MIT researchers have developed a light technique that speeds up particle size monitoring in drug manufacturing by 60 times, reducing process times from 15 seconds to a quarter-second.

Two teens were arrested after a shooting in Akron, which injured one woman. Police are searching for additional suspects and have released a video for public assistance.

Cub Pharmacy is offering flu and pneumonia shots at the Mary Ann Young Center on September 30, from 9-11 AM, with insurance cards required for coverage.

The MIT Entrepreneurship JetPack, an AI tool developed by MIT's Trust Center, provides real-time, strategic business advice to entrepreneurs, streamlining research and planning processes.

Maricopa's IT Department ensures city services run smoothly, having implemented high-speed internet, cloud software, and robust Wi-Fi areas, with a focus on fiscal efficiency.

St. Augustine invites residents to a public open house to discuss high-tech infrastructure projects targeting traffic, parking, and safety at City Hall on September 26.

The MIT study suggests that a two-dose HIV vaccine schedule may be as effective as a seven-dose regimen, potentially improving vaccine efficacy and practicality.

UMass Amherst researchers found a potential link between brown adipose tissue activity and menopausal hot flashes, also influenced by childhood cold exposure.

The Love's Planetarium opened at Science Museum Oklahoma, featuring the most 4K projectors in a U.S. planetarium and free celestial shows with admission.

California introduces driver's licenses and state IDs in Apple Wallet, available to 1.5 million participants, emphasizing convenient and secure digital identification.

MIT engineers have created 3D-printed, interlocking recycled glass bricks for sustainable construction, resembling LEGO pieces in their reusability, which may revolutionize the industry by reducing resource use and emissions.

AI is being used by ORNL researchers to find new alloys for nuclear fusion reactors, streamlining the material discovery process away from traditional trial and error methods.

An MIT and Penn State study revealed that AI surveillance systems may show inconsistent outcomes and racial bias, raising concerns and calling for a re-evaluation of AI deployment in high-stakes areas.