Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

A group of researchers have developed an algorithm designed to prevent threat actors from disrupting quantum communication channels across an entire network. Researchers from Italy's Politecnico di ...

Humans are better than current AI models at interpreting social interactions and understanding social dynamics in moving scenes. Researchers believe this is because AI neural networks were inspired by ...

Researchers at Ben-Gurion University of the Negev have developed a machine-learning algorithm that could enhance our understanding of human biology and disease. The new method, Weighted Graph ...

Novel artificial neurons learn independently and are more strongly modeled on their biological counterparts. A team of researchers has programmed these infomorphic neurons and constructed artificial ...

Abstract: The circuits of high-power vacuum electron devices (HPVEDs) typically possess complex topologies that are crucial for efficiently converting electron beam energy to microwave energy. Due to ...

Assessing the lethal resistance levels of buildings during earthquakes is crucial for reducing disaster losses and human casualties. This study proposes a novel model that integrates an improved ...

Abstract: Agile imaging satellites play important roles in gathering Earth surface information due to their expansive field-of- view, high-resolution observations, and flexibility in observation ...

1 Energy, Materials and Methods Research Laboratory, National High Polytechnic School of Douala, Douala, Cameroon. 2 National Advanced School of Engineering, University of Yaounde I, Yaounde, Cameroon ...

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...