32 min listen
Deeply Tough Framework, Grammar for Agents, and Too Much Screen Time?
FromJournal Club
ratings:
Length:
34 minutes
Released:
May 26, 2020
Format:
Podcast episode
Description
Today on the show Kyle discusses research which suggests that time on screens has little impact on kids' social skills. Lan talks about DeeplyTough a deep learning framework targeting the protein pocket matching problem - try to answer whether a pair of protein pockets can bind to the same ligand.George's paper this week is about defining a grammar for interpretable agents. By basing this formalism on a corpus of human explanation dialogues the authors hope to produce a more "grounded" protocol.
Released:
May 26, 2020
Format:
Podcast episode
Titles in the series (27)
AlphaGo, COVID-19 Contact Tracing, and New Data Set: George led a discussion about . Lan informed us about the . Kyle shared some thoughts about the paper . by Journal Club