Science Daily

AI may not need massive training data after all

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

Protege raises $30M to grow governed marketplace for AI training data

Through 2025, Protege expanded its data partner network to hundreds of organizations to provide aggregated access to new data ...
Quanta Magazine

How Do Machines ‘Grok’ Data?

For all their brilliance, artificial neural networks remain as inscrutable as ever. As these networks get bigger, their abilities explode, but deciphering their inner workings has always been near ...
Computing

Smarter, brain-inspired AI design could cut training time and costs, study suggests

AI systems may not need vast amounts of training data to begin behaving more like the human brain, according to new research ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...
Kalkine Media

WiMi (NASDAQ:WIMI) Launches Multi-Channel Quantum Convolutional Neural Network for AI Applications

WiMi launched the MC-QCNN, a quantum convolutional neural network capable of processing multi-channel data for applications ...
Semiconductor Engineering

How Neural Super Sampling Works: Architecture, Training, And Inference

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...