Скачать или смотреть AI in biology: distinguishing hype from reality

Learn more about the online Master of Science program from the University of Florida Department of Microbiology & Cell Science: https://microbiologyonline.ifas.ufl.e...

In this video, we talk about the promise and the perils of AI. We dive into a particular case where AI was used to predict enzyme function and gave results that looked really promising, but were not quite right.

Links:
Original paper: https://www.nature.com/articles/s4146...
Valerie's Rebuttal: https://academic.oup.com/g3journal/ad...
Rachel's blog post: https://rachel.fast.ai/posts/2025-06-...

0:00 Intro
1:26 How Valerie came across the enzyme prediction paper
14:07 Training data contamination
17:40 UniProt DB is essential... but has not enough funding
23:58 The importance of good data for ML algorithms
26:45 DeepVariant as a good application of AI in biology
30:07 Rachel's viral blog post
33:28 AI generating biologically impossible annotations
39:40 Can you use AI for labeling easy problems?
42:21 Lab in the loop
49:42 How understanding an E. coli enzyme function helped Valerie demystify human disease
56:51 The amount of energy needed to refute BS is an order of magnitude bigger than needed to produce it
1:02:33 Can AI cure all diseases within 10 years?
1:04:58 How hype can slow down progress
1:08:44 How do you separate hype from reality in a new paper
1:15:48 Is one PhD not enough?