Podcasts about fei fei li

Loneliness is a public health crisis affecting people of all ages.This week on Possible, Reid and Aria sit down with someone using AI to bridge generational gaps and combat the loneliness epidemic.  Dana Griffin is co-founder and CEO of Eldera, a global platform using AI to foster intergenerational connections. Raised by her grandparents and mentored by older adults throughout her life, Dana is on a mission to help people see aging as an asset. Dana shares how Eldera uses AI to safely and meaningfully connect kids with older mentors, addressing loneliness, declining mental health, and lost wisdom. They explore how technology can support human connection—rather than replace it—along with what an "age-integrated society” could unlock.  For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/  Topics: 1:20 - Episode introduction 3:37 - Dana's early life and how it shaped her perspective on intergenerational bonds 6:09 - How ageism creates a waste of human potential 9:01 - Policy and tech solutions can help reintegrate older adults 12:11 - Social media worsens isolation, but AI can help foster real connection 14:31 - Eldera's mission of bridging generations through AI-powered mentorship 18:52 - Opposite backgrounds create stronger bonds when matching mentors and mentees 22:44 - Intergenerational mentorship as a form of healthcare 26:34 - Using AI to map and amplify generational knowledge 30:26 - Midroll ad break 30:35 - AI enhances, but never replaces, human connection 34:05 - Encouraging confidence among older adults through Eldera's wisdom portrait 37:26 - Scaling Eldera and working towards a society where we value the impact of elders 41:17 - The barriers and opportunities of scaling Eldera 44:34 - How cultural perspectives and global views on aging shape intergenerational ties 48:33 - Rapid fire Select mentions:  Fei-Fei Li on spatial intelligence and human-centered AI Possible is an award-winning podcast that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future. Hosted by Reid Hoffman and Aria Finger, each episode features an interview with an ambitious builder or deep thinker on a topic, from art to geopolitics and from healthcare to education. Each episode seeks to advance our discussion about what humanity could possibly get right if we leverage technology—and our collective effort—effectively.

Fei-Fei Li is a pioneering AI scientist breaking new ground in computer vision, a Stanford professor, and currently leading the innovative start-up World Labs. While her career is deeply rooted in technical expertise, Dr. Li's journey is driven by an insatiable curiosity. In this episode, Brad and Dr. Li reflect on poignant moments from her memoir, "The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI," highlighting the crucial role of keeping humanity at the center of AI development. They also explore how government-funded academic research, driven by curiosity rather than profits, can lead to unexpected and profound discoveries that propel innovation and economic opportunities.Click here for the episode transcript.

How can we use AI to amplify human potential and build a better future? And what exactly does “AGI” even mean?  To kick off Possible's fourth season, Reid and Aria sit down with world-renowned computer scientist Fei-Fei Li, whose work in artificial intelligence over the past several decades has earned her the nickname “the godmother of AI.” An entrepreneur and professor, Fei-Fei shares her journey from creating ImageNet, a massive dataset of labeled images that revolutionized computer vision, to her current role as co-founder and CEO of the spatial intelligence startup World Labs. She explains why spatial intelligence—the ability to perceive and interact with the 3D world—is so crucial for AI's development and how it could lead to breakthroughs in fields like medicine, climate, and education. They get into regulatory guardrails, governance, and what it will take to build a positive, human-centered AI future for all.  For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/  Topics: 1:55 - Hellos and intros 3:43 - ImageNet and the interplay between data and models 6:06 - World Labs and spatial intelligence  10:03 - Boundaries between 3D physical and digital worlds 11:50 - The difference between LLMs and LWMs  13:02 - What humans are capable of creating with technology  14:04 - Key principles of AI: human agency and respect  17:16 - Stanford Institute for Human-Centered AI  19:13 - What this moment in AI means for humanity  21:06 - Cross-sector collaboration   25:10 - AI4ALL program and the importance of diversity in AI development 27:00 - Midroll ad break 27:09 - Using AI to improve healthcare delivery and treatment 30:20 - Founding history of AI and the meaning of the term “AGI” 33:00 - Future of agentic AI and voice  34:42 - Fei-Fei's mentor and his advice 37:18 - Rapid-fire questions Possible is an award-winning podcast that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future. Hosted by Reid Hoffman and Aria Finger, each episode features an interview with an ambitious builder or deep thinker on a topic, from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Whether it's Inflection's Pi, OpenAI's ChatGPT or other AI tools, each episode will use AI to enhance and advance our discussion about what humanity could possibly get right if we leverage technology—and our collective effort—effectively.

W pierwszym odcinku 2025 r. i zarazem pierwszej w tym roku "Bibliotece" omawiamy książki o sztucznej inteligencji, które ukazały się w Polsce jeszcze w 2024 roku i które są niezłym podsumowaniem ostatnich 12 miesięcy i zarazem punktem wyjścia do tego, jak AI będzie się dalej rozwijać, zmieniać świat i człowieka. Dziś wybrałyśmy trzy książki od niezwykle ciekawych postaci świata nauki: - "Moje światy sztuczne i realne. Jak narodziła się AI najnowszej generacji" Fei-Fei Li, przekład Wojciech Pędzich, konsultacja merytoryczna dr Łukasz Chomątek, Wydawnictwo Prześwity - "Osobliwość coraz bliżej. Kiedy połączymy się z AI" Ray Kurzwei, tłumaczenie Tomasz Lanczewski, wyd. Grupa Wydawnicza Relacja - "Przenikanie umysłów", Aleksandra Przegalińska, Tamilla Triantoro, Tłumaczenie: model GPT "Tłumacz angielsko-polski. AI english->polish->en" (GPT-4), model Claude (3.5 Sonnet), Wydawnictwo AI Books by Campus AI Na skróty: 02:45 Książka Fei Fei Li, naukowczyni znanej z nacisku na rolę człowieka w tworzeniu AI i ze skandalu z jej udziałem, gdy pracowała w Google. 26:30 Książka Raymonda Kurzweila, który jest najbardziej znanym propagatorem idei transhumanizmu i twórcą terminu "osobliwości technologicznej". 41:51 Książka duetu Aleksandra Przegalińskiej - czyli najbardziej rozpoznawalnej polskiej naukowczyni specjalizującej się w AI - i Tamilli Triantoro, badaczki specjalizującej się w analizach współpracy człowieka z AI. Odcinki "Techstorii", o których wspominamy: Odc. 39 o transhumanizmie https://open.spotify.com/episode/40FqO5C7Q960mTLn7pzume Odc. 42 o tym, kto jest kim w świecie AI https://open.spotify.com/episode/1m8g2iHtME0PbI7l7puN3s Odc. 71 o tym, jak drony i AI są stosowane na wojnie https://open.spotify.com/episode/0lcvOja7KXVDXSl2t7rw5B

