SOBRE ESTE EPISÓDIO
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:
Every 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-newsletter
Follow Charlie on Twitter: https://twitter.com/CharlieYouAI
Subscribe to ML Engineered: https://mlengineered.com/listen
Comments? Questions? Submit them here: http://bit.ly/mle-survey
Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/
Timestamps:
02:45 Pavle Jeremic
05:20 How Pavle was introduced to computer science and programming
08:00 Solving scarcity from first principles
23:20 How Aether contributes to the post-scarcity future
29:30 What enzymatic reaction data looks like
37:20 Using deep learning to figure out what enzymatic experiments to run next
39:45 How Aether runs thousands of experiments at a time
47:00 What the current bottleneck of the system is
53:15 The evolution of ML models at Aether
59:00 Gaps in existing ML infrastructure solutions
01:03:30 Why Aether is releasing some of their data for a competition
01:06:50 The upcoming roadmap for Aether
01:09:30 Rapid fire questions
Links:
