Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
A new MRI technique called Velocity Spectrum Imaging can map fluid movement in the human brain within a 3D pixel, according ...
Q4 2025 Earnings Call February 11, 2026 5:00 PM ESTCompany ParticipantsDavid Hsiao - Head of Investor RelationsAdam Foroughi ...
Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
In 2025 Artprice successfully integrated all the key tools of its proprietary AI (Intuitive Artmarket®) into its internal ...
Read more about Artificial intelligence could change future of antimicrobial drug discovery: Here's why on Devdiscourse ...
No gradients. No GPUs. Discover how Hamiltonian neural networks use logic and low-precision computing to challenge deep learning’s dominance.
Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract ...
New research published in Scientific Reports provides evidence that the path from genetic predisposition to general ...
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