As we wind down 2024, the This is Working team is starting to dream big for 2025. Of course that means we have AI on our minds. And we're not alone. AI has more than one spot on LinkedIn's recent Big Ideas list. Who better to learn from than Fei-Fei Li, AI pioneer? Dr. Li is an AI researcher and professor at Stanford University and serves as Co-Director of Stanford's Human-Centered AI Institute. In this conversation with LinkedIn Editor in Chief Daniel Roth, Dr. Li shares her vision for a collaborative future with our advancing artificial intelligence. To meet 2025 head on, subscribe to Dan's This is Working newsletter. You'll get top takeaways from today's leaders, direct to your inbox.

- GS. Fei-Fei Li (Đại học Stanford, Mỹ) là một trong 5 nhà khoa học được vinh danh Giải thưởng Chính VinFuture 2024 trị giá 3 triệu USD vì những đóng góp đột phá để thúc đẩy sự tiến bộ của học sâu. Bà là người đã tạo ra tập dữ liệu ImageNet giúp thúc đẩy sự tiến bộ trong hệ thống nhận diện hình ảnh, giúp huấn luyện các mô hình học sâu ở quy mô lớn. Trong Chuyện đêm hôm nay, chúng tôi mời quý vị và các bạn cùng trò chuyện với nhà khoa học người Mỹ được mệnh danh là “mẹ đỡ đầu” của AI, nổi tiếng với đóng góp đột phá trong lĩnh vực thị giác máy tính. Chủ đề : GS Fei Fei Li, ĐH Stanford, Mỹ, nghiên cứu AI, Việt Nam phát triển AI --- Support this podcast: https://podcasters.spotify.com/pod/show/vov1sukien/support

Fei Fei Li (The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI) is a computer scientist, co-director of the Stanford Institute for Human-Centered Artificial Intelligence, and is considered by many to be the godmother of AI. Fei Fei joins the Armchair Expert to discuss her initial reluctance to tell her personal story as a part of her book on AI, starting a laundromat with her parents to support themselves, and the high school teacher that changed the course of her life. Fei Fei and Dax talk about how math is the closest thing there is to magic, why being fearlessly stupid is sometimes the best asset you can have, and the reason her north star is asking the audacious question. Fei Fei explains her perspective on the tech-lash, why there is so much humanness in everything we do in technology, and how essential it is to put dignity into how we both create and govern AI.Follow Armchair Expert on the Wondery App or wherever you get your podcasts. Watch new content on YouTube or listen to Armchair Expert early and ad-free by joining Wondery+ in the Wondery App, Apple Podcasts, or Spotify. Start your free trial by visiting wondery.com/links/armchair-expert-with-dax-shepard/ now.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

El primer episodio se titula Lo que la IA puede hacer por nosotros/a nosotros, y la dualidad del título es indicativa de dónde nos encontramos con la inteligencia artificial en 2024. Gates, así como los productores del programa Morgan Neville y Caitrin Rogers son los productores ejecutivos principales del programa hablan con varias personas involucradas en el desarrollo de software de IA, como el fundador de OpenAI, Greg Brockman. También hablan con expertos que estudian la tecnología, como el Dr. Fei-Fei Li de la Universidad de Stanford. Kevin Roose, un reportero de tecnología de The New York Times, es entrevistado sobre la historia que escribió cuando el chatbot de IA de Bing le dijo que quería estar vivo y que debía dejar a su esposa.

Well well well, December is finally here, we're about to close out this year (and have just flew by the second anniversary of chatGPT

As they continue to investigate and resolve a growing caseload of hundreds of reports from current and former government officials about encounters with unidentified anomalous phenomena (UAP), personnel in the Pentagon's All-Domain Anomaly Resolution Office (AARO) are also launching new projects and resources to declassify materials, promote transparency and enhance collection capabilities. The office's new director Jon Kosloski detailed those and other updates during an off-camera press briefing at the Pentagon on Thursday, marking his first open engagement with reporters in this capacity since he assumed the role in August. Kosloski told reporters the office has has taken meaningful steps to improve data collection and retention, bolster sensor development, effectively triage UAP reports and reduce the stigma of reporting a UAP event. Homeland Security Secretary Alejandro Mayorkas said Thursday that he hopes the Trump administration would maintain the agency's AI Safety and Security Board, which was formed in April and includes corporate and civil society leaders focused on artificial intelligence. The board's roster currently includes OpenAI CEO Sam Altman, Anthropic CEO Dario , leading AI researcher Fei-Fei Li, and Office of Science and Technology Policy Director Arati Prabhakar, among many others. DHS and the board on Thursday released what the department is calling a groundbreaking new framework focused on technology and critical infrastructure. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

