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

A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep 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 ...

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.

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 ...

Now several companies are turning to an unexpected source for a solution: the bottom of the ocean. Called subsea desalination, the idea is to remove the salt from water in the deep sea.

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.