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

For the first time since the dot-com bust in the early 2000s, undergraduate computer science enrollment across the UC system ...

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

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 ...

The AI agents’ social network exposes concrete threats, including the extent to which technical users are willing to overlook ...

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 ...

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

Our current approach to mental health labelling and diagnosis has brought benefits. But as a practising doctor, I am concerned that it may be doing more harm than good ...

This story is part of an AI series looking at how WSU is driving innovation in research and teaching through artificial intelligence. View the entire ...

How incomplete or intentionally restricted information quietly undermines risk assessment, prioritization, and mitigation efforts.

Being a good CFO does not always translate into being a good CEO. Ken Thomas identifies ten different kinds of CFOs who just ...

Here's how to find an effective, affordable security system for your business.