A new fuzzy multi-agent framework continuously assesses hospital resource health and detected simulated degradation about 69 ...

This is Part Two, of our interview with Chat-GPT 5.6. As with Part One, I did not ask GPT questions based on my own interests or, in many cases, not knowing what I thought the answers would or should ...

Khawaja Shams shares a distributed systems perspective on scaling LLM inference stacks efficiently. He discusses practical strategies for optimizing GPU utilization, managing KV cache memory cliffs, ...

In a randomized trial, professional analysts working with an AI coding agent went with the option the agent was randomly ...

A practical checklist for evaluating ADLC security solutions: coverage for code and coding agents, evidence-backed accuracy, agent-loop workflow fit, and a proof of concept you can score.

Build a Python drift monitor with SciPy and Evidently, then test five scenarios showing why data drift doesn't always mean ...

A prototype attendance system called Smart Click recognizes enrolled faces in group photographs with 95.26 percent accuracy, ...

Even if you know the concept of AI agents, there are still few people who can actually build them. In this article, through ...

Learn how to secure AWS, Azure, and GCP using policy-as-code, drift detection, least-privilege IAM, microsegmentation, and ...

In Python, you can write asynchronous processes using async/await.It is a convenient mechanism for efficiently executing ...

Stanford's Meta-Harness lets an AI agent rewrite the code around a frozen model. How it works, what the results show and what ...

Nvidia's RTX Spark packs an NPU that we know very little about, but I was able to get it working.