Artificial Intelligence (AI) has changed dramatically in recent years. Today, AI is improving many industries and changing how we live. AI is now a key part of our future, making our lives easier and more efficient. But what is it that we need to look out for? What are some necessary measures to be taken to ensure a smooth and safe adoption of this technology? Watch this episode to learn about the past, present and future of AI. Your host, Mukesh Bansal, not only takes us through the journey of AI but also advices on how to navigate through this technological era. Resource List - More about Physics Nobel Prize - https://www.nobelprize.org/prizes/physics/2024/press-release/ More about Chemistry Nobel Prize - https://www.nobelprize.org/prizes/chemistry/2024/press-release/ More on Research behind Chemistry Nobel Prize Winners - https://youtu.be/KMfgV2QSlns?feature=shared Video by Deepmind on AlphaFold Server Demo - https://youtu.be/9ufplEgtq8w?feature=shared More on the first AI conference - https://home.dartmouth.edu/about/artificial-intelligence-ai-coined-dartmouth Watch the Chess Match between IBM Deep Blue v/s Garry Kasparov - https://youtu.be/KF6sLCeBj0s?feature=shared Watch IBM Watson on Jeopardy! - https://youtu.be/lI-M7O_bRNg?feature=shared 3Blue1Brown YouTube Channel - https://www.youtube.com/@3blue1brown Books from the episode: Perceptrons by Minsky - https://amzn.in/d/c8xn3Fh Genius Makers by Cade Metz - https://amzn.in/d/3pbTV1R The Master Algorithm by Pedro Domingos - https://amzn.in/d/14AiL3F Super Intelligence by Nick Bostrom - https://amzn.in/d/9hhq4td The Worlds I See by Dr. Fei-Fei Li - https://amzn.in/d/0iaga3Y Why Machines Learn by Anil Ananthaswamy - https://amzn.in/d/iiYC45X

World models, also known as world simulators, are being touted by some as the next big thing in AI. AI pioneer Fei-Fei Li's World Labs has raised $230 million to build “large world models,” and DeepMind hired one of the creators of OpenAI's video generator, Sora, to work on “world simulators.” Learn more about your ad choices. Visit podcastchoices.com/adchoices

LLega a RCN Radio Ochentera, la primera emisora de América Latina que se realiza 100% con inteligencia artifical.La emisora es creada y operada por Inteligencia Artificial, trayendo de vuelta la cultura pop de los años 80. Esta innovadora estación estará dirigida por Valeria Moon (@valeriamonndj), una DJ e influenciadora creada también con IA, experta en la música anglo de la época y amante de losinolvidables hits que definieron esta década dorada.Hablamos de los nuevo de Apple y  la madrina de la IA Fei-fei-Li

Episode 27: How is AI revolutionizing productivity for marketers? Matt Wolfe (https://x.com/mreflow) and Nathan Lands (https://x.com/NathanLands) are joined by Zeynep Ozdemir (https://www.linkedin.com/in/zeynep-inanoglu-ozdemir-phd-962a5035/), the Chief Marketing Officer of Atlassian, who brings a unique blend of AI expertise and marketing experience. In this episode, we explore Zeynep's fascinating journey from engineering and speech synthesis to her pivotal role in marketing. The discussion delves into how AI is transforming marketing strategies, creating a partnership between human creativity and AI capabilities, and making marketers significantly more productive. With insights from Atlassian's cutting-edge AI applications and detailed survey data on AI usage in marketing, this conversation is packed with actionable takeaways for embracing AI in your workflow. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) Machine learning training is now much faster than before. (05:30) AI as creative partner enhances content creation. (10:17) Exploring AI's impact on productivity, creativity, research. (13:33) AI boosts creativity and efficiency in marketing. (16:28) Seamless AI integration in content creation workflow. (18:40) Expert on dynamic customer data and interactions. (21:37) Personalized AI marketing and visual content generation. (25:35) Thanks, Zeynep, for the fascinating conversation. — Mentions: Zeynep Ozdemir: https://events.atlassian.com/unleash/speaker/993189/zeynep-inanoglu-ozdemir  Atlassian: https://www.atlassian.com/ Fei Fei Li: https://profiles.stanford.edu/fei-fei-li — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Send us a textIn this milestone 50th episode of Sidecar Sync, hosts Amith Mallory celebrate the show's journey while diving into exciting new developments. They explore the enhanced AI Learning Hub 2.0, which now includes a professional certification, and discuss the importance of continuous AI education for associations. Plus, they introduce spatial intelligence, a game-changing area in AI, and share insights from Fei-Fei Li's groundbreaking work. Tune in for a fascinating look at the future of AI in the association world, and join the celebration of 50 episodes!

Fei-Fei Li and Justin Johnson are pioneers in AI. While the world has only recently witnessed a surge in consumer AI, our guests have long been laying the groundwork for innovations that are transforming industries today.In this episode, a16z General Partner Martin Casado joins Fei-Fei and Justin to explore the journey from early AI winters to the rise of deep learning and the rapid expansion of multimodal AI. From foundational advancements like ImageNet to the cutting-edge realm of spatial intelligence, Fei-Fei and Justin share the breakthroughs that have shaped the AI landscape and reveal what's next for innovation at World Labs.If you're curious about how AI is evolving beyond language models and into a new realm of 3D, generative worlds, this episode is a must-listen.Resources: Learn more about World Labs: https://www.worldlabs.aiFind Fei-Fei on Twitter: https://x.com/drfeifeiFind Justin on Twitter: https://x.com/jcjohnss Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://twitter.com/stephsmithioPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

