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

MIT 6.S087: Foundation Models & Generative AI (2024)

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!

About the course

MIT Introductory Course on Foundation Models & Generative AI (2024) (https://www.futureofai.mit.edu/) Covering: - 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