A generative model of biology for in-silico experimentation and discovery

Kevin Yang, Senior Researcher, Microsoft Research New England, shares how deep learning is enabling us to generate novel and useful biomolecules, allowing researchers and practitioners to better understand biology.

See more at https://aka.ms/ResearchForum-Sep2024 (opens in new tab)

Series:: Microsoft Research Forum
Date:: September 3, 2024

- Kevin Yang
  
  Senior Researcher
Research Area
- Artificial intelligence
Research Lab
- Microsoft Research Lab - New England
Event
- Microsoft Research Forum | Episode 4

Series: Microsoft Research Forum

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Gagan Bansal
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John Langford
Magma: A foundation model for multimodal AI Agents | Microsoft Research Forum
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Jianwei Yang
Chimera: Accurate synthesis prediction by ensembling models with... | Microsoft Research Forum
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Marwin Segler
AI for Precision Health: Learning the language of nature and patients | Microsoft Research Forum
February 25, 2025
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Hoifung Poon,

Ava Amini,

Lili Qiu

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Keynote: Multimodal Generative AI for Precision Health | Microsoft Research Forum
February 25, 2025
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Hoifung Poon
Fostering appropriate reliance on AI
September 3, 2024
Speakers:

Mihaela Vorvoreanu
A generative model of biology for in-silico experimentation and discovery
September 3, 2024
Speakers:

Kevin Yang
Project Aurora: The first large-scale foundation model of the atmosphere
September 3, 2024
Speakers:

Megan Stanley
Direct Nash Optimization: Teaching language models to self-improve with general preferences
September 3, 2024
Speakers:

Corby Rosset
Analog optical computing for sustainable AI and beyond
September 3, 2024
Speakers:

Jiaqi Chu
Research Forum 4 | Panel: Beyond Language: The future of multimodal models in healthcare, gaming, and AI
September 3, 2024
Speakers:

John Langford,

Katja Hofmann,

Jianwei Yang

, et. al.
Research Forum 4 | Keynote: Phi-3-Vision: A highly capable and "small" language vision model
September 3, 2024
Speakers:

Jianfeng Gao
AutoGen Update: Complex Tasks and Agents
June 4, 2024
Speakers:

Adam Fourney
MatterGen: A Generative Model for Materials Design
June 4, 2024
Speakers:

Tian Xie
Driving Industry Evolution: Exploring the Impact of Generative AI on Sector Transformation
June 4, 2024
Speakers:

Jiang Bian
Insights into the Challenges and Opportunities of Large Multi-Modal Models for Blind and Low Vision Users: CLIP
June 4, 2024
Speakers:

Daniela Massiceti
Research Forum 3 | Panel: Generative AI for Global Impact: Challenges and Opportunities
June 4, 2024
Speakers:

Jacki O'Neill,

Tanuja Ganu,

Sunayana Sitaram

, et. al.
Research Forum 3 | Keynote: Building Globally Equitable AI
June 4, 2024
Speakers:

Jacki O'Neill
Generative AI and Plural Governance: Mitigating Challenges and Surfacing Opportunities
March 5, 2024
Speakers:

Madeleine Daepp
GigaPath: Foundation Model for Digital Pathology
March 5, 2024
Speakers:

Naoto Usuyama
Getting Modular with Language Models: Building, Reusing a Library of Experts for Task Generalization
March 5, 2024
Speakers:

Alessandro Sordoni
The Metacognitive Demands and Opportunities of Generative AI
March 5, 2024
Speakers:

Lev Tankelevitch
What's new in AutoGen?
March 5, 2024
Speakers:

Chi Wang