Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

Using spatial transcriptomics and AI, researchers redefined the mouse brain’s geography, uncovering hundreds of new ...

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...

Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

Quantum information systems, systems that process, store or transmit information leveraging quantum mechanical effects, could ...

In a recent article published in the journal Engineering, researchers presented a comprehensive review of the fast-growing ...

SALT LAKE CITY, Oct. 21, 2025 /PRNewswire/ -- ARUP Laboratories today announced the publication of an article in the Journal ...