MIT 6.S087: Foundation Models & Generative AI. BIOLOGY

Guest lecture by Professor Manolis Kellis.
0:00 Welcome and Intro
1:17 Data Increases in Medicine
3:23 Paradigm Shifts: Data, Genomes, AI
5:00 Disease Circuitry Dissection
10:05 Regulatory Genomics + CNNs
12:01 Impact of Genetic Variation
13:02 Single-cell and VAEs
15:03 Electronic Health Records + LLMs
17:43 Imaging Pathology Annotations + CLIP
19:25 Drug Development/Chemistry + GNNs
21:15 Protein structure + Transformers
22:01 Therapeutics
23:19 Idea Navigation
24:58 Summary
26:00 Questions

Get ready to revolutionize your AI knowledge with MIT's introductory course (https://www.futureofai.mit.edu/) on Foundation Models & Generative AI! In this comprehensive program, you'll discover the latest breakthroughs in the AI world:
- ChatGPT
- Stable-Diffusion & Dall-E
- Neural Networks
- Supervised Learning
- Representation & Unsupervised Learning
- Reinforcement Learning
- Generative AI
- Self-Supervised Learning
- Foundation Models
- GANs (adversarial)
- Contrastive Learning
- Auto-encoders
- Denoising & Diffusion
Don't miss this opportunity to learn from the experts at MIT and take your AI skills to the next level. Subscribe now and be at the forefront of the AI revolution!