Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from ...

Neuromorphic computing, which mimics the human brain’s architecture and function, can be leveraged in edge computing to improve power efficiency, speed, and adaptability.

Their capability to encapsulate decision boundaries via relatively low-degree polynomials makes them invaluable in both practical applications—such as pattern recognition and neural network ...

Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

A Bayesian decoder was employed to calculate the posterior probabilities of all position bins. This method assumes that transient counts follow a Poisson distribution and combines transient counts and ...

In the rapidly growing Mobile AI era, ZTE positions itself at the vanguard, pioneering the deep integration of AI with radio ...

What does an AI say about the Creator, the soul, and its human origins? Can technology and spirituality converge?On the ...

The language capabilities of today's artificial intelligence systems are astonishing. We can now engage in natural conversations with systems like ChatGPT, Gemini, and many others, with a fluency ...

In his sci-fi novel, Runaround, Isaac Asimov introduced the three laws of robotics to explore the moral boundaries of machine ...

Scientists on the ATLAS experiment explored the polarization of W bosons to test the Higgs mechanism and gain a deeper ...

A study reveals that a single exercise session per month before the age of 50 keeps the brain younger at 70, delaying Alzheimer's disease.

The anterior temporal lobe (ATL) plays a key role in interpreting social hierarchies and facial emotions, offering insight into anxiety and mood disorders.