Thilo Stöferle

Teodoro Laino

Ivano Tavernelli

Levente Klein

Campbell Watson

Bianca Zadrozny

Darius Urbonas

Fabio Scafirimuto

Rainer F. Mahrt

Alain Vaucher

Fiona Shortt de Hernandez

Sascha Hausberg

Leo Gross

Katharina Kaiser

Jason Crain

Florian Albrecht

News

Research

How AI can help predict climate extremes

One photon to flip them all: New optical switch approaches peak energy efficiency

Supercrystals: a step towards next-gen ultrabright light sources

Thieme trains IBM RXN for Chemistry with high-quality data

The first atomic-resolution images of extraterrestrial molecules

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

Scanning probe microscopy technique could open the door to molecular machines

Science

MRS Fall Meeting 2022

IEDM 2022

Quantum Chemistry

Exploratory Science

Physical Sciences

Quantum

Materials Discovery

Healthcare

Climate

Impact Science

Accelerated Discovery

IBM has been at the forefront of computer science research since the fields inception. Our research today focuses on discovering 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.

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.

Life Sciences

Our groundbreaking AI research aiming to solve some of the most important issues humanity faces.

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.

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.



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Selectivity in single-molecule reactions by tip-induced redox chemistry

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Nature cover story features assembling nanocrystals into “supercrystals,” which allows engineers to design materials with novel optical properties.

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IBM Research at International Conference for Machine Learning 2021: Tackling Climate Change with Machine Learning

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