retail. Despite its name, there is nothing “artificial” about this technology — it is made by humans, intended to behave like humans and affects humans. Join the conversation with Fe-Fei Li, Co-Director of Stanford University's Human-Centered AI Institute and the Stanford Vision and Learning Lab, as she discusses how AI is changing and what it means for companies and humans. What You Will Learn • How AI has changed and what it means for our future? • Key principles of Human-Centered AI • Impact of AI in key industries including healthcare, manufacturing and education Dr. Fei-Fei Li is a Professor in the Computer Science Department at Stanford University, and Co-Director of Stanford’s upcoming Human-Centered AI Institute. She served as the Director of Stanford’s AI Lab from 2013 to 2018. Dr. Fei-Fei Li obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. She joined Stanford in 2009 as an assistant professor. Prior to that, she was on faculty at Princeton University (2007-2009) and University of Illinois Urbana- Champaign (2005-2006).

2022 Tanner Lecture on Artificial Intelligence and Human Values, Whitney Humanities Center Fei-Fei Li of Stanford University delivered the 2022 Tanner Lecture on Human Values and Artificial Intelligence this fall at the Whitney Humanities Center. The lecture, “What We See and What We Value: AI with a Human Perspective,” presents a series of AI projects—from work on ambient intelligence in healthcare to household robots—to examine the relationship between visual and artificial intelligence. Visual intelligence has been a cornerstone of animal intelligence; enabling machines to see is hence a critical step toward building intelligent machines. Yet developing algorithms that allow computers to see what humans see—and what they don’t see—raises important social and ethical questions. Dr. Fei-Fei Li is the Sequoia Professor of Computer Science at Stanford University and Denning Co-Director of the Stanford Institute for Human-Centered AI (HAI). During her 2017–2018 sabbatical, Dr. Li was a vice president at Google and chief scientist of Artificial Intelligence/Machine Learning at Google Cloud. She co-founded the national nonprofit AI4ALL, which trains K-12 students from underprivileged communities to become future leaders in AI. Dr. Li also serves on the National AI Research Resource Task Force commissioned by Congress and the White House and is an elected member of the National Academy of Engineering, the National Academy of Medicine, and the American Academy of Arts and Sciences. Dr. Fei-Fei Li’s talk is one of seven Tanner Lectures on Artificial Intelligence and Human Values, which is a special series of the Tanner Lectures on Human Values. The Tanner Lectures on Human Values are funded by an endowment received by the University of Utah from Obert Clark Tanner and Grace Adams Tanner. Established in 1976, the Tanner Lectures seek to advance and reflect upon scholarly and scientific learning relating to human values. The lectures, which are permanently sponsored at nine institutions, including Yale, are free and open to the public.

If AI is to serve the collective needs of humanity, how should machine intelligence be built and designed so that it can understand human language, feelings, intentions and behaviors, and interact with nuance and in multiple dimensions? Stanford University computer science professor Dr. Fei-Fei Li and Greylock general partner Reid Hoffman discuss the ethical considerations researchers, technologists and policymakers should make when developing and deploying AI. This episode was recorded as part of Greylock's Iconversations virtual speaker series. You can also find the podcast and transcript of this discussion here: greylock.com/greymatter/fei-fei…human-centered-ai/ Chapters 0:00 Introduction 1:46 The Goal For Human Centered AI 6:00 The Role of HAI in the Industry 10:46 Importance of Being Human Centered 13:49 Early Career 17:51 Role of Industry in AI 23:01 Model Safety and Reliability 30:08 Ethics and Society View 38:23 AI in Healthcare 44:17 Robotics in the Business World 49:43 Making America More Competitive in AI 52:52 Diversity in AI

Watch Tanner Lecturers, Fei-Fei Li and Eric Horvitz, discuss the topics of AI and Human Values.

Teaching Computers to See Dr. Fei-Fei Li is currently chief scientist of AI/ML at Google Cloud, associate professor in the computer science department at Stanford, and the director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab. SATURDAY, APRIL 15, 2017 | NICHOLS HALL | UPPER SCHOOL CAMPUS

