Eileen Koski

Vibha Anand

Jianying Hu

Mathias Steiner

Hendrik Hamann

Jason Crain

Darío Gil

John R Smith

Matteo Manica

Bum Chul (BC) Kwon

Marina Rakhlin

Tim Erdmann

Jed Pitera

Daniel P. Sanders

Kristin Schmidt

Young-Hye Na

Maxwell Giammona

News

Research

Explainer

Computer simulations identify new ways to boost the skin’s natural protectors

What are generative AI models?

IBM continues advancing disease progression modeling and biomarkers research using the latest in AI

IBM Research is accelerating discoveries to tackle climate change

The fastest path to progress 

Charting the future of technology and tomorrow’s unknown business environments

Accelerating discovery for societal and economic impact

Science

ICML 2021

NeurIPS 2020

ACS Spring 2021

ACS Fall 2020

ICWS 2021

Hybrid Cloud

Responsible Technology

Physical Sciences

Semiconductors

Quantum

Materials Discovery

Healthcare

Climate

Accelerated Discovery

Few fields will get value from quantum computing as quickly as chemistry. Even today’s supercomputers struggle to model a single molecule in its full complexity. We study algorithms designed to do what those machines can’t, and power a new era of discovery in chemistry, materials, and medicine.

Quantum Chemistry

Causal modeling is crucial to the effectiveness and trust of AI by ensuring that actions lead to intended outcomes. We study the inference of causal effects and relationships, as well as the application of causal thinking to out-of-distribution generalization, fairness, robustness, and explainability.

Causality

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.

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.

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.

An open-source library to accelerate hypothesis generation in the scientific discovery process.

GT4SD

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.

RoboRXN for Chemistry

A chemically agnostic attention-guided reaction mapper.

RXNmapper

How generative models can transform the way we discover

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A machine learning-generated animation of satellite images of Earth.

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Accelerating discovery of more sustainable materials through AI and automation

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