Enterprise data masking tools help organizations protect sensitive data while still making it usable for testing, analytics, ...

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

Reservoir performance specialist Ndubuisi Ezumba discusses how deepwater well-testing teams manage operational uncertainty, ...

Abstract: Recently, test-time adaptation has attracted wide interest in the context of vision-language models for image classification. However, to the best of our knowledge, the problem is completely ...

American car enthusiasts have an unquenchable thirst for cheap speed, but in these post-pandemic days it feels farther away than ever as the average price of a new car reaches all-time highs. An ...

On Tuesday, Donald Trump finally signed his executive order expanding the government’s efforts to conduct voluntary safety testing of frontier AI models. Now, critics are warning that the order may be ...

Today, developers and security teams are caught in growing tension. AI is accelerating development and introducing new issues around insecure code, opaque models, data exposure, and compliance. Add ...

Get the latest federal technology news delivered to your inbox. White House officials are planning a provision in a forthcoming artificial intelligence executive order that would establish a voluntary ...

Tesla's Model Y became the first automobile to pass the U.S. National Highway Traffic Safety Administration's ‘Advanced Driver Assistance System’ tests, the agency said. NHTSA, which is part of the ...

State leaders and Department of Civil Service officials at a ribbon-cutting for the new computer-based testing center in Cohoes on Wednesday. “We are opening the door for people to come in, a door to ...

May 5 (Reuters) - Microsoft, Google and Elon Musk’s xAI agreed to give the U.S. government early access to new artificial intelligence models for national security testing, as U.S. officials grow ...

Pairing VL-PRMs trained with abstract reasoning problems results in strong generalization and reasoning performance improvements when used with strong vision-language models in test-time scaling ...