Artificial Intelligence

Iso-accuracy Deep Learning Inference with In-memory Computing

Can analog AI hardware support deep learning inference without compromising accuracy? Our research team at IBM Research Europe in Zurich thought so when we started developing a groundbreaking technique that achieves both energy efficiency and high accuracy on deep neural network computations using phase-change memory devices. We believe this could be a way forward in […]

Continue reading

IBM Research Pioneers Technologies Behind New AI for IT Capabilities

IBM is launching today a broad range of new AI-powered capabilities and services to help CIOs automate various aspects of IT development, infrastructure and operations, including IBM Watson AIOps and Accelerator for Application Modernization with AI. As is the case with much of IBM’s AI development, significant portions of the technologies underlying Watson AIOps and the Accelerator were born out of IBM Research. 

Continue reading

IBM Research Progresses Field of Human-Computer Interaction (HCI)

IBM Research's contributions to CHI 2020 focus on creating and designing AI technologies that center on user needs and societal values, spanning the topics of novel human-AI partnerships, AI UX and design, trusted AI, and AI for accessibility. 

Continue reading

IBM Research AI at ICLR 2020: Advancing Trusted, Secure and Precision-Focused AI

IBM Research AI plans to showcase more than a dozen papers at ICLR 2020 covering a diversity of topics including breakthroughs in ways of infusing common sense into AI, securing machine learning from adversarial attacks and maintaining precision of inferencing while reducing energy use.

Continue reading

IBM Releases Novel AI-Powered Technologies to Help Health and Research Community Accelerate the Discovery of Medical Insights and Treatments for COVID-19

IBM Research is making available multiple novel, free resources to help healthcare researchers, doctors and scientists around the world accelerate COVID-19 drug discovery.

Continue reading

Female IBM Researchers are helping AI overcome bias and find its voice

This month, we are highlighting the work of four women researchers at IBM who are pushing the frontiers of AI technology. Their efforts extend from work process automation to the design of ever more intelligent chatbots to the discovery of new, more effective antibiotics.

Continue reading

The path to the “perfect” analog material and system: IBM at IEDM and NeurIPS

Researchers from the IBM AI Hardware Center will showcase at IEDM and NeurIPS new analog devices, algorithmic and architectural solutions, a novel model training technique, and a full custom design.

Continue reading

Sobolev Independence Criterion

At NeurIPS 2019, IBM Research AI will showcase the “Sobolev Independence Criterion," a novel interpretable dependency measure that provides feature importance scores that can be used for controlling False Discovery Rate.

Continue reading

IBM Research AI at NeurIPS 2019

IBM researchers from our labs around the world will present more than 100 papers across regular sessions and workshops at NeurIPS. They are all focused on different core technologies and use cases of AI. And a number of them will be on display in booth #111 with demos scientists will be presenting throughout the week.

Continue reading

IBM Joins Stanford Human-Centered AI Institute’s Partner Program

IBM Research is the first founding corporate partner of the Stanford Institute for Human-Centered Artificial Intelligence.

Continue reading

IBM Research AI focuses on Human-Centered Data Science at CSCW

IBM Research AI's contributions at CSCW 2019 reflect its participation in defining the emerging academic sub-discipline of Human-Centered Data Science (HCDS).

Continue reading

New Research from the MIT-IBM Watson AI Lab Reveals How Work is Transforming

New empirical work from the MIT-IBM Watson AI Lab uncovers how jobs will transform as AI and new technologies continue to scale across business and industries. We created a novel dataset using machine learning techniques on 170 million U.S. job postings. The dataset and research, The Future of Work: How New Technologies Are Transforming Tasks, allow us to extract key insights into how AI is shaping the future of work.

Continue reading