Internet of Things
PulseAugur coverage of Internet of Things — every cluster mentioning Internet of Things across labs, papers, and developer communities, ranked by signal.
- used by federated learning 80%
- instance of Gotit.pub 70%
- used by alphaXiv 70%
- used by ScienceCast 70%
- used by Gotit.pub 70%
- used by 6G 70%
- used by cloud computing 70%
- used by edge computing 70%
- uses edge computing 70%
- instance of consumer electronics 70%
- used by Edge artificial intelligence 70%
- used by MQTT 70%
16 day(s) with sentiment data
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IoT, AI, and Blockchain Convergence Promises Data Integrity and Edge Computing
The convergence of three key technologies—Internet of Things (IoT), Artificial Intelligence (AI), and Blockchain—is poised to revolutionize the digital landscape. IoT devices will gather real-world data, AI will analyze…
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Geely's Geespace integrates LEO satellite IoT into car features
Geespace, a subsidiary of Geely, has successfully integrated LEO satellite IoT services into a car feature, specifically the Galaxy Warship 700. This move marks a transition for China's commercial LEO IoT sector from so…
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Diffusion Language Models explored for mobile edge AI
A new survey paper explores the potential of Diffusion Language Models (DLMs) for mobile edge agentic AI. Unlike traditional autoregressive LLMs, DLMs can update multiple tokens in parallel through iterative denoising, …
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Hybrid Cloud Architectures Essential for Robust IoT Systems
This article discusses the necessity of hybrid cloud architectures when physical hardware is involved in IoT systems. It emphasizes that a purely cloud-based approach is insufficient for robust IoT solutions that need t…
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New AI framework detects anomalies in IoT traffic using zero-shot learning
Researchers have developed a new framework for detecting anomalies in multivariate time-series data from Internet of Things (IoT) networks. This approach utilizes adversarial learning and contrastive loss within a seque…
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AI transforms medicine and agriculture with data-driven advancements
AI is revolutionizing both medicine and agriculture by leveraging data and advanced technologies. In healthcare, AI-driven drug discovery and bioinformatics are accelerating the process, exemplified by tools like AlphaF…
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IEEE CS R10 Summer School 2026 focuses on AI, IoT, and Cybersecurity
The IEEE CS R10 Summer School 2026 is underway, spanning four days at the University of Moratuwa. The event focuses on key areas including Artificial Intelligence, the Internet of Things, and Cybersecurity. Participants…
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Local KPIs create silos, hindering overall business performance
Local Key Performance Indicators (KPIs) can inadvertently create silos within organizations by incentivizing functional optimization over collective success. When marketing focuses solely on lead generation, sales on bo…
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LPWAN emerges as AI's physical-world nervous system
Low-power wide-area networking (LPWAN) is emerging as a critical component for the advancement of Artificial Intelligence, acting as the 'nervous system' to connect AI's 'brain' with the physical world. This technology …
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New H-FedSN method boosts federated learning for IoT
Researchers have developed H-FedSN, a novel approach to hierarchical federated learning designed for Internet of Things (IoT) applications. This method addresses challenges like communication inefficiency and data heter…
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Weathernews develops AI engine for real-time disaster loss and mitigation assessment
Weathernews has developed a new engine called "ROI Generator" that utilizes generative AI and weather data to instantly calculate the economic losses from weather disasters and the effectiveness of disaster reduction me…
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AI-powered system detects termites in tea plantations
Researchers have developed an IoT-enabled system using deep learning to detect and assess the severity of Postelectrotermes militaris, also known as the Upcountry Live Wood Termite (ULWT), in tea plantations. The framew…
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New system tracks tiny, low-power devices like bees with high accuracy
Researchers have developed a novel system for tracking small, low-power devices, such as bees, across large landscapes. This system utilizes a minimal number of Received Signal Strength (RSS) measurements from rotating …
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Electronics OEMs urged to embrace modularity over custom hardware
Electronics manufacturers are advised to shift their focus from proprietary hardware design to modularity and software capabilities, as customers increasingly value functionality over unique hardware. The automotive ind…
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Deep learning enhances IoT communication by reducing interference
Researchers have developed a deep learning-based communication system designed for dense Internet of Things (IoT) networks. This system aims to improve reliability by mitigating multi-user interference, particularly in …
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New BIPPO method boosts energy efficiency in federated learning
Researchers have introduced BIPPO, a novel multi-agent reinforcement learning approach designed to enhance energy efficiency in federated learning services, particularly for Internet of Things (IoT) systems. BIPPO addre…
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AI era demands new privacy protections amid escalating digital threats
The acceleration of technological innovation, particularly in AI, has created new vulnerabilities for digital privacy. AI systems, which require vast amounts of data, enable sophisticated threats like voice cloning, dee…
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New L4V method optimizes AAV trajectories for IoT data collection
Researchers have developed a new method called Learn for Variation (L4V) to optimize the trajectories of autonomous aerial vehicles (AAVs) for data collection in sixth-generation Internet of Things networks. L4V utilize…
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New self-distillation framework enhances lightweight IoT attack detection
Researchers have developed a new teacher-free latent self-distillation framework called Twin Autoencoder (TAE) for lightweight Internet of Things (IoT) attack detection. Unlike traditional knowledge distillation methods…
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IoT device owners push back against unsolicited AI integrations
The user expresses frustration with Internet of Things (IoT) devices that have integrated AI features into their apps after purchase. They prefer devices that use standard protocols like Matter or Zigbee, and threaten t…