With ingredient transparency, stack-friendly simplicity, and daily-use reliability, GenuinePurity is quickly becoming the ...

The Model Context Protocol (MCP) provides a modern, semantically rich way for AI to interact with enterprise systems.

Modernizing legacy data systems is no longer optional—it's the key to unlocking AI’s full potential with real-time insights, ...

The artificial intelligence community has long struggled with a fundamental challenge of making AI systems transparent and ...

Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from ...

Developing energy-efficient software that leverages application-level energy optimization techniques is essential to tackle the pressing technological challenge of energy efficiency on modern ...

As companies deploy agentic AI, CIOs and data leaders face a critical mandate: deliver governed, trusted data that AI systems can understand.

Mental shortcuts that once aided survival frequently lead us astray in today’s complex, data-saturated world. Cognitive ...

To improve adaptability of large language models to challenging tasks that require reasoning, MIT researchers found strategically applying a method known as test-time training with task-specific ...

To understand the behaviour of these systems we define a formal model – a deterministic MoC called Logical Synchrony Networks (LSNs). LSNs describes a network of processes modelled as a graph, with ...