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 ...

How the Power System Vulnerability Index Works The PSVI was built using explainable A.I., a machine learning method that weighs outage frequency, intensity, and duration to produce a county-by ...

Machine learning is a mathematical construct that is the foundation for nearly all the advancements in AI. ML came first, but ...

However, simulating these systems is extremely complex. Traditional methods rely on mathematical functions that must be smooth and differentiable. This limits the types of models that can be ...

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

This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...