Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

At SIGGRAPH 2025 today, Arm pulled the wraps off Neural Super Sampling (NSS), its first AI-driven upscaling technology designed for mobile GPUs. It's the debut application of "Arm neural technology," ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

A new ‘pop-up’ device developed by Professor John Rogers lets scientists map and manipulate activity in human neural ...

* Caltech builds the first DNA neural network that learns from examples * The system stores molecular memories using engineered DNA strands * Future applications include smart //medicines and adaptive ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.