Printable aluminum alloy sets strength records, may enable lighter aircraft parts
MIT engineers have developed a printable aluminum alloy that can withstand high temperatures and is five times stronger than traditionally manufactured aluminum. The new printable metal is made from a mix of aluminum and other elements that the team identified using a...
New prediction model could improve the reliability of fusion power plants
Tokamaks are machines that are meant to hold and harness the power of the sun. These fusion machines use powerful magnets to contain a plasma hotter than the sun’s core and push the plasma’s atoms to fuse and release energy. If tokamaks can operate safely and...
AI maps how a new antibiotic targets gut bacteria
For patients with inflammatory bowel disease, antibiotics can be a double-edged sword. The broad-spectrum drugs often prescribed for gut flare-ups can kill helpful microbes alongside harmful ones, sometimes worsening symptoms over time. When fighting gut inflammation,...
Lincoln Lab unveils the most powerful AI supercomputer at any US university
The new TX-Generative AI Next (TX-GAIN) computing system at the Lincoln Laboratory Supercomputing Center (LLSC) is the most powerful AI supercomputer at any U.S. university. With its recent ranking from TOP500, which biannually publishes a list of the top...
Martin Trust Center for MIT Entrepreneurship welcomes Ana Bakshi as new executive director
The Martin Trust Center for MIT Entrepreneurship announced that Ana Bakshi has been named its new executive director. Bakshi stepped into the role at the start of the fall semester and will collaborate closely with the managing director, Ethernet Inventors Professor...
Responding to the climate impact of generative AI
In part 2 of our two-part series on generative artificial intelligence’s environmental impacts, MIT News explores some of the ways experts are working to reduce the technology’s carbon footprint. The energy demands of generative AI are expected to continue increasing...
AI system learns from many types of scientific information and runs experiments to discover new materials
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables. Compare that with human scientists, who work in a collaborative...
New AI system could accelerate clinical research
Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images. For instance, to determine how the size of the brain’s hippocampus...
Improving the workplace of the future
Whitney Zhang ’21 believes in the importance of valuing workers regardless of where they fit into an organizational chart. Zhang is a PhD student in MIT’s Department of Economics studying labor economics. She explores how the technological and managerial decisions...
MIT affiliates win AI for Math grants to accelerate mathematical discovery
MIT Department of Mathematics researchers David Roe ’06 and Andrew Sutherland ’90, PhD ’07 are among the inaugural recipients of the Renaissance Philanthropy and XTX Markets’ AI for Math grants. Four additional MIT alumni — Anshula Gandhi ’19, Viktor Kunčak SM ’01,...