When X's engineering team published the code that powers the platform's "for you" algorithm last month, Elon Musk said the ...

Simulation results show enhanced logical error suppression and real-time decoding potential Ra’anana, Israel, Feb. 05, 2026 ...

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

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Unlike today’s algorithms that guess songs based on previous enjoyment, this brain-reading approach knows what’s working now. In A Nutshell People with music training and those who describe themselves ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

Companies ranging from OpenAI, Meta, Microsoft, and Google to smaller firms and startups are looking for high-quality AI ...

Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.