Where did AI come from? Who created it, why, and where can it lead? Artificial intelligence (AI) is rapidly developing into a world-changer, affecting every industry and being used by hundreds of millions of people—even when they're unaware they're interacting with an artificial intelligence. And we're only at the early stages of AI's growth. Join us for an in-depth talk with Dr. Fei-Fei Li, whom Wired called "one of a tiny group of scientists―a group perhaps small enough to fit around a kitchen table―who are responsible for AI’s recent remarkable advances.” Dr. Li came to America as an immigrant, enduring a shift from Chinese middle class to American poverty. But a tough upbringing did not stop her from becoming a leading mind in the next big technological development. Fei-Fei’s adolescent knack for physics endured and positioned her to make a crucial contribution to the breakthrough we now call AI, placing her at the center of a global transformation. Over the last decades, her work has brought her face-to-face with the extraordinary possibilities―and the extraordinary dangers―of the technology she loves. Known as the creator of ImageNet, a key catalyst of modern artificial intelligence, Dr. Li has spent more than two decades at the forefront of the field. Her work has brought her face-to-face with the extraordinary possibilities―and the extraordinary dangers―of the technology she loves. Don't miss this opportunity to learn more about a breakthrough science and one of the breakthrough scientists who is making it happen. December 4, 2023 This program is part of our Good Lit series, underwritten by the Bernard Osher Foundation. Photo by Drew Kelly for the Stanford Institute for Human-Centered Artificial Intelligence Speakers Fei-Fei Li Ph.D., Computer Science Professor, Founding Director of the Stanford Institute for Human-Centered AI; Author, The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI; Twitter @drfeifei In Conversation with DJ Patil Ph.D., General Partner, GreatPoint Ventures; Former Chief Data Scientist, U.S. Office of Science and Technology; Member, Commonwealth Club World Affairs of California Board of Governors; X @dpatil 👉Join our Email List! https://www.commonwealthclub.org/em... 🎉 BECOME a MEMBER: https://www.commonwealthclub.org/me... The Commonwealth Club of California is the nation's oldest and largest public affairs forum 📣, bringing together its 20,000 members for more than 500 annual events on topics ranging across politics, culture, society and the economy. Founded in 1903 in San Francisco California 🌉, The Commonwealth Club has played host to a diverse and distinctive array of speakers, from Teddy Roosevelt in 1911 to Anthony Fauci in 2020. In addition to the videos🎥 shared here, the Club reaches millions of listeners through its podcast🎙 and weekly national radio program📻.

Learn about Accenture’s latest Tech Vision that explains how after years of exponential innovation, technology is becoming more human in its nature. The 2024 report, “Human by Design: How AI unleashes the next level of human potential” explores how we have reached an inflection point where technology evolution, seen most vividly through recent advances in generative AI, is ushering in an era of unprecedented human productivity and creativity. The result? A wave of reinvention that not only impacts every part of every business but also creates exponential value for enterprises and society. Hear from Paul Daugherty, Accenture Chief Technology and Innovation Officer, as he presents the four trends that are critical for organizations right now and how leaders must prepare. Paul is also joined by guests Dr. Fei Fei Li, Stanford Institute for Human-Centered AI; Will Beery, CIO Mars Snacking; and Mary Hamilton, Accenture Technology Innovation North America Lead. Find out how to lead the way in unleashing the next level of human potential: https://accntu.re/3vwfkgl Work at the heart of change. Explore Accenture careers: https://accntu.re/3SfKstv #TechVision2024 00:00 Intro to the 2024 Technology Trends. 02:50 Continuing exponential tech innovation. 05:20 Tech’s vast impact on humanity – and the rising power of large language models and Generative AI. 07:00 AI’s new era of human potential, capability and creativity. 09:00 AI’s impact on business. How do we get there? 10:00 2024 vision: Human by Design – how to enable the potential. 11:00 4 trends underlying the vision. 17:14 Dr. Fei Fei Li, Stanford Institute for Human-Centered AI and author 31:05 Will Beery, CIO Mars Snacking, on their use of AI technology. 36:30 Mary Hamilton, Accenture Technology Innovation North America Lead on dissolving the barrier between human and technology. 39:58 Business need to take a different view on how they reinvent.

“AI is no longer a science in the laboratories. It has become one of the biggest driving forces of the fourth industrial revolution. It will have a profound impact on how humans live, work, and shape our environment.” Dr. Fei-Fei Li speaks at the 2017 Grace Hopper Celebration (GHC 17) on the importance of algorithms in the fields of artificial intelligence and machine learning.

Earlier this year Andrew Ng sat down with Professor Fei-Fei Li to discuss the past and present state of Artificial Intelligence, and some of the "audacious questions" still to be answered. If you would like to get started in AI, the new Coursera Machine Learning Specialization developed by Stanford Online and DeepLearning.AI is the perfect place to start. Learn more 👉 https://stanford.io/3HEj56q 0:00 Introduction 1:23 Fei-Fei Li Background 8:40 Vision for AI 11:47 ImageNet 16:36 CalTech 101 Dataset 21:06 Fei-Fei's work in healthcare 27:39 Educating Legislators 32:10 Advice for people getting started in AI and Machine Learning 37:17 AI4ALL 40:55 Final Thoughts

AI is rapidly changing the speed and breadth of scientific discovery. In this discussion, Demis Hassabis, co-founder and CEO of DeepMind Technologies, shares his company's efforts in this space, followed by a conversation with Fei-Fei Li, Denning co-director of the Stanford Institute for Human-Centered Artificial Intelligence, on the future of AI. This event took place on April 18, 2023. To learn about upcoming events, visit: https://hai.stanford.edu/events

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).

