Stanisław Woźniak

Hironobu Takagi

Masaki Kuribayashi

Seita Kayukawa

Chieko Asakawa

Research

Biologically-inspired deep learning predicts chords of Bach

New smartphone app to navigate blind people to stand in lines with distances

Science

Neuro-inspired AI to optimize learning and computing efficiency of next generation AI.

Neuromorphic computing

INFOCOM 2023

ESWC 2023

ICASSP 2023

SBSI 2023

Computer Vision

Human-Centered AI

Exploratory Science

Computer Science

AI Hardware

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. 

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.

AI systems are proliferating in everyday life, and it’s imperative to understand those systems from a human perspective. We design and investigate new forms of human-AI interactions and experiences that enhance and extend human capabilities for the good of our products, clients, and society at large. 

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.



Physical Sciences

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


Computer Science

Our work