Michael Johnston

Peter Hess

Juan Bernabé-Moreno

Benedikt Blumenstiel

Alessandro Pomponio

Johannes Jakubik

Oki Gunawan

Doug Bishop

Bonfilio Nainggolan

Mike Murphy

Kim Martineau

News

Research

Technical note

Deep Dive

Release

Introducing ado: The accelerated discovery orchestrator

AI-powered satellites will upend how we observe our changing planet

Introducing Thinking-in-Modalities with TerraMind

Leading the way in open Earth observation AI

The quest to teach LLMs how to count

From atoms to chips: Thermonat models heat with unprecedented accuracy

A new advance in a two-century pursuit in physics

Foundation Models

Natural Language Processing

Generative AI

Mathematical Sciences

Exploratory Science

Physical Sciences

Computer Science

Hardware Technology

Semiconductors

Science

Accelerated Discovery

Technology impacts every aspect of our work and lives. It is imperative that technology is built responsibly to reduce differential effects on various populations. At IBM Research, we are working to ensure that the technologies we create promote beneficial outcomes for our clients and for the world.

Responsible Technology

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. 

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

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.

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.



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


Our researchers seek to answer some of the most fundamental questions. We strive for a greater understanding of how our world works and how we can harness that knowledge to advance science, mathematics, and computation.

Exploratory Science

Our work

From atoms to chips: Thermonat models heat with unprecedented accuracy

A new advance in a two-century pursuit in physics

The quest to teach LLMs how to count

Leading the way in open Earth observation AI

Introducing Thinking-in-Modalities with TerraMind

AI-powered satellites will upend how we observe our changing planet

Topics

Computer Science

Mathematical Sciences

Physical Sciences

Responsible Technology

Publications

In-depth Analysis of LLM-based Schema Linking

Eliminating Redundancy: Ultra-compact Code Generation for Programmable Dataflow Accelerators

Enabling Spill-Free Compilation via Affine-Based Live Range Reduction Optimization

Enterprise Class On-Chip Accelerator Integration

STAR-VAE: Latent Variable Transformers for Scalable and Controllable Molecular Generation

From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production