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

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

Reliable predictions of how the Earth's climate will respond as atmospheric carbon dioxide levels increase are based on ...

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

Most calls to “tax AI” start from a near‑term fear: automation displaces workers, payroll-tax revenue falls, and governments ...

VTOL noise is emerging as the key constraint on urban air mobility, shaping aircraft design, routing, vertiport planning and ...

Industry data shows 5,400% increase in fractional leadership adoption as CMO tenure drops below three years and AI ...

This article was originally published at The Conversation. The publication contributed the article to Space.com's Expert Voices: Op-Ed & Insights. Google recently unveiled Project Suncatcher, a ...

Media coverage highlights the potential risks associated with data centers, including grid stability and environmental impacts. Policymakers are enacting measures like moratoriums and revised approval ...

For years, one of the biggest barriers to effectively implementing artificial intelligence (AI) into clinical trial data management has been a lack of trust in its capabilities. Although this concern ...

Data is undoubtedly a key asset today, but all it takes is a breach to turn it into a dreaded liability. With more data generated than ever, organizations have a hard time tracking and storing it.