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

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

Artificial intelligence is now embedded across financial markets, often marketed as a shortcut to faster decisions and smarter trades. But according to Peter Pavlov, CEO of Edge Hound, most AI ...

Context graphs is the new buzzword for agentic Systems of Knowledge, uncovering the key role of the tribal knowledge hidden in decision threads that inform enterprise activity.

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 ...

OpenAI has spent the past year systematically reducing its dependence on Nvidia. The company signed a massive multi-year deal with AMD in October 2025, struck a $38 billion cloud computing agreement ...

• Invest in data readiness. Informatica’s CDO survey notes that data quality and readiness (43%), technical maturity (43%) and skill shortages (35%) are the top obstacles to AI success. Winning ...

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

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

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

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

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 ...