MIT startup Striv developed a shoe sole that records biomechanical data to optimize athletes’ performance and prevent injuries, with potential use in the Paris 2024 Olympics.

MIT spinout Arnasi Group is now applying their non-stick technology, formerly used for ketchup bottles, to medical applications, starting with a product to assist ostomy patients.

MIT scientists have created a high-speed, durable, and energy-efficient transistor using a unique ultrathin ferroelectric material that could transform electronics.

Steward Health Care to close Carney Hospital and Nashoba Valley Medical Center by August 31, amid bankruptcy and lack of bids, provoking local discontent and potential legal issues.

MIT engineers developed a clean hydrogen fuel production method using treated aluminum cans and seawater, with caffeine speeding up the process. This could revolutionize sustainable energy in maritime applications.

MIT engineers have identified material traits to increase the efficiency of green tech such as fuel cells and electrolyzers, with potential energy and computing applications.

MIT researchers have found that large language models (LLMs) don't always align with human expectations, highlighting gaps in our ability to predict when they'll succeed or fail.

MIT and ETH Zurich researchers created an AI to identify breast tumor stages, which could reduce overtreatment of DCIS. The model, detailed in Nature Communications, analyzes cell patterns in tissue images.

MIT alum's startup, Cleana, created a self-lifting, antibacterial toilet seat to improve public restroom hygiene, now in places like Gillette Stadium, and is developing a version for homes.

The article describes a widespread Microsoft outage that affected various sectors in Massachusetts, including Boston Logan Airport, MBTA services, hospitals, and businesses, with a focus on the disruptions and responses to the incident.

MIT is proactively developing strategies against the impact of rising extreme heat due to climate change, involving research, local data collection, and community input to ensure campus resilience.

A Harvard study suggests that Google's search results exhibit "language bias," showing different perspectives on a topic based on the language of the query.

Researchers from MIT and other institutions developed a machine learning model to accelerate the prediction of materials' thermal properties, which could enhance energy efficiency and microelectronics.