Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Quantum engineers are starting to think bigger, literally, as they look for ways to move fragile quantum information without ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

Adobe updates Substance 3D Designer 15.1 with better node organisation, improved noises, and new sample materials for faster authoring.

VP of Product Management Taqi Jaffri unpacks how deterministic workflows and agentic AI complement each other in production ...

Biometric technologies, including face and fingerprint recognition, also strengthen identity verification and reduce exposure ...

Coalesce.io, the data transformation and metadata management company redefining how modern data teams build and govern data, today announced the general availability of Coalesce Copilot, an AI-powered ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

Edge & Node, the team that created The Graph, has launched ampersend, a management platform for coordinating how autonomous AI agents operate and transact, the company said on Thursday. Built on ...

Alzheimer's Disease (AD), a leading neurodegenerative disorder, presents significant global health challenges. Advances in graph neural networks (GNNs) offer promising tools for analyzing multimodal ...

Abstract: Node importance estimation involves assigning a global importance score to each node in a graph, pivotal to various subsequent tasks, including recommendation, network dismantling, etc.