Abstract: This article proposes hybrid dynamic event-triggered distributed interval observers (IOs) for human-in-the-loop (HiTL) multiagent systems (MASs) subject to unknown disturbances, aiming to ...

Discover how closed loop MRP systems optimize production planning and inventory control through dynamic feedback, enhancing ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

Michael Clark, president of OnPoint Healthcare Partners, says healthcare practices must keep humans in the loop to monitor AI agents' ability to complete tasks as well as to evaluate agents' final ...

Socrates Health Solutions ('Socrates”), advancing a purpose-led mission to pursue a better feedback loop for health issues spanning diabetes management, broader health optimization and athletic ...

AI slop is getting worse. A big trouble is how AI slop is going to undermine AI-generated mental health advice. I layout the specifics. An AI Insider scoop.

In the early 1990s, Keith Willmott and a friend, both undergraduate students from the United Kingdom, arrived in Ecuador with impressionable minds and big aspirations. Willmott initially imagined ...

In today’s fast-paced environment, companies must make decisions quickly and adapt to changing conditions. A proven framework for rapid decision making is the OODA (short for observe, orient, decide ...

Analysts say the acquisition positions ClickHouse to help enterprises run AI more reliably and transparently by pairing high‑performance analytics with native LLM observability tools. ClickHouse has ...

For years, “human-in-the-loop” has provided the default reassurance when it comes to how artificial intelligence is governed. It sounds prudent. Responsible. Familiar. It is no longer true. We’ve ...