New York AG announces settlement with National Amusements for $250,000 over inadequate employee data protection, following a breach impacting over 23,000 NY workers.

ANS awarded Arnold Lumsdaine and Walid Metwally from ORNL's Fusion and Fission Energy and Science Directorate with Presidential Citations for their nuclear sector contributions.

Kunal Singh, an MIT PhD candidate, explores counterproliferation strategies in his research to prevent nuclear weapons spread, offering insights for policymakers.

Oak Ridge National Laboratory and Sierra Space Corporation have developed a new reusable thermal protection system for spacecraft that withstands multiple atmospheric re-entries.

Harvard researchers have developed a new gene editing technique called Helicase-Assisted Continuous Editing (HACE), allowing precise mutations in specific genes, enhancing targeted genetic research.

ORNL's supercomputer Frontier trains AI to design new proteins, potentially advancing medical and environmental solutions, with results earning a Gordon Bell Prize nomination.

Teletrix acquires a commercial license for VIZRAD AR, an AR platform developed with technologies from ORNL, enhancing radiation safety training through realistic simulations.

A new species of mining bee, Andrena androfovea, has been discovered in Oklahoma and Texas, with significant implications for local biodiversity and pollination.

Howard County has launched a Vulnerability Disclosure Program in partnership with HackerOne to identify and address cyber threats, being the first in the state to do so, enhancing protection across various critical systems.

ORNL's supercomputer Frontier has trained ORBIT, an advanced AI model, to deliver highly accurate weather predictions, from short-term to a month in advance.

SiPhox Health, co-founded by MIT researchers, is developing a home-based blood testing device using silicon photonic chips to streamline chronic illness monitoring.

Oak Ridge National Laboratory's PCAT facility is testing new power line technologies to help increase the capacity and efficiency of the U.S. power grid in response to rising demands and the effects of extreme weather.

The University of Maryland research team has been nominated for the Gordon Bell Prize for their work on AxoNN, a framework for training AI models on supercomputers.