A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.

The Biological Computing Co. (TBC), the company redefining computing for the post-silicon AI era, today launched a new class of compute that integrates living neurons with modern AI, becoming the ...

BackgroundAs pivotal drivers of smart cities, mega-mobility systems integrate large-scale transportation networks, communication nodes, and energy ...

The discussion around artificial intelligence (AI) today will likely feel very familiar to anyone who lived through the early ...

Studies reveal a surprising paradox: while intelligent men are statistically more likely to marry and stay married, their ...

Quantum computers may become a security threat as early as next year, and that threat will continue to grow over the next several years.

Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Know how HyperBFT and HyperCore enable a custom Layer 1 blockchain to reach 200,000 TPS. Learn how this architecture ...

Most polymers don’t mix—and that’s the point. Polymer alloys succeed by engineering the interface: use thermodynamics to predict separation, processing to sculpt morphology, and compatibilizers to ...

In this work, the authors systematically advance macro-micro integration with feedback (MMIF) as a transformative paradigm for analyzing urban mega-mobility systems, synthesizing the state-of-the-art ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...