AI researcher Jim Fan has had a charmed career. He was OpenAI's first intern before he did his PhD at Stanford with “godmother of AI,” Fei-Fei Li. He graduated into a research scientist position at Nvidia and now leads its Embodied AI “GEAR” group. The lab's current work spans foundation models for humanoid robots to agents for virtual worlds. Jim describes a three-pronged data strategy for robotics, combining internet-scale data, simulation data and real world robot data. He believes that in the next few years it will be possible to create a “foundation agent” that can generalize across skills, embodiments and realities—both physical and virtual. He also supports Jensen Huang's idea that “Everything that moves will eventually be autonomous.” Hosted by: Stephanie Zhan and Sonya Huang, Sequoia Capital Mentioned in this episode: World of Bits: Early OpenAI project Jim worked on as an intern with Andrej Karpathy. Part of a bigger initiative called Universe Fei-Fei Li: Jim's PhD advisor at Stanford who founded the ImageNet project in 2010 that revolutionized the field of visual recognition, led the Stanford Vision Lab and just launched her own AI startup, World Labs Project GR00T: Nvidia's “moonshot effort” at a robotic foundation model, premiered at this year's GTC Thinking Fast and Slow: Influential book by Daniel Kahneman that popularized some of his teaching from behavioral economics Jetson Orin chip: The dedicated series of edge computing chips Nvidia is developing to power Project GR00T Eureka: Project by Jim's team that trained a five finger robot hand to do pen spinning MineDojo: A project Jim did when he first got to Nvidia that developed a platform for general purpose agents in the game of Minecraft. Won NeurIPS 2022 Outstanding Paper Award ADI: artificial dog intelligence Mamba: Selective State Space Models, an alternative architecture to Transformers that Jim is interested in (original paper here) 00:00 Introduction 01:35 Jim's journey to embodied intelligence 04:53 The GEAR Group 07:32 Three kinds of data for robotics 10:32 A GPT-3 moment for robotics 16:05 Choosing the humanoid robot form factor 19:37 Specialized generalists 21:59 GR00T gets its own chip 23:35 Eureka and Issac Sim 25:23 Why now for robotics? 28:53 Exploring virtual worlds 36:28 Implications for games 39:13 Is the virtual world in service of the physical world? 42:10 Alternative architectures to Transformers 44:15 Lightning round

Reid reflects on his early exposure to AI as an undergraduate at Stanford and on navigating the space between academia and industry. Plus, he and Aria discuss human outcomes of technology—and how human-centered technologists such as Fei-Fei Li, Mustafa Suleyman, and Kevin Scott have helped him keep those outcomes top of mind. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/

Fareed examines two emerging technologies that are already changing life as we know it—CRISPR gene editing and artificial intelligence—in interviews with two women who pioneered them: UC Berkeley's Jennifer Doudna and Stanford's Fei-Fei Li. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Dr. Fei-Fei Li is one of the most important scientists of our time. Her book, The Worlds I See, chronicles her pioneering efforts in Artificial Intelligence. Does AI scare you? Us too. But read this book and listen to this episode. The book is not just the compelling story of Dr. Li herself, who immigrated as a girl speaking no English but who understands physics like Michael Jordan plays basketball. She is now a worldwide authority on AI and its development. Second, if you are scared of AI, this book explains it and the issues surrounding it both with beauty and with hope. She believes AI is the next step in our evolution, but that it MUST be rooted in humanity. What does that mean? Tune in and find out. Books mentioned in this week's episode: The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI by Dr. Fei-Fei Li Harry Potter and the Philosopher's Stone by J.K. Rowling Learn more about your ad choices. Visit megaphone.fm/adchoices

Guest host Duncan McCue is joined by Toluse Olorunnipa, Molly Ball and, Keith Boag to unpack the latest on Kamala Harris' election campaign ahead of the democratic national convention, science writer Amorina Kingdon explains the effect of human activity on the natural marine soundscape, Jennifer Welsh, and Arif Lalani, discuss the latest developments in the conflicts in the Middle East and Ukraine, and 'Godmother of AI' Fei Fei Li reflects on her groundbreaking work.Discover more at https://www.cbc.ca/sunda

Meta Unveils New AI Model That Rivals Google and OpenAI Models Artie Intel and Micheline Learning report on Artificial Intelligence for The AI Report. Elon Musk Will ‘Discuss' Tesla Investing $5B Into xAI. Fei-Fei Li’s Mysterious AI Startup World Labs Achieves Unicorn Status in Record Time. Google has recently faced criticism and backlash over its latest Olympics advertisement, which allegedly features questionable use of artificial intelligence (AI).

Dampz, Nils www.deutschlandfunkkultur.de, Studio 9

Join hosts Cathy Hackl and Lee Kebler on the latest episode of the TechMagic podcast as they explore what's hot and happening in tech, innovation, AI, and spatial computing. Cathy shares her experience of attending the Christie's Art and Tech Summit, where she was one of the keynote speakers on spatial computing. Cathy and Lee discuss the recent news about Dr. Fei Fei Li raising significant money for her startup focused on spatial intelligence. They discuss how Apple was allegedly found to have used YouTube content without consent in their AI models and the need for a legal reckoning in data usage and fair use standards. Cathy and Lee discuss the formation of a union by employees at Bethesda Game Studios and the potential implications for the gaming industry. The episode also includes a sneak preview of an exclusive interview with Matthew Ball. The full interview will be featured in the next episode.Come for the Tech, stay for the Magic!Cathy Hackl BioCathy Hackl is a globally recognized tech & gaming executive, futurist, and speaker focused on spatial computing, virtual worlds, augmented reality, AI, strategic foresight, and gaming platforms strategy. She's one of the top tech voices on LinkedIn and is the CEO of Spatial Dynamics, a spatial computing and AI solutions company, including gaming. Cathy has worked at Amazon Web Services (AWS), Magic Leap, and HTC VIVE and has advised companies like Nike, Ralph Lauren, Walmart, Louis Vuitton, and Clinique on their emerging tech and gaming journeys. She has spoken at Harvard Business School, MIT, SXSW, Comic-Con, WEF Annual Meeting in Davos 2023, CES, MWC, Vogue's Forces of Fashion, and more. Cathy Hackl on LinkedInSpatial Dynamics on LinkedInLee Kebler BioLee has been at the forefront of blending technology and entertainment since 2003, creating advanced studios for icons like will.i.am and producing music for Britney Spears and Big & Rich. Pioneering in VR since 2016, he has managed enterprise data at Nike, led VR broadcasting for Intel at the Japan 2020 Olympics, and driven large-scale marketing campaigns for Walmart, Levi's, and Nasdaq. A TEDx speaker on enterprise VR, Lee is currently authoring a book on generative AI and delving into splinternet theory and data privacy as new tech laws unfold across the US.Lee Kebler on LinkedIn Hosted on Acast. See acast.com/privacy for more information.

