Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Uptime Institute warns that the gap between data center construction timelines and power infrastructure availability will ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework that enables accurate thermal field inversion in chiplet-based packaging ...

Regulatory milestones, including EU Digital Product Passport, sustainability pressures, and need to ensure transparency will ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...

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

Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...

Trends such as industry-specific AI and a new data economy will affect physical AI in 2026, says a Universal Robots executive ...