Most of today's quantum computers rely on qubits with Josephson junctions that work for now but likely won't scale as needed ...
Proton collisions at the LHC appear wildly chaotic, but new data reveal a surprising underlying order. The findings confirm that a basic rule of quantum mechanics holds true even in extreme particle ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have made a significant discovery regarding ...
Researchers at TU Wien have discovered a quantum system where energy and mass move with perfect efficiency. In an ultracold ...
Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...
As an open Engineering Intelligence platform, Neural Concept and the new copilot integrate with leading AI and 3D visualization ecosystems -- including NVIDIA Omniverse -- enabling scalable ...
Biology has always been an unruly science. Cells divide when they want to. Genes switch on and off like temperamental lights.
Abstract: Radiomap captures the geometrical distribution of radio frequency signal power. As an important tool to qualitatively and quantitatively describe radio propagation behavior and spectrum ...
New Analysis Platform Explores Why Household Tasks and Physical Automation Require Embodied Intelligence Beyond Traditional Computer Approaches The next wave of AI is physical AI. AI that understands ...
Morning Overview on MSN
A key fusion puzzle just snapped into place after decades of debate
For seventy years, one stubborn physics problem has stood between fusion’s promise and practical reactors. That puzzle, how to keep violent runaway electrons from shredding the inside of a tokamak, ...
FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...
Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...
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