Feb. 15, 2024, 5 p.m. | Weights & Biases

Weights & Biases www.youtube.com

In the newest episode of Gradient Dissent, Chelsea Finn, Assistant Professor at Stanford's Computer Science Department, discusses the forefront of robotics and machine learning.

*Listen on Apple Podcasts* http://wandb.me/apple-podcasts

Discover her groundbreaking work, where two-armed robots learn to cook shrimp (messes included!), and discuss how robotic learning could transform student feedback in education.

We'll dive into the challenges of developing humanoid and quadruped robots, explore the limitations of simulated environments and discuss why real-world experience is key for adaptable machines. …

assistant computer computer science cook discuss education feedback finn gradient gradient dissent groundbreaking her learn machine machine learning professor robotic robotic learning robotics robots science stanford work world

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