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
AI-Descartes: A framework for automated scientific discovery
Technical noteHow IBM and STFC Hartree Centre are accelerating innovation in the UK
NewsKatia Moskvitch and Leonid Leiva AriosaIBM and Cleveland Clinic unveil the first quantum computer dedicated to healthcare research
NewsMike Murphy and Bethany DouglasIBM and NASA team up to spur new discoveries about our planet
NewsKim Martineau3 minute readAn AI foundation model that learns the grammar of molecules
NewsPayel Das, Youssef Mroueh, Inkit Padhi, Vijil Chenthamarakshan, Jerret Ross, and Brian BelgodereThe 2022 IBM Research annual letter
Deep DiveDarío Gil- See more of our work on Accelerated Discovery
Projects
Publications
- 2023
- ESWC 2023
- Nayara Fonseca
- Veronica Guidetti
- et al.
- 2023
- ICLR 2023
- 2023
- ICLR 2023
- Paula Harder
- Venkatesh Ramesh
- et al.
- 2023
- EGU 2023
- 2023
- EGU 2023
- Anne Jones
- Andrew Taylor
- et al.
- 2023
- EGU 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 →
