Peter Hess

Romeo Kienzler

Thomas Brunschwiler

Bethany Hill McCarthy

Mike Murphy

Kim Martineau

News

Technical note

Deep Dive

Revolutionizing geospatial data management

Introducing Prithvi WxC, a new general-purpose AI model for weather and climate

From surf to satellites: Campbell Watson is bringing AI to Earth science

Surfing, customizing AI models, and really big microscopes

Rapidly unlocking geospatial insights with IBM AI chips

An IBM-led team is exploring how AI can prepare the electrical grid for the low-carbon era

Photos: How IBM and NASA's new geospatial model is changing our view of the world

SPIE Advanced Lithography + Patterning 2025

APS Global Physics Summit 2025

KubeCon EU 2025

Foundation Models

Quantum Safe

Open Source

Granite

Semiconductors

AI Hardware

Climate and Sustainability

Impact Science

We're designing models to help make supply chains more responsive, intelligent, sustainable, and automated. We're creating reusable toolkits infused with AI, for functions such as demand forecasting, inventory positioning, omni-channel fulfillment and returns, multi-tier network analysis, and more.

AI for Supply Chain

To respond to the global climate emergency, we're using AI and hybrid cloud to accelerate discovery of climate mitigation and adaption solutions. We're improving carbon emission performance through optimization and capture, and preparing enterprises for the impact of climate change.

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 researching how businesses prepare for the post-COVID workplace. We’re working on tools to improve recruitment, skills assessments, remote worker productivity, and to safely manage and monitor smart buildings as employees return to the office. 

Future of Work

We're working on smart systems to help businesses prepare for the impending return to the office.

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.

Materials Discovery

Climate and Sustainability

Our work

Photos: How IBM and NASA's new geospatial model is changing our view of the world

An IBM-led team is exploring how AI can prepare the electrical grid for the low-carbon era

Rapidly unlocking geospatial insights with IBM AI chips

Surfing, customizing AI models, and really big microscopes

From surf to satellites: Campbell Watson is bringing AI to Earth science

Introducing Prithvi WxC, a new general-purpose AI model for weather and climate

Publications

MDLab: AI frameworks for Carbon Capture and Battery Materials

Kepler Project Updates

Computing bandgaps of periodic materials with a quantum processor via tight-biding projection and subspace quantum diagonalization

Exploring quantum computing for materials discovery in direct air capture applications

Quantum Computer-Enhanced Surface Reaction Simulations for Battery Materials through Sample-Based Quantum Diagonalization and Local Embedding

Accelerated Discovery for a Sustainable Semiconductor Industry

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