MIT’s TX-GAIN: Transforming AI Research with Unmatched Supercomputing Power MIT Lincoln Laboratory is poised to accelerate artificial intelligence breakthroughs with the fastest university-based AI supercomputer in the U.S. thanks to the launch of TX-Generative AI Next (TX-GA... artificial intelligence biodefense collaboration cybersecurity energy efficiency generative AI MIT research supercomputing
How MIT’s Adaptive Reasoning Makes AI Smarter and Greener MIT researchers have unveiled a breakthrough method that enables large language models (LLMs) to dynamically manage their computational resources according to the challenge at hand. This leap in effic... adaptive reasoning artificial intelligence energy efficiency large language models machine learning process reward model uncertainty calibration
Microsoft’s Analog Optical Computer: Illuminating the Next Era of AI and Problem Solving Computers that harnesses the speed of light to solve complex problems in a fraction of the time and energy it takes today are no longer science fiction. Microsoft researchers are forging ahead with an... AI analog computing energy efficiency finance healthcare machine learning optical computer optimization