Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve problems that overwhelm today’s most powerful supercomputers. Instead of ...

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...

MicroCloud Hologram’s approach uses a logarithmic encoding method to reduce the number of qubits needed, representing an N-dimensional feature space using just log (N) qubits. The system forms an ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

The idea that the universe itself might be intelligent sounds like science fiction, yet a growing group of researchers is ...

SAN FRANCISCO, Nov 20 (Reuters) - IBM (IBM.N), opens new tab and Cisco Systems (CSCO.O), opens new tab on Thursday said they plan to link quantum computers over long distances, with the goal of ...

For decades, networks have been built on the same fundamental principle: dedicated hardware appliances for each network function. Need a firewall? Buy a box. Need load balancing? Purchase another ...

Decades of research has viewed DNA as a sequence-based instruction manual; yet every cell in the body shares the same genes – so where is the language that writes the memory of cell identities?

General Motors will start rolling out more powerful Nvidia computers on its vehicles 2028 onwards. The automaker is moving towards a centralized architecture which reduces the number of on-board ...

ST. JOSEPH, Mo. (News-Press NOW) -- Three lucky students from Missouri Western State University closed out the summer on an international stage at the SIGGRAPH 2025 conference in Vancouver, British ...

Anton Osika is the CEO of Lovable AI, a vibe coding platform that enables users to build apps from text prompts. Osika said in a new interview that traits like curiosity and adaptability are more ...

Abstract: In this paper, we study the generalization capabilities of geometric graph neural networks (GNNs). We consider GNNs over a geometric graph constructed from a finite set of randomly sampled ...