Robohub.org
 

Talking Machines: Computational learning theory and machine learning for understanding cells, with Aviv Regev


by
24 May 2016



share this:
Stem cell. Source: CC0

Stem cell. Source: CC0

In episode ten of season two, we talk about Computational Learning Theory and Probably Approximately Correct Learning originated by Professor Leslie Valiant of SEAS at Harvard, we take a listener question about generative systems, plus we talk with Aviv Regev, Chair of the Faculty and Director of the Klarman Cell Observatory and the Cell Circuits Program at the Broad Institute.

If you like this podcast, you may also be interested in:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.



tags:


Talking Machines is your window into the world of machine learning.
Talking Machines is your window into the world of machine learning.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

What does it take for a robot to hold a conversation with a room, not just a person?

and   14 Aug 2026
Find out about a summer school held at Imperial College London.

Robotics roadmaps from around the world

We embark on a tour into some of the recent and prominent robotics roadmaps from around the world.

A ‘5-in-1’ seed-sized surgical robot

Mini robot can move, cut tissue, release drugs, grip and store samples, and generate heat wirelessly

AI agents create virtual playgrounds to help robots get crucial training data

  07 Aug 2026
“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.

Robots in society, business and culture: July 2026

A round up of robotics stories in a new monthly series from IEEE RAS.

Simulated zebrafish and a vision-equipped robotic fish reveal how the body shapes brain circuits

Researchers look to the fish brain to create a robotic zebrafish that can autonomously swim upstream.

Researchers develop modular nanorobot

  31 Jul 2026
A team at the University of Basel has developed a versatile nanorobot with propulsion and payload modules.

Surviving the paper deluge: a one-year study in learning from demonstration

With the explosion of robotics research, staying current in fields like Learning from Demonstration is a monumental challenge.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence