IBM Research Ireland moves to the heart of Dublin with a new lab at Trinity College Dublin
News
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
IBM’s Dmitry Krotov wants to crack the ‘physics’ of memory
ResearchKim MartineauA faster way to screen supply chains for harmful chemicals
ResearchKim MartineauHow to make AI models more accurate: Embrace failure
ResearchPeter HessLarge memory storage through astrocyte computation
Technical noteDmitry Krotov and Leo KozachkovHow IBM Research first demonstrated the revolutionary Cooley-Tukey FFT
NewsPeter Hess- 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.
MDLab: AI frameworks for Carbon Capture and Battery Materials
- Bruce Elmegreen
- Hendrik Hamann
- et al.
- 2025
- Frontiers in Environmental Science
Dynamic Multimodal Fusion for Robust Molecular Representation Learning
- 2025
- ACS Fall 2025
3rd TrustAI Workshop: Building Public Awareness and Engagement
- Miriam Rateike
- Brian Mboya
- et al.
- 2025
- DLI 2025
HyRet-Change: A Hybrid Retentive Network for Remote Sensing Change Detection
- Mustansar Fiaz
- Mubashir Noman
- et al.
- 2025
- IGARSS 2025
Learnable Channel Converter for Multi-Spectral Image to RGB Visualization using a Vision-Text Model
- Haoxiang Qiu
- Tomoya Sakai
- et al.
- 2025
- IGARSS 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.
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