With the current pandemic accelerating the revolution of AI in healthcare, where is the industry heading in the next 5-10 years? What are the key challenges and most exciting opportunities? These questions will be answered by HAI's Co-Director, Fei-Fei Li and the Founder of DeepLearning.AI, Andrew Ng in this fireside chat virtual event.  This event will be moderated by Curtis Langlotz, Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center). If you'd like to submit and upvote questions for our speakers, please register for the Q&A + General access ticket. Submit your questions through the Slido link in your order confirmation email.

This week marked the inaugural session of the Radical AI Founders Masterclass, featuring a dialogue between AI luminaries, Geoffrey Hinton and Fei-Fei Li. Held at the MaRS Discovery District auditorium in Toronto, the conversation was hosted by Jordan Jacobs, Managing Partner and Co-Founder of Radical Ventures, to delve into the profound ethical landscapes, societal shifts, and the transformative potential of AI.

The more human-like artificial intelligence becomes, the more we understand about how our brains actually work. Through that discovery process, researchers are identifying ways to design artificial intelligence in ways that factor in the safety and morality of their potential impact. Greylock general partner Reid Hoffman interviews Dr. Fei-Fei Li, the co-director of Stanford's Institute for Human-Centered AI, and Mira Murati, the CTO of OpenAI. In this interview, they discuss how technology like GPT-3 is being trained with human safety in mind, and how academia, industry, and policymakers are coming together to ensure AI is developed and deployed in ways that benefit all. This interview took place during Greylock's Intelligent Future event, a daylong summit featuring experts and entrepreneurs working in artificial intelligence. You can read the transcript from this interview here: https://greylock.com/greymatter/ais... Chapters 0:00 Introduction 1:00 Redefining a North Star 3:10 AI Paradigm 5:18 Creating Safety Norms 8:35 Human-Centered AI 11:45 Beyond the Model 15:07 AI Research Ethics 19:24 National Research Cloud 21:48 Amplify Human Creativity 27:17 Real World Effects 29:23 Innovation Versus Regulation

Fei-Fei Li, a professor of computer Science at Stanford University and chief scientist of AI/ML at Google Cloud, sits down with SIEPR Director Mark Duggan for a conversation about her experience immigrating to the U.S.

