WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

With its ability to enhance predictive accuracy, quantum computing may significantly lower R&D costs in pharmaceuticals by reducing candidate failures.

Bridging quantum mechanics and crystallography, quantum crystallography offers precise analysis of crystalline materials, impacting various scientific fields.

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

Viral AI agent project OpenClaw, which has made headlines across the world in recent weeks, harnesses existing LLMs to let ...

In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific ...

World models are AI systems that understand physics, space, and cause-and-effect—unlike chatbots that only predict text. Tech leaders like Yann LeCun argue they're essential for truly intelligent ...

INDIANAPOLIS, Feb. 2, 2026 /PRNewswire/ -- Mears Machine Corporation (Indianapolis, IN) today announced that it has been awarded a long-term supply agreement with a major U.S. defense OEM to ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...