A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...

Abstract: To enable accurate and resource-efficient hardware implementation of fractional-order neural networks for neuromorphic computing, an optimized hardware architecture for field programmable ...

Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...

Using machine learning, Johns Hopkins researchers identified healthy and unhealthy patterns based on electrical activity.

Physicist Arvind Murugan earns Schmidt Science Polymath award for work at intersection of physics, biology, computation and materials science ...

Visual selective attention, the ability to allocate limited processing capacity towards the most relevant sensory stimuli, is essential for survival in ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

"Our hope is that in the future we can not only confirm a patient is schizophrenic or bipolar from brain organoids, but that we can also start testing drugs on the organoids to find out what drug ...

Abstract: This paper introduces a novel surrogate modeldriven strategy to solve dynamic multi-objective optimization problems (DMOPs) with time-varying objective functions. This strategy holds promise ...

On Thursday, September 18, 2025, just after completing a state visit to the UK, Donald Trump addressed reporters on board Air Force One and took a familiar poke at Kimmel, venting about the host's ...