Automated ML for RNA Design with Danny Stoll - TWIML Talk #288

episode

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

Related

recent transcribed audio

The Songs of John Farnham: A Living Legend | Tony Cochrane (23.09.26) 7 min · 23 Sep 2026 · Whateley

Las 10 de Erazno, el Chokolatazo, Parodias, 1h 29m · 23 Sep 2026 · Erazno y La Chokolata El Podcast

Steve Hilton & Spencer Pratt: Fixing California, Cheaper Gas, Ballot Fraud & CA Republicans 55 min · 23 Sep 2026 · All-In with Chamath, Jason, Sacks & Friedberg

Optics of Alastair Clarkson's brunt sacking | The Eminently Sensible Phil Davis (23.09.26) 1 min · 23 Sep 2026 · Whateley

The Eminently Sensible Phil Davis | Whateley (23.09.26) 13 min · 23 Sep 2026 · Whateley

The impact of Zak Butters' homecoming | The Eminently Sensible Phil Davis (23.09.26) 1 min · 23 Sep 2026 · Whateley

Report any issue

Source

Recorded05 Aug 2019

Publisherfeeds.megaphone.fm ↗

Handlerec:12496250

Show notes

Today we’re joined by Danny Stoll, Research Assistant at the University of Freiburg. Danny’s current research can be encapsulated in his latest paper, ‘Learning to Design RNA’. In this episode, Danny explains the design process through reverse engineering and how his team’s deep learning algorithm is applied to train and design sequences. We discuss transfer learning, multitask learning, ablation studies, hyperparameter optimization and the difference between chemical and statistical based approac

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Sign in