Rodrigo Neumann

Katia Moskvitch

Levente Klein

Campbell Watson

Bianca Zadrozny

Solomon Assefa

Mathias Steiner

News

Research

How cloud computing could help store carbon dioxide in tiny rock pores

Earth Day 2021: Accelerating science to build a more sustainable future

How AI can help predict climate extremes

 Mayflower: World’s cleverest robotic ship gets ready to cross and study the Atlantic

Climate change: IBM boosts materials discovery to improve carbon capture, separation and storage

Science

ICML 2021

ACS Fall 2021

Quantum Chemistry

Physical Sciences

Hybrid Cloud HPC

Quantum

Climate

Impact Science

Accelerated Discovery

Quantum Machine Learning

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.

Climate and Sustainability

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

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

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Climate and Sustainability

Our work

How AI can help predict climate extremes

How cloud computing could help store carbon dioxide in tiny rock pores

Mayflower: World’s cleverest robotic ship gets ready to cross and study the Atlantic

Earth Day 2021: Accelerating science to build a more sustainable future

Publications

Computational and experimental design of solvents for CO2 capture

Accelerating the development of new polymeric materials: The convergance of automated experimentation, cloud computing, and predictive modeling

Large datasets for machine learning and reactor response curves for the ring opening polymerization of lactide

Pi-Diradical Aromatic Soot Precursors in Flames

A comparative study of stochastic and deep generative models for multisite precipitation synthesis

Controlling Weather Field Synthesis Using Variational Autoencoders

Related teams

AI for Supply Chain

Healthcare and Life Sciences

Future of Work

Materials Discovery