Here comes a foundation model for the Sun
Release
Kim Martineau and Mike Murphy
Science
Our focus extends beyond just increasing the rate of scientific discovery; it's about laying new technological foundations that can be applied across multiple fields, driving significant advancements in climate science, materials discovery, healthcare, and more.
Our work
Towards a generative future for computing
ReleaseMike MurphyOpening a new era in algorithmic development
Deep DiveAlessandro Curioni and Jay GambettaFrom simulated steps to real-world care: AI learns how we walk for neurology
ResearchPeter HessIBM Research Ireland moves to the heart of Dublin with a new lab at Trinity College Dublin
NewsMike MurphyIBM’s Dmitry Krotov wants to crack the ‘physics’ of memory
ResearchKim Martineau- See more of our work on Science
Topics
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.Materials Discovery
It can take over 10 years to come up with new materials. At IBM Research, we’re looking to accelerate the discovery process using new AI methods, robotics, the hybrid cloud, and quantum computers. Our goal is to unlock new properties and materials to address global challenges in years not decades.
Publications
Stable iterative refinement for solving linear systems with inaccurate computation
- 2026
- J. Comput. Appl. Math.
SkyStore: Cost-Optimized Object Storage Across Regions and Clouds
- Shu Liu
- Xiangxi Mo
- et al.
- 2025
- VLDB 2025
Quantum Machine Learning for minimal omics datasets with large feature space using embeddings and feature selection techniques
- Emre Sahin
- Matthew Madgwick
- et al.
- 2025
- QCE 2025
MDLab: AI frameworks for Carbon Capture and Battery Materials
- Bruce Elmegreen
- Hendrik Hamann
- et al.
- 2025
- Frontiers in Environmental Science
Quantifying artificial intelligence through algorithmic generalization
- Taku Ito
- Murray Campbell
- et al.
- 2025
- Nature Machine Intelligence
Dynamic Multimodal Fusion for Robust Molecular Representation Learning
- 2025
- ACS Fall 2025
The fastest path to progress
Watch a new short film on the computing revolutions that are accelerating the rate of scientific discovery like nothing before.
Watch the film
Projects
We're developing technological solutions to assist subject matter experts with their scientific workflows by enabling the Human-AI co-creation process.
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation
