Shaping the World of Robotics with Chelsea Finn

Gradient Dissent: Conversations on AI

Contenu fourni par Lukas Biewald. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Lukas Biewald ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

3M ago 53:46

MP3•Maison d'episode

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.

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. Plus, Chelsea will offer a glimpse into the future of household robotics and why it may be a few years before a robot is making your bed.

Whether you're an AI enthusiast, a robotics professional, or simply curious about the potential and future of the technology, this episode offers unique insights into the evolving world of robotics and where it's headed next.

*Subscribe to Weights & Biases* → https://bit.ly/45BCkYz

🎙 Get our podcasts on these platforms:

Apple Podcasts: http://wandb.me/apple-podcasts

Spotify: http://wandb.me/spotify

Google: http://wandb.me/gd_google

YouTube: http://wandb.me/youtube

Connect with Chelsea Finn:

https://www.linkedin.com/in/cbfinn/

https://twitter.com/chelseabfinn

Follow Weights & Biases:

https://twitter.com/weights_biases

https://www.linkedin.com/company/wandb

Join the Weights & Biases Discord Server:

https://discord.gg/CkZKRNnaf3

103 episodes

#Tech #Lukas Biewald #Business #Machine Learning