Model selection, infrastructure sizing, vertical fine-tuning and MCP server integration. All explained without the fluff. Why Run AI on Your Own Infrastructure? Let’s be honest: over the past two ...

MiniMax M2.7 fully tested as an agentic AI model, showing 30% autonomous self-improvement after 100+ self-training rounds.

Other ways to pay your financial adviser ...

Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...

Adobe Firefly introduces custom AI models for consistent image and video creation, giving creators more control over style, branding, and workflows.

The future is federated sovereignty, says Aaron Boasman-Patel of TM Forum. Learn what that means for you, from concept to architecture.

CaliberMind's new flexible opt-in fingerprinting capability suite lets GTM teams choose visitor identification strategy ...

The Department for Work and Pensions (DWP) has published a “data strategy” document that sets out what it believes it will take to become an organisation transformed by data usage by 2030. This ...

Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...

Figure 1. Average result across 8 benchmarks for different methods. High performance at the same selection ratio indicates high efficacy, while achieving similar performance with a smaller selection ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...