Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

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

The core of quantum network research lies in efficiently and reliably establishing entanglement between nodes; however, the challenges of maintaining fragile quantum states are far more complex than ...

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

Against this backdrop, as the Fourth Industrial Revolution deepens, 'AI + learning' is gradually becoming a new choice for ...

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

Academic skepticism and business frustration have triggered past AI winters. This time, both factors are present. But there ...

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

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

A whole-body control foundation model could help launch humanoid robots toward general-purpose capability, says Agility ...