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Over the past two decades, a powerful but highly specialized branch of control engineering—known as negative imaginary (NI) systems theory—has quietly evolved into a key tool for stabilizing complex, vibration-prone systems, from flexible structures to advanced robotics.
Now, a new study reveals how fast and in what direction this field is growing. By analyzing more than 400 scientific publications from 2004 to 2024 across the world’s leading academic databases, the researchers uncovered a clear trend: NI systems are no longer just a theoretical concept. The work is published in the International Journal of Systems Science.
The field is expanding rapidly, with increasing global participation and a strong shift toward real-world applications such as multi-robot coordination, aerospace systems and nanotechnology.
Large language models (LLMs), the computational models that underpin conversational agents such as Gemini and ChatGPT, are now widely used by people worldwide to rapidly find information, summarize documents and generate texts for specific purposes. Some computer scientists are now combining two or more of these models to create multi-agent systems, which prompt multiple artificial intelligence (AI) agents to interact, cooperate and/or compete with the goal of completing specific tasks.
In some scenarios, however, AI agents could have different objectives and might have access to more or less information than the other agents they are interacting with. Understanding how AI agents typically behave in these situations could help shed more light on the potential benefits and risks of multi-agent systems.
Researchers at Mila, Université de Montréal and McGill University recently set out to explore how the hidden goals of individual AI agents could influence a multi-agent system’s performance, using a framework inspired by the multiplayer social deduction game Werewolf.
A cluster of nearly 800 malicious packages has been published to the npm registry as part of a new campaign designed to deliver cross-platform malware targeting Windows, Mac, and Linux systems.
“These packages appear to use AI slop squatted, or randomly generated typo-squatting package names, but all of them deliver a powerful RAT and infostealer payload,” OpenSourceMalware researcher Paul McCarty said.
Unlike other npm-oriented software supply chain attacks that make use of lifecycle hooks like preinstall or postinstall to trigger the execution of malicious code, the newly identified packages come with a README that instructs developers to load them with require, a built-in function to import modules, local files, and third-party packages.
Address books or allowlists reduce repeated manual entry, while first-time or changed destinations deserve a full comparison rather than a check of only the opening and closing characters.
In both campaigns, the first trust decision could look legitimate while the surrounding workflow had already been changed. Detection and verification need to cover the steps between the authenticated email, the copied value and the final action.
Gen’s H1 2026 Threat Report covers the broader picture across scams, malware, identity exposure, privacy and AI-driven attacks.
The dark data opportunity in iiot that most manufacturers are missing.
You’ve already collected years of logs, reports, PDFs, maintenance records, and unstructured files — but most of it sits unused.
This “dark data” represents a massive hidden opportunity for predictive maintenance, process optimization, and quality improvements — often with faster ROI than deploying more sensors.
The challenge is turning messy, unlabeled archives into usable training data for AI.
The companies winning in 2026 will combine new IIoT streams with smart extraction from the data they already own.
Full analysis: [ https://creedtec.online/the-dark-data-iiot-opportunity-is-hi…ready-own/](https://creedtec.online/the-dark-data-iiot-opportunity-is-hi…ready-own/)
#IndustrialIoT #DarkData #IIoT #SmartFactory
A new longevity breakthrough could change how scientists think about aging.
This discussion explores why discoveries like these could reshape the future of healthy aging.
This clip is from the following episode: • Mira Murati’s 975B Open Model, Ramin Hasan…
Recorded on July 16, 2026
Views are my own thoughts; not Financial, Medical, or Legal Advice.
Ramin hasani is the co-founder and CEO of liquid AI
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PortSwigger says HTTP Terminator, an artificial intelligence (AI)-assisted research system built by James Kettle, generated and proved new HTTP desynchronization techniques after exploring 30,000 candidate desync vectors.
PortSwigger said a separate human-guided discovery cascade also exposed a zero-day in Apache Traffic Server. Kettle said HTTP Terminator tested 30,000 websites where scanning was authorized through bug bounty or vulnerability disclosure programs and found roughly 700 vulnerable targets before deeper validation and RQP research.
Kettle said those findings involved banks, government infrastructure, security products, and an airport.