Alessandro Curioni

Michael Johnston

Benedikt Blumenstiel

Alessandro Pomponio

Johannes Jakubik

Mike Murphy

Jay Gambetta

Kim Martineau

Research

Technical note

Deep Dive

Release

IBM’s Dmitry Krotov wants to crack the ‘physics’ of memory

Opening a new era in algorithmic development

Towards a generative future for computing

Here comes a foundation model for the Sun

Introducing ado: The accelerated discovery orchestrator

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

Introducing Thinking-in-Modalities with TerraMind

Foundation Models

Generative AI

Exploratory Science

Physical Sciences

Computer Science

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.

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.



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

Introducing Thinking-in-Modalities with TerraMind

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

Introducing ado: The accelerated discovery orchestrator

Here comes a foundation model for the Sun

Towards a generative future for computing

Opening a new era in algorithmic development

Topics

Computer Science

Mathematical Sciences

Physical Sciences

Responsible Technology

Publications

Stable iterative refinement for solving linear systems with inaccurate computation

5th Wikidata Workshop

Highlight All the Phrases: Enhancing LLM Transparency through Visual Factuality Indicators

Disciplinary Practices in the Generation of Text Synthetic Data: A Critical Discourse Analysis

TerraMind: Large-Scale Generative Multimodality for Earth Observation

Online Safety for All: Sociocultural Insights from a Systematic Review of Youth Online Safety in the Global South