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MIT-IBM Computing Research Lab

@MITIBMLab

A collaborative industrial-academic laboratory focused on charting the convergence of AI, algorithms, and quantum computing.
Cambridge, MA mitibm.mit.edu Joined February 2019
690 Following 7.6K Followers 691 Posts

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MIT-IBM Computing Research Lab @MITIBMLab
MIT and IBM will expand our collaboration: The MIT-IBM Computing Research Lab will seek to leverage hybrid quantum and classical computing, with advanced algorithms and AI, to solve challenging problems in fundamentally new ways. news.mit.edu/2026/mit-ibm-c…
news.mit.edu The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computing IBM and MIT announced the launch of the MIT-IBM Computing Research Lab, advancing their long-standing collaboration to shape the next era of computing that combines AI, algorithms, and quantum...
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MIT-IBM Computing Research Lab @MITIBMLab
An AI system, developed by researchers at MIT and elsewhere, automatically matches one patient’s X-rays with 3D scans in a matter of seconds, and with sub-millimeter precision, aiding surgical navigation in fields such as orthopedics and neurosurgery.
news.mit.edu/2026/new-ai-te…
news.mit.edu New AI technique could make minimally invasive surgeries safer and more precise Researchers designed an AI-driven system that could boost the safety and speed of minimally invasive surgical procedures by rapidly matching X-rays captured during surgery with a patient’s preopera...
MIT-IBM Computing Research Lab @MITIBMLab
The new ChartNet training dataset from MIT and @MITIBMLab could improve the accuracy of vision-language models that help analyze business trends or interpret scientific figures.

news.mit.edu/2026/mit-resea…
news.mit.edu MIT researchers teach AI models to interpret charts Researchers used a novel data generation pipeline to build ChartNet, a large synthetic dataset of chart images paired with corresponding information. They used this training dataset to improve the...
MIT-IBM Computing Research Lab @MITIBMLab
A new method from MIT, the MIT-IBM Watson AI Lab, and others could increase the training efficiency of large language models: By leveraging idle computing time, it can double the speed of model training while preserving accuracy.
news.mit.edu/2026/new-metho…
news.mit.edu New method could increase LLM training efficiency A new technique leverages computing downtime to accelerate the training process for reasoning large language models (LLMs) without any additional computational overhead.