Fei-Fei Li, former Chief Investment Officer at Research Affiliates and current CIO at Kavout Algo Financial, shares insights from her extensive background in finance. She discusses her tenure at Research Affiliates, where she led research and strategy design for the firm's systematic active strategies and smart beta indices. The conversation then pivots to her current role at Kavout Algo Financial, where she is spearheading the development of an AI tool aimed at revolutionizing the investment research process. Feifei provides a fascinating look at the intersection of AI and fintech, and what it means for the future of investment research. Feifei also shared insights from her recent Financial Analyst Journal article with Robert Arnott and Juhani Linnainmaa, “Smart Rebalancing,” which explores strategies to reduce trading costs while maintaining portfolio efficacy.

We meet Dr. Fei-Fei Li In the latest installment of our oral history project. She's a Chinese-American computer scientist and the creator of ImageNet - the dataset that made rapid advances possible in this field of AI that helps computers take meaningful information from things like photos and videos.We Meet: Stanford University's Fei-Fei Li, author of "The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI"Credits:This episode of SHIFT was produced by Jennifer Strong with help from Emma Cillekens. It was mixed by Garret Lang, with original music from him and Jacob Gorski. Art by Anthony Green.

In this episode, Matt Beane - How to Save Human Ability in the Age of Intelligent Machines - The Skills Code, Lauren Hawker Zafer is joined by Matt Beane. Lauren and Matt shape an accessible conversation around the future of work and what it means to be human in a world of intelligent machines. Who is Matt Beane? Matt Beane does field research on work involving robots and AI to uncover systematic positive exceptions that we can use across the broader world of work. His award-winning research has been published in top management journals such as Administrative Science Quarterly and Harvard Business Review, and he graced the TED stage. He also took a two-year hiatus from his PhD at MIT's Sloan School of Management to help found and fund Humatics, a full-stack IoT startup. In 2012 he was selected as a Human-Robot Interaction Pioneer, and in 2021 was named to the Thinkers50 Radar list. Beane is an assistant professor in the Technology Management department at the University of California, Santa Barbara, and a Digital Fellow with Stanford's Digital Economy Lab and MIT's Initiative on the Digital Economy. When he's not studying intelligent technologies and learning, he enjoys playing guitar; his morning coffee ritual with his wife, Kristen; and reading science fiction. “If you're worried about your skills becoming obsolete, this book may be your saving grace. Matt Beane has spent his career studying how to gain and maintain expertise as technology evolves, and his analysis is both engrossing and edifying.” —Adam Grant, #1 New York Times bestselling author of Hidden Potential and Think Again, and host of the TED podcast WorkLife “Beane shows us the true human-centered approach to AI advancements and how we must act now to achieve the next generation of human skills coupled with the productivity gains from AI.” —Fei Fei Li, Sequoia Professor of Computer Science, Founding, Director of Stanford Institute for Human-centered AI (HAI), Stanford University #ai #redefiningai #techpodcast #squirro

Season Three - Spotlight Eleven Our Eleventh spotlight of this season is a snippet of our upcoming episode: Matt Beane - How to Save Human Ability in an Age of Machine Intelligence. Join host Lauren Hawker Zafer as she engages with Matt Beane. Don't miss this unique redefining what in means to develop skill in the age of machine intelligence. Who is Matt Beane? Matt Beane does field research on work involving robots and AI to uncover systematic positive exceptions that we can use across the broader world of work. His award-winning research has been published in top management journals such as Administrative Science Quarterly and Harvard Business Review, and he graced the TED stage. He also took a two-year hiatus from his PhD at MIT's Sloan School of Management to help found and fund Humatics, a full-stack IoT startup. In 2012 he was selected as a Human-Robot Interaction Pioneer, and in 2021 was named to the Thinkers50 Radar list. Beane is an assistant professor in the Technology Management department at the University of California, Santa Barbara, and a Digital Fellow with Stanford's Digital Economy Lab and MIT's Initiative on the Digital Economy. When he's not studying intelligent technologies and learning, he enjoys playing guitar; his morning coffee ritual with his wife, Kristen; and reading science fiction. “If you're worried about your skills becoming obsolete, this book may be your saving grace. Matt Beane has spent his career studying how to gain and maintain expertise as technology evolves, and his analysis is both engrossing and edifying.” —Adam Grant, #1 New York Times bestselling author of Hidden Potential and Think Again, and host of the TED podcast WorkLife “Beane shows us the true human-centered approach to AI advancements and how we must act now to achieve the next generation of human skills coupled with the productivity gains from AI.” —Fei Fei Li, Sequoia Professor of Computer Science, Founding, Director of Stanford Institute for Human-centered AI (HAI), Stanford University #ai #redefiningai #techpodcast #squirro

With graduation season in full swing, we've got a special episode of This is Working featuring a compilation of our favorite, actionable career advice from guests: Barack Obama, former PepsiCo CEO Indra Nooyi, Giant Spoon co-founder Jon Haber, Mercedes AMG Petronas F1 Team CEO Toto Wolff, Girls Who Code CEO Tarika Barrett, iHeartMedia CEO Bob Pittman, Today Show co-host Al Roker, Property Brothers Drew & Jonathan Scott, AI pioneer Fei-Fei Li and research professor and author Brené Brown. Pass this episode along to the recent grads in your life and follow these leaders on LinkedIn for more great insights! Share your comments via email at ThisisWorking@linkedin.com, or join the conversation directly on LinkedIn using the hashtag #ThisisWorking. Follow Dan Roth, and LinkedIn News on LinkedIn. Subscribe to our This is Working newsletter – you'll get our next leadership insights delivered right to your inbox.

