Blockchain technologies are digital systems that work by distributing copies of information across several computers, also ...

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 ...

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

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...

Predicting local weather extremes remains one of the greatest hurdles in meteorology, which requires high-resolution, reliable humidity data.

Startup radar: Electric trailers, audio detection, onboarding agents, construction communication by Taylor Soper on August 8, 2025 at 7:30 am Share Reddit ...

Text mining has emerged as a powerful strategy for extracting domain knowledge structure from large amounts of text data. To date, most text mining methods are restricted to specific literature ...

At the global level, the system identifies the most influential variables driving predictions, such as the credibility of the information source, framing signals, or linguistic complexity. At the ...

He launched a collaboration in 2018 with two AI experts at MIT to develop deep learning models that can screen chemicals for antibiotic activity.