This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

The legal, musical, and social demise of Youtube year-end megamixes can be read as an obituary for a lost monoculture.

SpyFu delivers powerful competitor keyword research and PPC insights through an affordable platform with over 10 years of ...

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 ...

The missing layer between data and action is decision architecture: the explicit design of who decides, when they decide, ...

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...

Gemini Agentic Vision extracts image elements and normalizes bar charts for clear comparisons, helping you explain complex ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

Nvidia-led researchers unveiled DreamDojo, a robot “world model” trained on 44,000 hours of human egocentric video to help ...

Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the ...

The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...