Bruno Correia, who is a computational biologist, used to be strongly against machine learning and artificial intelligence. In fact, it was not our in the lab he was running. His attitude regarding it has changed, and AI actually helped him to detect protein interaction, much faster than is possible using standard methods. The emergence of geometric subfield of deep learning is what changed his mind. His research has shifted more towards focused effort in understanding the virus wreaking havoc in the world.
Key Takeaways:
- He has had a rule in the his lab and that was no machine learning was allowed.
- He has changed his mind a bit because he wants to learn about protein interaction.
- You can look to the early 2000’s for the face recognition to find more data about these proteins.
“What changed his mind? Geometric deep learning: an emerging subfield of artificial intelligence that can learn patterns on curved surfaces.”
Read more: https://www.quantamagazine.org/new-machine-learning-system-decodes-how-proteins-interact-20200603/
