MIT scientists have released a powerful, open-source AI model, called Boltz-1, that could significantly accelerate biomedical research and drug development. Developed by a team of researchers in the MIT Jameel Clinic for Machine Learning in Health, Boltz-1 is the first fully open-source model that achieves state-of-the-art performance at the level of AlphaFold3, the model from Google […]
Read MoreMetabolic imaging is a noninvasive method that enables clinicians and scientists to study living cells using laser light, which can help them assess disease progression and treatment responses. But light scatters when it shines into biological tissue, limiting how deep it can penetrate and hampering the resolution of captured images. Now, MIT researchers have developed […]
Read MoreMachine-learning models can fail when they try to make predictions for individuals who were underrepresented in the datasets they were trained on. For instance, a model that predicts the best treatment option for someone with a chronic disease may be trained using a dataset that contains mostly male patients. That model might make incorrect predictions […]
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Microplastics are an environmental hazard found nearly everywhere on Earth, released by the breakdown of tires, clothing, and plastic packaging. Another significant source of microplastics is tiny beads that are added to some cleansers, cosmetics, and other beauty products. In an effort to cut off some of these microplastics at their source, MIT researchers have […]
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Creating realistic 3D models for applications like virtual reality, filmmaking, and engineering design can be a cumbersome process requiring lots of manual trial and error. While generative artificial intelligence models for images can streamline artistic processes by enabling creators to produce lifelike 2D images from text prompts, these models are not designed to generate 3D […]
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The deep neural network models that power today’s most demanding machine-learning applications have grown so large and complex that they are pushing the limits of traditional electronic computing hardware. Photonic hardware, which can perform machine-learning computations with light, offers a faster and more energy-efficient alternative. However, there are some types of neural network computations that […]
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From Oct. 21 to 22, a delegation of 21 MIT students and one postdoc met in Washington for the 14th Executive Visit Days (ExVD). Organized by the MIT Science Policy Initiative (SPI) and the MIT Washington Office, ExVD enables students to engage with officials and scientists from federal agencies. Students are given a platform to form […]
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The MIT Press has released a comprehensive report that addresses how open access policies shape research and what is needed to maximize their positive impact on the research ecosystem. The report, entitled “Access to Science and Scholarship 2024: Building an Evidence Base to Support the Future of Open Research Policy,” is the outcome of a […]
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Fields ranging from robotics to medicine to political science are attempting to train AI systems to make meaningful decisions of all kinds. For example, using an AI system to intelligently control traffic in a congested city could help motorists reach their destinations faster, while improving safety or sustainability. Unfortunately, teaching an AI system to make […]
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MIT physicists have taken a key step toward solving the puzzle of what leads electrons to split into fractions of themselves. Their solution sheds light on the conditions that give rise to exotic electronic states in graphene and other two-dimensional systems. The new work is an effort to make sense of a discovery that was reported […]
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Large language models can do impressive things, like write poetry or generate viable computer programs, even though these models are trained to predict words that come next in a piece of text. Such surprising capabilities can make it seem like the models are implicitly learning some general truths about the world. But that isn’t necessarily […]
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The U.S. National Science Foundation (NSF) has selected MIT to lead a new Innovation Corps (I-Corps) Hub to support a partnership of eight New England universities committed to expanding science and technology entrepreneurship across the region, accelerating the translation of discoveries into new solutions that benefit society. NSF announced the five-year cooperative agreement of up […]
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Quantum computers hold the promise to emulate complex materials, helping researchers better understand the physical properties that arise from interacting atoms and electrons. This may one day lead to the discovery or design of better semiconductors, insulators, or superconductors that could be used to make ever faster, more powerful, and more energy-efficient electronics. But some […]
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