IoT devices
PulseAugur coverage of IoT devices — every cluster mentioning IoT devices across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Digital Twins Revolutionize Maritime Operations with Real-Time Data and AI
Digital Twin Technology is revolutionizing the maritime industry by creating virtual replicas of ships and their systems. These digital models use real-time data from sensors, combined with AI and machine learning, to m…
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LLMs used to identify IoT devices at scale with high accuracy
Researchers have developed a novel method for identifying Internet of Things (IoT) devices at scale by treating network traffic metadata as a language modeling task. They constructed a high-fidelity dataset of vendor la…
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AI-driven adaptive computer worm demonstrated using open-weight LLMs
Researchers have developed a prototype AI-driven worm that can adapt its attack strategies in real-time by leveraging large language models (LLMs). Unlike traditional worms that exploit specific vulnerabilities, this ad…
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AI amplifies healthcare cybersecurity risks, driving record breach costs
Artificial intelligence is creating significant new cybersecurity challenges within the healthcare industry, which is already a prime target for cyberattacks. While AI offers revolutionary benefits in areas like drug di…
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Researchers create adaptive AI worm using hijacked LLMs
IT researchers have developed an adaptive AI worm capable of spreading across various operating systems and devices. This worm leverages infected computers to run large language models, enabling it to maintain its decis…
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AI-powered worms can adapt and spread autonomously
Researchers have developed a prototype AI-powered computer worm that can adapt its attack strategies in real-time. This novel malware leverages open-weight large language models running on compromised machines to genera…
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LLM agents reviewed for renewable energy forecasting
This review paper explores the application of Large Language Model (LLM) agents for enhancing renewable energy forecasting. It examines how LLM agents can integrate diverse data streams from IoT devices, weather APIs, a…