MIT researchers discovered quasars from more than 13 billion years ago, challenging existing models by showing some in sparsely populated regions, inconsistent with predictions about early galaxy formation.

Ambience Healthcare launched an AI platform to automate clinical tasks and reduce paperwork for physicians, already adopted by leading institutions, as reported by MIT News.

MIT researchers have developed a 3D-printed polymer fused with copper nanoparticles, for use in resettable fuses, advancing potential in electronics manufacturing.

MIT economists Daron Acemoglu and Simon Johnson, with political scientist James Robinson, won the 2024 Nobel Prize in Economic Sciences for work on the relationship between political systems and economic growth.

Scientists at MIT and Vanderbilt discovered how anesthesia impairs the brain's predictive cognition by disrupting communication between sensory and cognitive regions.

MIT researchers developed magnetic nanodiscs for non-invasive brain stimulation, potentially offering an alternative to surgical treatments for neurological disorders.

MIT and TU Delft researchers developed a dual-nozzle 3D printing method allowing efficient, waste-reducing production of customized, multicolored, and textured objects through speed-modulated ironing.

MIT study finds human-caused mercury emissions are declining by 10% over the Northern Hemisphere from 2005-2020, challenging previous reports of increases.

MIT engineers developed a battery-free, solar-powered desalination system that adapts to sunlight changes and can produce 5,000 liters of clean water daily.

Two Massachusetts professors won the Nobel Prize in medicine for their groundbreaking discovery of microRNA, advancing genetics and disease treatment.

MIT researchers found that the cancer drug 5-FU works by interfering with RNA, not DNA synthesis, as was long believed, particularly in gastrointestinal cancers.

UMass Amherst's Professor Alexandra Pope leads a NASA-selected team to develop the PRIMA space mission, aimed at studying unexplored cosmic wavelengths and advancing our understanding of the universe's evolution.

MIT's CSAIL has developed an AI-based simulation improvement for various fields using smarter low-discrepancy sampling techniques, enhancing accuracy with GNNs.