Researchers at UMass Amherst have developed a robotic hip exoskeleton to help stroke survivors improve walking abilities and address walking asymmetry.

MIT scientists analyzed the orientation of Martian rocks collected by NASA's Perseverance rover, which may help unlock Mars' magnetic history and past habitability.

MIT startup Lightmatter has raised $300 million to develop photonic technology for faster and more efficient computing chips, potentially transforming future data centers and AI models.

The study indicates complex grammar processing issues, rather than memory loss, could be an early dementia sign, suggesting new cognitive biomarkers for detection.

MIT researchers and international partners have developed a method to enhance perovskite solar cells' efficiency and longevity, offering an alternative to silicon solar panels.

UMass Amherst scientists suggest that carbonate buffering in streams and lakes contributes significantly to CO2 emissions, a factor not fully accounted for in climate models.

MIT researchers have developed an AI model to enhance robot navigation in warehouses, enabling a smoother and faster flow of operations and potentially transforming supply chain logistics.

Harvard student Sungjoo Yoon exposed Rice Purity Test scores from the Datamatch service to highlight data security flaws. Datamatch is investigating and has secured profiles.

MIT alumni develop Pienso, an AI platform allowing non-coders to build AI models, initially aiding social content moderation and now expanding into various sectors.

MIT engineers have 3D printed solenoids, potentially transforming electronic manufacturing by enabling cost-effective, on-demand production that circumvents traditional constraints.

Researchers propose that the brain expansion in ancestral humans might have been fueled by fermented foods, challenging the long-held belief that cooked food provided the necessary calories.

MIT researchers have developed a method to control a two-dimensional magnet at room temperature, promising advancements in energy-efficient computing.

Harvard physicists have successfully created a new phase of matter called non-Abelian topological order, opening potential advancements in stable quantum computing.