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