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An exploration of the intersection of technology, the economy, politics and culture with global thought leaders.
Jun 16, 2021
Alison Gopnik: AIs need moms
In the same _paper_ where Alan Turing outlined his famous criteria for determining when a computer is capable of thinking like a human being, he also shared advice on building a device that might one day pass the ‘Turing Test.’ “Instead of trying to produce a programme to simulate the adult mind,” the pioneer of computer science writes,“why not rather try to produce one which simulates the child's?” The deep learning breakthroughs by Geoffrey Hinton and the architects of neural networks created technologies that have gone on to _out-perform oncologists_ in cancer detection and help self-driving cars _navigate_ our roads. However, to build systems that are capable of broadly generalizing across different use cases and experiences, researchers are looking to children for inspiration. In this episode of Radical Talks, renowned psychologist _Alison Gopnik_ explores how AI systems may benefit from a better understanding of the way children learn and play. Gopnik, who runs the Cognitive Development and Learning Lab at the University of California, Berkeley is also the best-selling author of The Philosophical Baby, and The Gardener & The Carpenter. Like scientists, children constantly test hypotheses to better understand the world. Gopnik argues that the causal inference demonstrated by a child offers clues into how to build more resilient AI systems. Current AI technologies are a bit like the children of ‘helicopter’ parents – they’re task-focused and good at doing one thing well. As is the case with raising a well-rounded child, to broaden the potential of AI there may be value in nurturing and rewarding curiosity in AI models. If researchers are successful in building an AI that demonstrates child-like curiosity, a question emerges around the need for computational caregivers to keep AIs from causing damage to themselves or others and to ensure they benefit society more broadly. As Gopnik puts it, “AIs need moms.”
Jan 28, 2021
Fei-Fei Li: Making Sense of Healthcare with Machine Intelligence
A feature conversation with AI pioneer Fei-Fei Li. As _WIRED_ magazine put it: “She’s 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.” The Stanford Computer Science Professor and Co-Director of the Stanford Institute for Human-Centered AI, joins Radical Ventures Managing Partner, Jordan Jacobs, for a feature conversation on the enormous opportunities to improve healthcare with AI, the state of computer vision, and how we should be thinking about the human values of AI systems. Fei-Fei Li is a co-founder of _Dawnlight_, a Radical portfolio company. For more thoughts and insights from Radical Ventures, visit www.radical.vc.
Oct 28, 2020
Pieter Abbeel: Making Robots Smart
A feature interview with Pieter Abbeel, an innovator at the cutting edge of where AI meets robotics. In this episode of Radical Talks, Radical Ventures Managing Partner Jordan Jacobs chats with Pieter about the impact of COVID19 on automation, how AI has revolutionized the field of robotics and they also share a few thoughts on how professional sports should be thinking about robot refs. Pieter Abbeel is a professor of electrical engineering and computer science at the University of California, Berkeley where he is also director of the Robot Learning Lab. Peter is also co-founder of Covariant - a company that has built a universal AI platform for robotics (Radical Ventures is an investor in Covariant). For more thoughts and insights from Radical Ventures, visit www.radical.vc.
Sep 15, 2020
Dr. Eric Topol: Artificial Intelligence and the Future of Healthcare
Dr. Eric Topol joins Radical Ventures Managing Partner Jordan Jacobs for a discussion about the latest challenges in combatting COVID-19, and how Artificial Intelligence is the future of healthcare — the key to better health and more compassionate care. Dr. Topol is the founder and director of the Scripps Research Translational Institute, professor of molecular medicine, and executive vice president of Scripps Research. His latest book is Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Created by Radical Ventures, an early stage venture fund investing in technology and Artificial Intelligence, Radical Talks explores the intersection of technology, the economy, politics and culture with global thought leaders. To get more Radical content, or to sign-up for our weekly newsletter, please visit Radical.vc.
Jul 23, 2020
Re-Imagining the Economy with Eric Schmidt
Welcome to the premier episode of Radical Talks. Created by Radical Ventures, an early stage venture fund investing in technology and Artificial Intelligence, Radical Talks explores the intersection of technology, the economy, politics and culture with global thought leaders. In our first episode we're joined by Eric Schmidt. Eric was the CEO of Google from 2001 to 2011, and the Executive Chairman of Google -- and then Alphabet -- from 2011 to 2017. He is also an investor in Radical Ventures. In this episode we touch on the macro impacts of the pandemic, China relations, the Sidewalk Labs project and how technology and society might look very different coming out the other side of this crisis. To get more Radical content or to sign up to our weekly newsletter, please visit Radical.vc