MIT researchers' study on deep neural networks shows a strong similarity to human auditory processing, which could improve hearing aids and other auditory devices.

Two women from New York were charged with stealing over 4,600 gift cards from a Braintree pharmacy, believed to be part of a larger scam ring that drains card values quickly.

A gene-editing trial targeting high cholesterol showed promise, reducing LDL levels by up to 55%, but the safety and long-term effects remain concerns. The trial had a small sample size and did not have a control group.

MIT mathematicians replicated quantum behavior in a macro-scale experiment with silicone oil droplets, offering new insights into quantum mechanics with potential technological applications.

Boston University's CTE Center is examining the brain of Robert Card, the suspected Lewiston shooter, to investigate potential links between his military service and mental health issues.

MIT researchers have created a cost-effective, 3D-printed microfluidic device with self-heating capability, potentially transforming disease detection.

MIT researchers have developed a new method for incorporating two-dimensional materials into electronics without damaging them, promising advancements in high-performance devices.

MIT engineers have created a robotic replica of the right ventricle of the human heart, aiding in the study of heart disorders and the testing of cardiac devices.

The FDA approves a new gene therapy, Casgevy, for sickle cell disease in patients aged 12 and older, along with a second treatment, Lyfgenia, offering new options for this life-threatening disorder.

MIT researchers have developed an automated system to help professionals discern when to trust AI assistance, potentially improving human-AI collaboration accuracy by 5%.

UMass Amherst's IT department has introduced a quick self-registration service for campus guests to access the wireless network via PIN received through text.

UMass Amherst researchers developed a grassroots ecological framework focusing on local engagement for environmental management, as detailed in PLOS ONE, and applied it to the Lake Yojoa watershed in Honduras.

MIT engineers have developed a machine learning method to accurately predict material surface behaviors, aiding industries like catalysts and batteries.