Bidgely expands its intellectual property and launches first-of-its-kind vertical AI platform in its journey foundational ML ...

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

The study identifies a less visible but increasingly important countertrend: the rapid growth in energy consumption driven by AI itself. Training large machine learning models, running continuous ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

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

The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and machine learning (ML) are making waves with how they're increasing ...

EPFL researchers developed optimal pitch profiles for vertical-axis wind turbines using a genetic learning algorithm. The new pitch profiles resulted in a 200% increase in turbine efficiency and a 77% ...

Data centres are energy-hungry behemoths. Here's how Australia could promote the clean energy to support their growth.