For decades, scientists have mapped attention, memory, language, and reasoning to separate brain networks — yet one big mystery remained: why does the mind feel like a single, unified system?
A new study by York University researchers has found a potential striking flaw in artificial intelligence (AI) models. Artificial neural networks (ANNs), a type of AI model built to solve vision tasks ...
Understanding the brain mechanisms underlying complex human cognition is a major objective in neuroscience. Previous studies have identified neural correlates of intelligence at different temporal and ...
Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...
A billion-dollar industry has grown up around our desire to be more intelligent. But is it really possible to make yourself smarter? Oliver Burkeman investigates ...
Precision neurostimulation leverages AI and closed-loop feedback, delivering tailored treatments for neurological disorders ...
Oregon State University researchers have developed a brain-inspired phototransistor that combines light sensing, memory, and ...
A tiny change at the boundary between two oxide layers may point to a less power-hungry future for artificial intelligence. Researchers led by the University of Cambridge have built a nanoelectronic ...