From high-wind forecasts and wildfire behavior to floods, aviation hazards, air quality and space weather, science developed ...

Most people can imagine why a shrinking Great Salt Lake would mean unhealthy dust storms for the Wasatch Front, or why refilling the lake through water conservation could reduce dust exposure. Now, ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

The end of production for the Nissan Versa means there are no new cars priced under $20,000 — a blow to some Americans who may find themselves priced out of the market.

Dataiku’s field chief data officer for Asia-Pacific and Japan discusses how implementing AI governance can accelerate ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

X released a new world model that it says is a solid step toward its robots being able to teach themselves new tasks.

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Hyperscale data centers are now powering AI models with a revolutionary architecture—at a staggering energy cost.

To prepare AI agents for office work, the company is asking contractors to upload projects from past jobs, leaving it to them ...

The ATT&CK Data Model (ADM) provides a type-safe, object-oriented interface for working with MITRE ATT&CK datasets. Built on STIX 2.1 compliance, it uses Zod schemas and TypeScript types to ensure ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...