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

Companies can gain a competitive edge with neurosymbolic AI by using the technology’s predictive power to enhance forecasting ...

Generative AI trains on copyrighted music without permission. Neural fingerprinting detects both AI-generated tracks and ...

Researchers in California have created a new diagnostic metric that can reportedly predict if a battery can successfully power a specific task. The proposed model could be used in electric vehicles, ...

Under the new entitlement and renewal agreement, Hoth Therapeutics has secured annual NVIDIA AI Enterprise Essentials licenses to support its GPU-powered infrastructure, enabling advanced machine ...

Therapeutic rescue: Echinacea extract and its active ingredient, dodeca-2E,4E,8Z,10Z-tetraenoic acid N-isobutyl amide, were shown to significantly alleviate stress-induced deficits in LTP.

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

Researchers at UCL Institute of Education, King's College London, Harvard T.H. Chan School of Public Health, and UCLA report ...

From Edison to Taylor Swift, the brain is a living phonograph—recording and replaying the grooves of memory, culture, and ...

As Nvidia Corp. announced new robotics innovations at last week’s Conference on Robot Learning in South Korea, the company ...

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

Introduction - What is a Cyber Arms Race? The Cyber Arms Race can trace its roots to 1949 when the Soviet Union tested their ...