The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

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

The threat to software-as-we-know-it comes from digital data: the foundational, eight-decades-long trend driving the evolution of computer technology and its varied uses.

AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

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 ...

Brain imaging technologies (e.g., MRI, PET, advanced microscopy) are foundational tools for deciphering the brain's ...

From Deep Blue to modern AI, how chess exposed the shift from brute-force machines to learning systems, and why it matters AI ...

Learn more about whether KLA Corporation or SiTime Corporation is a better investment based on AAII's A+ Investor grades, ...

The Belgrade authorities will allocate 8.7 billion dinars (almost 75 million euros) from its budget for the procurement of cameras and related systems intended to improve security in schools and ...

In all, we will be distributing total dividends of approximately $0.47 per share for financial year 2025, up 38% from financial year 2024, which represents a yield of approximately 4.3% based on ...