Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

RIT and the University of Rochester to receive $2 million in federal funding to advance quantum communication network.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

The explosion in data quantity has kept the marriage of computing and statistics thriving through successive hype cycles: ...

A new social network called Moltbook has been created for AIs, allowing machines to interact and talk to each other. Within hours of the platform launching, the AIs appeared to have created their own ...

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 ...

Some experts are awed and others derisive over AI bots’ conversations on the new site Moltbook.

Biologists have uncovered a new mode of communication inside cells that helps bacterial pathogens learn how to evade drugs.

For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built ...

The olive has been part of the human diet for centuries. From black to green, different types of olives yield varying levels ...