In the beginning of the universe, all was darkness — until the first organisms developed sight, which ushered in an explosion of life, learning and progress. AI pioneer Fei-Fei Li says a similar moment is about to happen for computers and robots. She shows how machines are gaining "spatial intelligence" — the ability to process visual data, make predictions and act upon those predictions — and shares how this could enable AI to interact with humans in the real world.

In the beginning of the universe, all was darkness — until the first organisms developed sight, which ushered in an explosion of life, learning and progress. AI pioneer Fei-Fei Li says a similar moment is about to happen for computers and robots. She shows how machines are gaining "spatial intelligence" — the ability to process visual data, make predictions and act upon those predictions — and shares how this could enable AI to interact with humans in the real world.

In the beginning of the universe, all was darkness — until the first organisms developed sight, which ushered in an explosion of life, learning and progress. AI pioneer Fei-Fei Li says a similar moment is about to happen for computers and robots. She shows how machines are gaining "spatial intelligence" — the ability to process visual data, make predictions and act upon those predictions — and shares how this could enable AI to interact with humans in the real world.

Fei-Fei Li is widely known as the godmother of AI, thanks to her groundbreaking research in the field. You can draw a straight line from her early work to the generative AI of today. Now, she's at the forefront of what comes next, which includes bringing together generative AI and robotics for use across industries. Niala visited Dr. Li's lab at Stanford last week and spoke with her about the very latest applications of AI, and what's at stake in their development. Guests: Dr. Fei-Fei Li, professor in the Computer Science Department at Stanford University and co-director of Stanford's Human-Centered AI Institute; Ryan Heath, Axios global tech correspondent and co-author of Axios AI+ Credits: 1 big thing is produced by Niala Boodhoo, Alexandra Botti, and Jay Cowit. Music is composed by Alex Sugiura and Jay Cowit. You can reach us at podcasts@axios.com. You can send questions, comments and story ideas as a text or voice memo to Niala at 202-918-4893. Learn more about your ad choices. Visit megaphone.fm/adchoices

At 15, Fei-Fei Li transitioned from a middle-class life in China to poverty in America. Despite the pressures of her family's financial situation and her mother's ailing health, her knack for physics never wavered. She went from learning English as a second language to attending and working at prestigious institutions like Princeton and Stanford. Today, she is among a handful of scientists behind the impressive advances of artificial intelligence in recent times. In this episode, she breaks down her human-centered approach to AI and explores the future of the technology. Dr. Fei-Fei Li is a professor of Computer Science at Stanford University and the co-director of the Stanford Institute for Human-Centered AI. She is the creator of ImageNet, a key driver of modern artificial intelligence. With over 20 years at the forefront of the field, Dr. Li is focused on AI research, education, and policy to improve the human condition.    In this episode, Hala and Fei-Fei will discuss: - The current capabilities of AI - The difference between machine learning and AI - The training process for AI models - The gaps in our knowledge about how AI learns - Why ChatGPT fails at higher-level reasoning like math - The biological inspiration for vision in computers - Fears and hopes associated with AI - The human element of jobs AI can't replace - Augmentation of human capabilities through AI - The three pillars of her human-centered AI framework - Responsible development and use of AI - The roadblocks to be aware of when using AI - Her advice to young entrepreneurs navigating the AI world  - And other topics…   Dr. Fei-Fei Li is a professor of Computer Science at Stanford University and the co-director of the Stanford Institute for Human-Centered AI. She is also the creator of ImageNet and the ImageNet Challenge, a key catalyst to the latest developments in deep learning and AI. Sometimes called the ‘Godmother of AI,' she is a pioneer in early computer vision research. Dr. Li is the author of The Worlds I See, one of Barack Obama's recommended books on AI. Her work has been featured in various publications, including the New York Times, Wall Street Journal, Fortune Magazine, Science, and Wired Magazine.  Connect with Fei-Fei: Fei-Fei's Bio: https://profiles.stanford.edu/fei-fei-li  Fei-Fei's LinkedIn: https://www.linkedin.com/in/fei-fei-li-4541247/  Fei-Fei's Twitter: https://twitter.com/drfeifei  Resources Mentioned: Fei-Fei's Book, The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI: https://www.amazon.com/Worlds-See-Curiosity-Exploration-Discovery-ebook/dp/B0BPQSLVL6   Stanford Human Center AI Institute Website: https://hai.stanford.edu/  LinkedIn Secrets Masterclass, Have Job Security For Life: Use code ‘podcast' for 30% off at yapmedia.io/course. Sponsored By: Shopify - Sign up for a one-dollar-per-month trial period at youngandprofiting.co/shopify Indeed - Get a $75 job credit at indeed.com/profiting Yahoo Finance - For comprehensive financial news and analysis, visit YahooFinance.com More About Young and Profiting Download Transcripts - youngandprofiting.com Get Sponsorship Deals - youngandprofiting.com/sponsorships Leave a Review - ratethispodcast.com/yap Watch Videos - youtube.com/c/YoungandProfiting   Follow Hala Taha LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ TikTok - tiktok.com/@yapwithhala Twitter - twitter.com/yapwithhala   Learn more about YAP Media's Services - yapmedia.io/

John Etchemendy and Fei-Fei Li are the codirectors of Stanford's Institute for Human-Centered Artificial Intelligence (HAI), founded in 2019 to “advance AI research, education, policy and practice to improve the human condition.” In this interview, they delve into the origins of the technology, its promise, and its potential threats. They also discuss what AI should be used for, where it should not be deployed, and why we as a society should—cautiously—embrace it.

