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 […]
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.
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.
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.
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.
IBM researchers present their latest work in human-computer interaction (HCI), which focuses on improving the interaction between humans and AI systems.
IBM AI researchers are responsible for developing many of the NLP capabilities IBM has brought to market. With the announcement that IBM will begin integrating NLP features developed for Project Debater into Watson, IBM Research once again delivers unique technology from the lab to the enterprise.
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.
A new study in JAMA Network Open highlights how AI can improve the accuracy of breast cancer screenings in combination with assessments from radiologists.
The team at the IBM-MIT Watson AI Lab presented a new study at the AAAI Conference on AI, Ethics, and Society on “Learning Occupational Task-Shares Dynamics for the Future of Work” that shows how to predict changes in the economy’s demand for different tasks.
IBM Research had 21 papers accepted to SPIE, and throughout the four-day conference IBM researchers will present on topics ranging from EUV lithography, patterning materials, etch, selective deposition, and novel device integration.