The BNB Chain 2026 roadmap targets faster transactions, AI-powered apps, and infrastructure aimed at preparing for a quantum ...

Quantum computing education is advancing rapidly, with books now catering to beginners, developers, researchers, and business leaders. This curated selection highlights essential titles that explain ...

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...

Will computers ever match or surpass human-level intelligence — and, if so, how? When the Association for the Advancement of Artificial Intelligence (AAAI), based in Washington DC, asked its members ...

Classiq Technologies Ltd., a maker of quantum software development tools, today announced that it has raised “tens of millions of dollars” in new funding. The capital was provided as an extension to a ...

This repository contains a Monte-Carlo solver to train neural-network variational wavefunction to solve continuous-space Fermi systems [M Geier, K Nazaryan, T Zaklama, L Fu, Phys. Rev. B 112, 045119 ...

Integrated quantum computing company Quantinuum Ltd. today unveiled new open-source software tools designed to accelerate software development for quantum computing with a more intuitive programming ...

The dawn of quantum is upon us, and it’s not the dawn we’ve grown accustomed to. We stand on the brink of a new computational era that promises to dwarf the advancements of classical computing in ways ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph-based neural networks and, specifically, message-passing neural networks (MPNNs) ...

Human inventions, namely engineered systems, have relied on fundamental discoveries in physics and mathematics, e.g., Maxwell’s equations, Quantum mechanics, Information theory, etc., thereby applying ...