OpenAI and Microsoft are leaders in generative artificial intelligence (AI). OpenAI has built GPT-4, one of the world's most sophisticated large language models (LLMs) and Microsoft is injecting those algorithms into its products, from Word to Windows. At the World Economic Forum in Davos last week, Zanny Minton Beddoes, The Economist's editor-in-chief, interviewed Sam Altman and Satya Nadella, who run OpenAI and Microsoft respectively. They explained their vision for humanity's future with AI and addressed some thorny questions looming over the field, such as how AI that is better than humans at doing tasks might affect productivity and how to ensure that the technology doesn't pose existential risks to society.Host: Alok Jha, The Economist's science and technology editor. Contributors: Zanny Minton Beddoes, editor-in-chief of The Economist; Ludwig Siegele, The Economist's senior editor, AI initiatives; Sam Altman, chief executive of OpenAI; Satya Nadella, chief executive of Microsoft. If you subscribe to The Economist, you can watch the full interview on our website or app. Essential listening, from our archive:“Daniel Dennett on intelligence, both human and artificial”, December 27th 2023“Fei-Fei Li on how to really think about the future of AI”, November 22nd 2023“Mustafa Suleyman on how to prepare for the age of AI”, September 13th 2023“Vint Cerf on how to wisely regulate AI”, July 5th 2023“Is GPT-4 the dawn of true artificial intelligence?”, with Gary Marcus, March 22nd 2023Sign up for a free trial of Economist Podcasts+. If you're already a subscriber to The Economist, you'll have full access to all our shows as part of your subscription. For more information about how to access Economist Podcasts+, please visit our FAQs page or watch our video explaining how to link your account. Hosted on Acast. See acast.com/privacy for more information.

OpenAI and Microsoft are leaders in generative artificial intelligence (AI). OpenAI has built GPT-4, one of the world's most sophisticated large language models (LLMs) and Microsoft is injecting those algorithms into its products, from Word to Windows. At the World Economic Forum in Davos last week, Zanny Minton Beddoes, The Economist's editor-in-chief, interviewed Sam Altman and Satya Nadella, who run OpenAI and Microsoft respectively. They explained their vision for humanity's future with AI and addressed some thorny questions looming over the field, such as how AI that is better than humans at doing tasks might affect productivity and how to ensure that the technology doesn't pose existential risks to society.Host: Alok Jha, The Economist's science and technology editor. Contributors: Zanny Minton Beddoes, editor-in-chief of The Economist; Ludwig Siegele, The Economist's senior editor, AI initiatives; Sam Altman, chief executive of OpenAI; Satya Nadella, chief executive of Microsoft. If you subscribe to The Economist, you can watch the full interview on our website or app. Essential listening, from our archive:“Daniel Dennett on intelligence, both human and artificial”, December 27th 2023“Fei-Fei Li on how to really think about the future of AI”, November 22nd 2023“Mustafa Suleyman on how to prepare for the age of AI”, September 13th 2023“Vint Cerf on how to wisely regulate AI”, July 5th 2023“Is GPT-4 the dawn of true artificial intelligence?”, with Gary Marcus, March 22nd 2023Sign up for a free trial of Economist Podcasts+. If you're already a subscriber to The Economist, you'll have full access to all our shows as part of your subscription. For more information about how to access Economist Podcasts+, please visit our FAQs page or watch our video explaining how to link your account. Hosted on Acast. See acast.com/privacy for more information.

She earned that unofficial title from her peers through her pioneering work harvesting big data to power AI, leading to the recent breakthroughs such as ChatGPT and its many successors. Her personal story is inspiring, from her childhood in China to risking her scientific career on a research gamble that might well have failed. And like a real godmother she now feels responsible for the revolution she helped launch.

Alan and Executive Producer Graham Chedd chat about and play excerpts from Alan's conversations with some of the guests in the new season, beginning next week. Guests include computer scientist Fei-Fei Li; former CEO of Google Eric Schmidt; and actor Tom Hanks.

Before the OpenAI Drama which pit AI enthusiasts (accelerationists) against doomers (decelerationists) we had a conversation with Stanford computer scientist and pioneering AI researcher, Dr. Fei-Fei Li. While cognizant of the challenges AI poses — including disinformation, polarization, biases, a loss of privacy and job losses that could lead to unrest — Li is a fierce advocate for the humane development of artificial intelligence and for increased diversity in the field. We taped this episode October 10, 2023 but wanted to re-air it in light of the ongoing debate about AI.  Questions or comments? Email us at on@voxmedia.com or find us on social media. We're on Instagram/Threads as @karaswisher and @nayeemaraza Learn more about your ad choices. Visit podcastchoices.com/adchoices

It's time for our annual predictions episode! Kara and Scott share their 2024 predictions on politics, stocks, China, Google and more. Plus, some Friend of Pivot predictions from Jen Psaki, Mike Birbiglia, Fei-Fei Li, Bill Cohan, Dr. Joy Buolamwini, and Matt Belloni.  Follow us on Instagram and Threads at @pivotpodcastofficial. Follow us on TikTok at @pivotpodcast. Send us your questions by calling us at 855-51-PIVOT, or at nymag.com/pivot. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Just about every day there's a new headline about artificial intelligence. OpenAI Founder and CEO Sam Altman was forced out, and then dramatically returned to his post—all in the span of a week. Then there's the recent speculation about a revolutionary new model from the company, called Q*, which can solve basic math problems.Beyond the inner workings of AI's most high profile startup are stories about AI upending just about every part of society—healthcare, entertainment, the military, and the arts. AI is even being touted as a way to help solve the climate crisis.How did we get to this moment? And how worried or excited should we be about the future of AI? No matter how it all shakes out, AI leader and early innovator Dr. Fei-Fei Li argues that humans should be at the center of the conversation and the technology itself.Ira talks with Dr. Fei-Fei Li, founding director of the Institute for Human-Centered AI at Stanford University and author of the book The Worlds I See: Curiosity, Exploration and Discovery At The Dawn of AI, about her path from physics to computer science and the promise and potential of human-centered artificial intelligence.To stay updated on all things science, sign up for Science Friday's newsletters. Transcripts for each segment will be available after the show airs on sciencefriday.com.

