Accelerated Discovery
The world is changing rapidly every day, and the way we used to solve problems won’t cut it anymore. At IBM Research, we’re combining our expertise in quantum computing, AI, and hybrid cloud to drastically increase how quickly we can discover solutions to tackle today’s most urgent problems.
Our work
IBM and NASA are building an AI foundation model for weather and climate
NewsKim Martineau- Accelerated Discovery
- AI
- Climate
- Foundation Models
Foundation models for addressing climate change
ResearchKim Martineau- Accelerated Discovery
- AI
- Climate
- Foundation Models
IBM and PINQ² unveil utility-scale quantum computer in Québec
NewsKatia Moskvitch- Accelerated Discovery
- Quantum
IBM and NASA open source the largest geospatial AI foundation model on Hugging Face
NewsKim Martineau- Accelerated Discovery
- AI
- Climate
- Distributed Systems
- Foundation Models
- Hybrid Cloud
- Open Source
- Scaling AI
Researchers validate a new class of AI-generated Covid antivirals
NewsKim Martineau- Accelerated Discovery
- AI
- Foundation Models
- Generative AI
- Trustworthy AI
AI-Descartes: A framework for automated scientific discovery
Technical note- Accelerated Discovery
- AI
- See more of our work on Accelerated Discovery
Projects
AI for Scientific Discovery
Knowledge Enhanced Accelerated Discovery
Accelerated Discovery of Battery Materials
Publications
- 2023
- NeurIPS 2023
- 2023
- NeurIPS 2023
- 2023
- NeurIPS 2023
- Yuankai Luo
- Lei Shi
- et al.
- 2023
- NeurIPS 2023
- Nicola Mariella
- Jannis Born
- et al.
- 2023
- NeurIPS 2023
- 2023
- NeurIPS 2023
Tools + code
RoboRXN for Chemistry
A unique tool for digital chemistry. Language models based on transformers can predict the most likely outcome of a chemical reaction and perform retrosynthetic analysis. RoboRXN can also program hardware to produce a molecule in a remotely accessible, autonomous chemical laboratory.
View project →RXNmapper
A chemically agnostic attention-guided reaction mapper.
View project →GT4SD
An open-source library to accelerate hypothesis generation in the scientific discovery process.
View project →Deep Search
Deep Search extracts and structures data from documents in four steps: Parse, Interpret, Index, and Integrate.
View project →
