Building a Post-Scarcity Future using Machine Learning with Pavle Jeremic (Aether Bio)

19/01/2021 1h 15min Episodio 18
Building a Post-Scarcity Future using Machine Learning with Pavle Jeremic (Aether Bio)

Listen "Building a Post-Scarcity Future using Machine Learning with Pavle Jeremic (Aether Bio)"

Episode Synopsis

Pavle Jeremic is the founder and CEO of Aether Biomachines, one of the most exciting ML-powered startups I've come across. His mission is to solve scarcity and Aether is the first step towards that. He was recently featured in Forbes' 30 under 30 in Manufacturing and holds a B.S. in Biomolecular Engineering from UC Santa Cruz.Learn more:Aether BiomachinesEvery Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://bitly.com/mle-newsletterFollow Charlie on Twitter: https://twitter.com/CharlieYouAISubscribe to ML Engineered: https://mlengineered.com/listenComments? Questions? Submit them here: http://bit.ly/mle-surveyTake the Giving What We Can Pledge: https://www.givingwhatwecan.org/Timestamps:02:45 Pavle Jeremic05:20 How Pavle was introduced to computer science and programming08:00 Solving scarcity from first principles23:20 How Aether contributes to the post-scarcity future29:30 What enzymatic reaction data looks like37:20 Using deep learning to figure out what enzymatic experiments to run next39:45 How Aether runs thousands of experiments at a time47:00 What the current bottleneck of the system is53:15 The evolution of ML models at Aether59:00 Gaps in existing ML infrastructure solutions01:03:30 Why Aether is releasing some of their data for a competition01:06:50 The upcoming roadmap for Aether01:09:30 Rapid fire questionsLinks:Founders First Interview - Making Alchemy RealDeepChemEngines of CreationRama Series

More episodes of the podcast Machine Learning Engineered