Artificial Intelligence

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How to Build Human-in-the-Loop Plan-and-Execute AI Agents with Explicit User Approval Using LangGraph and Streamlit

In this tutorial, we build a human-in-the-loop travel booking agent that treats the user as a teammate rather than a passive observer. We design the system so the agent first reasons openly by drafting a structured travel plan, then deliberately pauses before taking any action. We expose this proposed plan in a live interface where

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IEEE Transactions on Fuzzy Systems, Volume 34, Issue 2, February 2026

1) A Survey on Neural Network Prediction Based on Fuzzy Information Granules: Methods, Applications, and Future ChallengesAuthor(s): J. Zhan, X. Wu, W. Ding, W. PedryczPages: 347 – 367 2) Fuzzy Game-Theoretic Control Design for Uncrewed Ground Swarm Systems: An Integrated MethodAuthor(s): X. Zhao, Z. Cui, Y. -H. Chen, J. HuangPages: 368 – 381 3) Consensus Fuzzy Representation LearningAuthor(s): C. Zhang,

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A New Frontier for AI Agents: Transparency

As AI agents optimize how they communicate, the shift away from human-readable language underscores why transparency and interpretability are essential for building trust in autonomous systems. The post A New Frontier for AI Agents: Transparency appeared first on SAS Blogs.

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Norwegian scientist suffers brain damage after testing secret microwave device on himself to disprove ‘Havana Syndrome’: Report

A Norwegian scientist’s secret experiment with a microwave energy device backfired, causing him symptoms akin to Havana Syndrome. This revelation, shared with the CIA, has fueled speculation about “pulsed-energy” weapons potentially behind the mysterious illness affecting diplomats globally. While some theories point to sonic attacks or foreign adversaries, the exact cause remains debated.

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