Robotics Research Update, with Keerthana Gopalakrishnan and Ted Xiao of Google DeepMind
"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis - Een podcast door Erik Torenberg, Nathan Labenz
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Google DeepMind researchers Keerthana Gopalakrishnan and Ted Xiao discuss their latest breakthroughs in AI robotics. Including models that enable robots to understand novel objects, learn from human demonstrations, and operate under ethical constraints. The conversation covers six groundbreaking papers that showcase rapid progress towards general-purpose robotics. SPONSORS: The Brave search API can be used to assemble a data set to train your AI models and help with retrieval augmentation at the time of inference. All while remaining affordable with developer first pricing, integrating the Brave search API into your workflow translates to more ethical data sourcing and more human representative data sets. Try the Brave search API for free for up to 2000 queries per month at https://bit.ly/BraveTCR Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off https://www.omneky.com/ Plumb is a no-code AI app builder designed for product teams who care about quality and speed. What is taking you weeks to hand-code today can be done confidently in hours. Check out https://bit.ly/PlumbTCR for early access. Head to Squad to access global engineering without the headache and at a fraction of the cost: head to https://choosesquad.com/ and mention “Turpentine” to skip the waitlist. CHAPTERS : (00:00) Introduction (04:44) The Future of Robotics (14:40) Sponsors : Brave / Omneky (16:04) Inputs and Outputs (24:03) A Leap Towards Generalist Robots (32:08) Sponsors : Plumb / Squad (33:52) Learning in Robotics (41:12) Learning from On-the-Fly Examples (41:57) Annotating Robot Actions (50:17) Scaling and Safety (01:03:05) Learning to Learn Faster (01:08:43) Zero-Shot Learning (01:15:15) Future Directions