South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

In her 35 years as a psychologist, NTNU researcher Audrey van der Meer has studied everything from baby swimming to what ...

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...

A new platform, Moltbook, claims to host 1.4 million AI agents in a closed society. Discover why this "hive mind" signals a ...

A new study from the University at Albany shows that artificial intelligence systems may organize information in far more ...

Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and ...

Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.

Abstract: Selecting targets to attack and assigning weapons are among the most critical decisions on the battlefield. The decision problem is represented as a dynamic weapon-target assignment (DWTA) ...

Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...

Modern neuroscience and the computational modeling of the activities of vast, integrated neural networks provide fruitful accounts of how our minds work and learn.