Youssef Mroueh

Katia Moskvitch

Chuang Gan

Abhishek Bhandwaldar

Dan Gutfreund

Hironobu Takagi

Masaki Kuribayashi

Seita Kayukawa

Chieko Asakawa

News

Research

Release

IBM is developing an AI-powered IoT solution to manage and help monitor aging infrastructure

Artificial intelligence, drones and sensors set to save our crumbling infrastructure

 Image captioning as an assistive technology

 MIT and IBM announce ThreeDWorld Transport Challenge for physically realistic Embodied AI

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

ICASSP 2022

CVPR 2022

EuroVis 2022

Trusted AI

Trustworthy Generation

AI for Asset Management

Computer Vision

Human-Centered AI

Computer Science

We’re helping reinvent how enterprises manage their assets, including automating anomaly detection, failure patterns, and sensor data. We’re creating AI that fuses noisy sensor data, images, and text from operator logs and repair manuals to enable intelligent workflows with natural-language explanations.

Modern computer vision systems have superhuman accuracy when it comes to image recognition and analysis, but they don’t really understand what they see. At IBM Research, we’re designing AI systems with the ability to see the world like we do.

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

Using AI and the hybrid cloud to accelerate the discovery of climate mitigation and adaption solutions to respond to the growing global climate emergency.

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 see Neuro-symbolic AI as a pathway to achieve artificial general intelligence. By augmenting and combining the strengths of statistical AI, like machine learning, with the capabilities of human-like symbolic knowledge and reasoning, we're aiming to create a revolution in AI, rather than an evolution. 

Neuro-symbolic AI

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aerial photograph of a bridge with cars on it

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