An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

UC Davis researchers have created a miniaturized microscope for real-time, high-resolution imaging of brain activity in mice.

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

In 540p-to-1080p comparisons, NSS improves stability and detail retention. It performs well in scenes with fast motion, ...

Discover how studying the breakdown of language following a stroke has finally revealed the hidden machinery of one of ...

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

Arm's answer to the NPU hype was to skip it entirely, instead focusing on improving AI targeted at the CPU and letting ...

The findings of this study are valuable, offering insights into the neural representation of reversal probability in decision-making tasks, with potential implications for understanding flexible ...

Abstract: Neural network algorithm (NNA) is a new type of population-based meta-heuristic algorithm, which is inspired by artificial neural networks. NNA is a result of the deep integration of ...