Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Every generation leaves behind images that shape memory. From temples and portraits to symbols layered with meaning, visuals ...

A security device made from gold nanoparticles uses light alone to create, verify, and reset uncopyable identities, enabling ...

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

Powered by the new 'TEXTRIX' paradigm, the model delivers industrial-grade PBR textures and geometry through an optimized ...

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

Just a few years ago, many researchers in quantum computing thought it would take several decades to develop machines that ...

Next-generation platform delivers industry-leading facial consistency, motion accuracy, and production-ready quality for ...

JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.

Every human worker is now an AI trainer. This shift, where human judgment and tacit knowledge feed AI systems, will ...

The operating principle of the quantum computer is based on collective oscillations of the ion chain, the developers said ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...