Published in our recent ICASSP 2020 paper in which we successfully shorten the training time on the 2000-hour Switchboard dataset, which is one of the largest public ASR benchmarks, from over a week to less than two hours on a 128-GPU IBM high-performance computing cluster. To the best of our knowledge, this is the fastest training time recorded on this dataset.
At IBM Research’s recent “The Path to More Flexible AI” virtual roundtable, a panel of MIT and IBM experts discussed some of the biggest obstacles they face in developing artificial intelligence that can perform optimally in real-world situations.
IBM Mono2Micro application modernization efforts take another step forward with the release of an updated beta version that automatically generates API services and related code to activate Mono2Micro microservice recommendations.
The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), the premiere annual conference on AI and language, takes place July 5-10. As is the case with most events currently, ACL will be virtual this year due to COVID-19. At IBM Research AI, we’re excited to share with you — wherever you might be in the world — all the work […]
Novel drug design is difficult, costly and time-consuming. On average, it takes $3 billion and 12 to 14 years for a new drug to reach market. One third of this overall cost and time is attributed to the drug discovery phase requiring the synthetization of thousands of molecules to develop a single pre-clinical lead candidate. […]
In the May issue of Communications Biology features a new paper that was done in collaboration with Prof. Miles Whittington of Hull York Medical School (U.K.) and his group. In this new paper, we describe the likely cellular mechanism of the oldest known EEG (electroencephalogram) rhythm: the alpha rhythm, at around 10 cycles per second. […]
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.
The 45th International Conference on Acoustics, Speech, and Signal Processing is taking place virtually from May 4-8. IBM Research AI is pleased to support the conference as a bronze patron and to share our latest research results, described in nine papers that will be presented at the conference.
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.