Small tweaks to AI model size, prompt length, and compression techniques can deliver major energy savings, according to a new ...

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 ...

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

Agentic AI gets closer to proper autonomy, but its success depends on both large-scale centralized intelligence and tuned small-scale models in edge environments.

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 ...

Transcriptional regulation plays an important role in every cellular decision. Unfortunately, understanding the dynamics that govern how a cell will respond to diverse environmental cues is difficult ...

Professor Lei Ren’s team has proposed ProcessFM, the first foundational model framework tailored for the process industry. ProcessFM integrates data, ...

A LangGraph-based workflow with two alternating agents debating a fixed topic. The system should preserve and summarize the dialogue history, validate logical progression, and end with an automated ...

Measuring AI progress has usually meant testing scientific knowledge or logical reasoning — but while the major benchmarks still focus on left-brain logic skills, there’s been a quiet push ...