Allen School Distinguished Lecture Series Title: What we see and what we value: AI with a human perspective Speaker: Fei-Fei Li (Stanford University) Host: Ranjay Krishna Date: January 18, 2024 Abstract: One of the most ancient sensory functions, vision emerged in prehistoric animals more than 540 million years ago. Since then animals, empowered first by the ability to perceive the world, and then to move around and change the world, developed more and more sophisticated intelligence systems, culminating in human intelligence. Throughout this process, visual intelligence has been a cornerstone of animal intelligence. Enabling machines to see is hence a critical step toward building intelligent machines. In this talk, I will explore a series of projects with my students and collaborators, all aiming to develop intelligent visual machines using machine learning and deep learning methods. I begin by explaining how neuroscience and cognitive science inspired the development of algorithms that enabled computers to see what humans see. Then I discuss intriguing limitations of human visual attention and how we can develop computer algorithms and applications to help, in effect allowing computers to see what humans don't see. Yet this leads to important social and ethical considerations about what we do not want to see or do not want to be seen, inspiring work on privacy computing in computer vision, as well as the importance of addressing data bias in vision algorithms. Finally I address the tremendous potential and opportunity to develop smart cameras and robots that help people see or do what we want machines’ help seeing or doing, shifting the narrative from AI’s potential to replace people to AI's opportunity to help people. We present our work in ambient intelligence in healthcare as well as household robots as examples of AI's potential to augment human capabilities. Last but not least, the cumulative observations of developing AI from a human-centered perspective has led to the establishment of Stanford's Institute for Human-centered AI (HAI). I will showcase a small sample of interdisciplinary projects supported by HAI. Bio: Dr. Fei-Fei Li is the inaugural Sequoia Professor in the Computer Science Department at Stanford University, and Co-Director of Stanford’s Human-Centered AI Institute. She served as the Director of Stanford’s AI Lab from 2013 to 2018. And during her sabbatical from Stanford from January 2017 to September 2018, Dr. Li was Vice President at Google and served as Chief Scientist of AI/ML at Google Cloud. Since then she has served as a Board member or advisor in various public or private companies. Dr. Fei-Fei Li obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. She also holds a Doctorate Degree (Honorary) from Harvey Mudd College. Dr. Fei-Fei Li’s current research interests include cognitively inspired AI, machine learning, deep learning, computer vision, robotic learning, and AI+healthcare especially ambient intelligent systems for healthcare delivery. In the past she has also worked on cognitive and computational neuroscience. Dr. Li has published more than 300 scientific articles in top-tier journals and conferences in science, engineering and computer science. Dr. Li is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. In addition to her technical contributions, she is a national leading voice for advocating diversity in STEM and AI. She is co-founder and chairperson of the national non-profit AI4ALL aimed at increasing inclusion and diversity in AI education. Dr. Li is an elected Member of the National Academy of Engineering (NAE), the National Academy of Medicine (NAM) and American Academy of Arts and Sciences (AAAS). She is also a Fellow of ACM, a member of the Council on Foreign Relations (CFR), a recipient of the Intel Lifetime Achievements Award in 2023, a recipient of the 2022 IEEE PAMI Thomas Huang Memorial Prize, 2019 IEEE PAMI Longuet-Higgins Prize, 2019 National Geographic Society Further Award, IAPR 2016 J.K. Aggarwal Prize, the 2016 IEEE PAMI Mark Everingham Award, the 2016 nVidia Pioneer in AI Award, 2014 IBM Faculty Fellow Award, 2011 Alfred Sloan Faculty Award, 2009 NSF CAREER award, the 2006 Microsoft Research New Faculty Fellowship, among others. Dr. Fei-Fei Li is the author of the book "The Worlds I See: Curiosity, Exploration and Discovery at the Dawn of AI", published by Macmillan Publishers in 2023. This video is closed captioned.

Watch Yuval Noah Harari speak with Fei-Fei Li, renowned computer scientist and Co-Director of Stanford University's Human-Centered AI Institute -- in a conversation moderated by Nicholas Thompson, WIRED's Editor-in-Chief. The discussion explores big themes and ideas, including ethics in technology, hacking humans, free will, and how to avoid potential dystopian scenarios. Publication is available under Creative Commons, CC BY-NC-ND 4.0 - https://creativecommons.org/license... The event was hosted at Stanford in April 2019, and was jointly sponsored by the university's Humanities Center, McCoy Family Center for Ethics in Society, and the Stanford Institute for Human-Centered Artificial Intelligence (HAI).

In 2009, inspired by observing how humans learn, Dr. Li and her lab at Stanford released ImageNet, a large Internet-scale data set containing 12 million images. Many AI researchers at the time dismissed it as being too large and complex, but the AlexNet model in 2012 created from ImageNet proved them wrong. Today, large models have given way to ChatGPT and a renaissance in healthcare, robotics, education, and every aspect of humanity. Everyone seems to be rushing into AI and asking questions later. We’ll give you the info you need to get this right: https://sforce.co/4486KzY Chapters: 0:00 Introduction 1:15 The history of ImageNet 5:24 Neural network models before 2012 7:03 Why AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) 7:42 The state of multimodal models 9:16 Key use cases for different models 11:32 Tell us about your book “The Worlds I See” 14:55 Fei Fei Li’s research on Healthcare and AI 17:46 How computer vision is advancing robotics 19:27 AI copilots in the workforce 20:55 Government Oversight on Artificial Intelligence 22:04 The mission of the Human-Centered AI Institute 24:10 How should we educate our kids about an AI-driven world? 27:15 Three takeaways from Clara Shih #Salesforce #AskMoreofAI Subscribe to Salesforce’s YouTube Channel: http://bit.ly/SalesforceSubscribe Learn more about Salesforce: https://www.salesforce.com Facebook: https://www.facebook.com/salesforce Twitter: https://www.twitter.com/salesforce Instagram: https://www.instagram.com/salesforc... LinkedIn: https://www.linkedin.com/company/sa... About Salesforce: Salesforce is the customer company, helping businesses of every size and industry put the customer at the center since 1999. Salesforce helps companies connect with customers in a whole new way with a foundation of trust, harnessing AI + Data + CRM with Salesforce Customer 360, its complete portfolio of products that unites every team around the customer on one integrated, low code platform. Guided by core values and driven by a global community of Trailblazers transforming careers, companies and communities, Salesforce is more than a business — it’s a platform for change. Learn more at www.salesforce.com.