In recent years, scientists have found that machine learning–based weather models can make weather predictions more quickly ...

Japanese researchers employed machine learning to develop a wireless power transfer system that remains stable under any load ...

Annually, tens of thousands of wildfires ravage the United States, posing significant threats to people, wildlife, and infrastructure. A percentage of those wildfires are caused by degraded or downed ...

K-Means Algorithm, Influenza Transmission, Cluster Analysis, Urban Characteristics Share and Cite: Ye, S. (2025) Application ...

Researchers from Morocco, the UAE, Egypt, Italy, and South Africa have developed a low-cost IoT- and fuzzy logic–based irrigation system that dynamically adjusts watering using real-time soil and ...

What’s really interesting is how BMW has managed to get approval for both a Level 2 system, called the Highway Assistant, and ...

Nuclear energy is widely recognized as one of the most promising clean energy sources for the future, but its safe and ...

Experts say effective integration means designing AI use that complements, not replaces, the mental effort required for lasting learning. Research on "desirable difficulties" shows that when learning ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...