Youssef Mroueh

Mohamed Ghalwash

Jerret Ross

Brian Belgodere

Eileen Koski

Kenney Ng

Vibha Anand

Anna Weber

Jannis Born

María Rodríguez Martínez

Jianying Hu

Niina Haiminen

Kristen Beck

Pablo Meyer

Inkit Padhi

Payel Das

 Vijil Chenthamarakshan

Roger Traub

Kim Martineau

News

Research

Technical note

Neural networks take TITAN-sized step toward T cell specificity prediction

IBM Research and JDRF continue to advance biomarker discovery research

An AI foundation model that learns the grammar of molecules 

How microbiome analysis could transform food safety

AI transformers shed light on the brain’s mysterious astrocytes

Crowdsourcing to trace cell lineages

How we react to smells could unlock how we form conscious thoughts

NeurIPS 2024

ACS Spring 2025

Foundation Models

Machine Learning

Natural Language Processing

Life Sciences

Science

Materials Discovery

Healthcare

Accelerated Discovery

IBM has been at the forefront of computer science research since the field’s inception. Our research today focuses on achieving breakthroughs in automation, information processing, and computation. Our goal is to complement and extend human performance — and advance society as a whole. 

Computer Science

We’re working on automation, information processing, and computation research to complement and extend human performance and advance society.

The combination of increasingly powerful computers and AI offers the possibility to be able to detect, diagnose, and cure diseases like never before. At IBM Research, we’re working on creating software and AI systems that can convert reams of health data into useable information for clinicians the world over.

Healthcare and Life Sciences

We're building systems that can convert reams of health data into useable information for clinicians the world over.

We're working on groundbreaking research aiming to revolutionize the field of life sciences. We're solving some of the most important issues humanity faces with artificial intelligence, developing novel and unconventional computing structures, as well as mathematical and computational modeling.

Our long history of research has had an enduring impact on computer science, operations research, and information theory. We’re currently focused on optimization, probability, complexity, geometry of data, as well as linear and multi-linear algebra, to deliver tools that are fundamental to big data and AI.

Mathematical Sciences

We’re focused on foundational mathematical research with the aim of delivering tools to that are fundamental to big data and AI.

Our physical sciences researchers seek to understand materials and their properties through advanced characterization methods, explore novel devices and materials for new computational platforms, and apply physics to improve AI algorithms and interpretability.



Physical Sciences

We’re using physics to improve AI algorithms and interpretability, as well as novel materials for new computational platforms. 


A morphing .gif of molecules ranging from illustration to 3d models in a blue hue.

https://research-website.bx.cloud9.ibm.com/blog/t-cell-prediction

Life Sciences

Our work

AI transformers shed light on the brain’s mysterious astrocytes

IBM Research and JDRF continue to advance biomarker discovery research

An AI foundation model that learns the grammar of molecules

How we react to smells could unlock how we form conscious thoughts

Crowdsourcing to trace cell lineages

Neural networks take TITAN-sized step toward T cell specificity prediction

Publications

Physics-informed categorization of data modalities used in AI-assisted drug discovery

Enhancing Control and Speed in Anionic Ring-Opening Polymerization: A Continuous-Flow Ap-proach for Rapid, Well-Defined Polymers in Milliseconds

Polymeric Giant Unilamellar Vesicles Support Longevity of Native Nuclei in Protocells

Enhancing foundation models for scientific discovery via multimodal knowledge graph representations

Neuron-Astrocyte Associative Memory

Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations

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