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 ...

El Niño-Southern Oscillation (ENSO) is the strongest interannual variability signal in Earth's climate system. The shifts ...

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

Criminals can use artificial intelligence, specifically large language models, to autonomously carry out ransomware attacks ...

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 ...

Digital transactions have emerged as a dominant force in today’s global commerce sector, empowering businesses and financial institutions like never before. However, at the ...

This paper performs a valuable critical reassessment of anatomical and functional data, proposing a reclassification of the mouse visual cortex in which almost all the higher visual areas are ...

In June, Google DeepMind took the wraps off AlphaGenome, its latest machine learning model for biological discovery. While ...

Researchers developed a pest detection system for farms using existing image recognition tech and a statistical method to reduce computing needs. It accurately identified 19 pest types with 99.99% ...