The subject of latest news on artificial intelligence encompasses a wide range of important elements. Artificialintelligence | MIT News | Massachusetts Institute of Technology. Understanding the nuances of human-like intelligence Associate Professor Phillip Isola studies the ways in which intelligent machines “think,” in an effort to safely integrate AI into human society. Machine learning | MIT News | Massachusetts Institute of Technology. What does the future hold for generative AI? Hundreds of scientists, business leaders, faculty, and students shared the latest research and discussed the potential future course of generative AI advancements during the inaugural symposium of the MIT Generative AI Impact Consortium (MGAIC) on Sept.
Vertical Semiconductor, an MIT spinoff, is working to “commercialize chip technology that can deliver electricity to artificial intelligence servers more efficiently,” reports Stephen Nellis for Reuters. Another key aspect involves, new hardware offers faster computation for artificial intelligence .... A new area of artificial intelligence called analog deep learning promises faster computation with a fraction of the energy usage. Programmable resistors are the key building blocks in analog deep learning, just like transistors are the core elements for digital processors. Checking the quality of materials just got easier with a new AI tool Acting as a “virtual spectrometer,” SpectroGen generates spectroscopic data in any modality, such as X-ray or infrared, to quickly assess a material’s quality.
Similarly, october 14, 2025 Read full story Using generative AI, researchers design compounds that can ... This perspective suggests that, with help from artificial intelligence, MIT researchers designed novel antibiotics that can combat a drug-resistant form of Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA).
Robotics | MIT News | Massachusetts Institute of Technology. Displaying 1 - 15 of 572 news articles related to this topic. This perspective suggests that, aI accelerates problem-solving in complex scenarios - MIT News. In this context, researchers from MIT and ETZ Zurich have developed a new, data-driven machine-learning technique that speeds up software programs used to solve complex optimization problems that can have millions of potential solutions. Their approach could be applied to many complex logistical challenges, such as package routing, vaccine distribution, and power grid management. Teaching AI models what they don’t know - MIT News.
A team of MIT researchers founded Themis AI to quantify artificial intelligence model uncertainty and address knowledge gaps.
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