AI-generated legal and regulatory content should be backed by structured legal databases to avoid misinformation and legal ...

The future of cybersecurity lies in the seamless integration of innovative tools, strategic frameworks, and a steadfast ...

Feature by Walter Sun, Sean Kask, Jonathan von Rueden NORTHAMPTON, MA / ACCESS Newswire / February 12, 2025 / Artificial intelligence (AI) is accelerating at an astonishing pace, quickly moving from ...

These top 10 edge AI chips are designed to accelerate artificial-intelligence workloads without being power-hungry.

However, the existing graph neural network framework often uses methods based on spatial domain or spectral domain to capture network structure features. This process captures the local structural ...

Art and science can be aligned in different ways. We describe one use of art as a tool: using ambiguity to evoke curiosity.

The implications of generative AI for ‘knowledge’ work are more profound than many of us might think. Organizations need to ...

Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.

Graph neural networks (GNNs), as a rising star in machine learning, are widely used in relational data models and have achieved outstanding performance in graph tasks. GNN continuously takes ...

Furthermore, the prediction performance is increased by an unsupervised graph neural network to handle outliers and the generation ... frequency with a physical meaning similar to Fourier domain ...

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...