Posts Tagged :

stanford

Geometric Deep Learning with Joan Bruna and Michael Bronstein
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

This week on the podcast we’re featuring a series of conversations from the NIPs conference in Long Beach, California. I attended a bunch of talks and learned a ton, organized…

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AI at the NASA Frontier Development Lab with Sara Jennings, Timothy Seabrook and Andres Rodriguez
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

This week on the podcast we’re featuring a series of conversations from the NIPs conference in Long Beach, California. I attended a bunch of talks and learned a ton, organized…

read more
Using Deep Learning and Google Street View to Estimate Demographics with Timnit Gebru
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

This week on the podcast we’re featuring a series of conversations from the NIPs conference in Long Beach, California. I attended a bunch of talks and learned a ton, organized…

read more
Robotic Perception and Control with Chelsea Finn
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Our third guest in the Industrial AI series is Chelsea Finn,  PhD student at UC Berkeley. Despite being early in her career, Chelsea is an accomplished researcher with more than 14 published papers in the past 2 years, on subjects like Deep Visual Foresight , Model-Agnostic Meta-Learning and Visuomotor Learning to name a few. We discuss all of these topics in the show, as well as subjects like zero-shot, one-shot and few-shot learning.read more
Reinforcement Learning Deep Dive with Pieter Abbeel
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Our second guest in the Industrial AI series is Pieter Abbeel, Assistant Professor at UC Berkeley, Research Scientist at OpenAI, and Cofounder of Gradescope. During this conversation, Pieter and I really dig into reinforcement learning, which is a technique for allowing robots (or AIs) to learn through their own trial and error. read more
Stefano Ermon Interview on This Week of Machine Learning & AI
Domain Knowledge in Machine Learning Models for Sustainability with Stefano Ermon
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
My guest this week is Stefano Ermon, Assistant Professor of Computer Science at Stanford University. Stefano and I discuss domain knowledge in machine learning models, dimensionality reduction, semi-supervised learning, proxy & transfer learning, and applying ML & AI to sustainability issues such as poverty, food security and the environment. read more
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