Artificial Intelligence (AI) is on every business leader's agenda. How do you ensure the AI systems you deploy are harmless and trustworthy? This month, Azeem Azhar picks some of his favorite conversations with leading AI safety experts to help you break through the noise. Today's pick is Azeem's 2020 conversation with the pioneering AI scientist Fei-Fei Li, professor of computer science at Stanford University and the founding co-director of Stanford's Human-Centered AI Institute.

A year ago, the public launch of ChatGPT took the world by storm and it was followed by many more generative artificial intelligence tools, all with remarkable, human-like abilities. Fears over the existential risks posed by AI have dominated the global conversation around the technology ever since. A pioneer that helped lay the groundwork that underpins generative AI models, Fei-Fei Li, takes a more nuanced approach to. She's pushing for a human-centred way of dealing with AI—treating it as a tool to help enhance—and not replace—humanity, while focussing on the pressing challenges of disinformation, bias and job disruption.Fei-Fei Li, a pioneer that helped lay the groundwork that underpins modern generative AI models, takes a more nuanced approach. She's pushing for a human-centred way of dealing with AI—treating it as a tool to help enhance—and not replace—humanity, while focussing on the pressing challenges of disinformation, bias and job disruption.Fei-Fei Li is the founding co-director of Stanford University's Institute for Human-Centred Artificial Intelligence. Fei-Fei and her research group created ImageNet, a huge database of images that enabled computers scientists to build algorithms that were able to see and recognise objects in the real world. That endeavour also introduced the world to deep learning, a type of machine learning that is fundamental part of how large-language and image-creation models work.Host: Alok Jha, The Economist's science and technology editor. Sign up for a free trial of Economist Podcasts+. If you're already a subscriber to The Economist, you'll have full access to all our shows as part of your subscription. For more information about how to access Economist Podcasts+, please visit our FAQs page or watch our video explaining how to link your account. Hosted on Acast. See acast.com/privacy for more information.

Computer scientist Fei-Fei Li had a wild idea: download one billion images from the internet and teach a computer to recognize them. She ended up advancing the state of artificial intelligence — and she hopes that will turn out to be a good thing for humanity.  RESOURCES:The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of A.I., by Fei-Fei Li (2023)."Fei-Fei Li's Quest to Make AI Better for Humanity," by Jessi Hempel (Wired, 2018)."ImageNet Large Scale Visual Recognition Challenge," by Olga Russakovsky, Li Fei-Fei, et al. (International Journal of Computer Vision, 2015).EXTRAS:“How to Think About A.I." series by Freakonomics Radio (2023).“Will A.I. Make Us Smarter?” by People I (Mostly) Admire (2023).“Satya Nadella's Intelligence Is Not Artificial,” by Freakonomics Radio (2023).“Max Tegmark on Why Superhuman Artificial Intelligence Won't be Our Slave,” by People I (Mostly) Admire (2021).

AI is popping up everywhere nowadays. From medicine to science to the Hollywood strikes. Today, with computer scientist and AI pioneer Fei-Fei Li, we dig deeper into the history of the field, how machines really learn and how computer scientists take inspiration from the human brain in their work. Li's new memoir The Worlds I See traces the history of her move to the U.S. from China as a high school student and her coming-of-age with AI. Got science to share? Email us at shortwave@npr.org.

In this installment of our series, AI + You, we dissect the ethical concerns that builders and users of AI must keep in focus. As the AI rollout continues at dizzying pace, we all have a part to play in ensuring human wellbeing is the bedrock principle. To guide you, host Reid Hoffman speaks with Stanford HAI's Fei-Fei Li, Inflection's Mustafa Suleyman, Adept's David Luan and more AI pioneers. Rather than be intimidated by these ethical issues, we'll leave you inspired to play a part in shaping a bright future in which humanity is elevated by AI.Read a transcript of this episode: https://mastersofscale.com/Subscribe to the Masters of Scale weekly newsletter: https://mastersofscale.com/subscribeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In part two of our 3-part series on AI + You, we offer an actionable playbook on how AI can help us scale ourselves personally. Personal scale is all about broadening your skill set and strengthening your human relationships. To guide you, host Reid Hoffman speaks to Stanford HAI's Fei-Fei Li, Inflection's Mustafa Suleyman, tech-centric artist Holly Herndon and more AI pioneers. You'll discover how AI can amplify your ability as a leader, coworker, collaborator and friend. Read a transcript of this episode: https://mastersofscale.com/Subscribe to the Masters of Scale weekly newsletter: https://mastersofscale.com/subscribeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI can be overwhelming. In this 3-part series, we offer business leaders an actionable playbook to best implement AI. Part one: To unleash AI's true power of scale, you must dive headfirst into ongoing experimentation. To guide you, host Reid Hoffman speaks to Stanford HAI's Fei-Fei Li, Inflection's Mustafa Suleyman, Adept's David Luan, and more AI pioneers. Their experiences with AI provide a perfect lens for any leader to better understand and navigate this new era, even in industries far from the leading edge of tech trailblazers. So channel your inner mad scientist and embrace this new revolutionary tool with us.Read a transcript of this episode: https://mastersofscale.com/Subscribe to the Masters of Scale weekly newsletter: https://mastersofscale.com/subscribeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.