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

Podcast |: Machine Learning Engineered
Publisher |: Charlie You
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Careers,; Data Science,; Interview,; Machine Learning,; Technology
Categories Via RSS |: Business,; Careers,; Science,; Technology
Publication Date |: Jan 19, 2021
Episode Duration |: 01:15:25

Description
iTunes Summary

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 Biomachines

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:

Founders First Interview - Making Alchemy Real

DeepChem

Engines of Creation

Rama Series

Pavle talks about his vision for a post-scarcity future, and how his company, Aether Bio, is using machine learning to accelerate towards that by creating and modeling enzymatic reactions.