Wiliot partners with Databricks to operationalize item-level IoT data via its Physical AI platform, enhancing supply chain automation with governed, real-time analytics.
BEIJING (Xinhua/Xinhua) -- China has set a goal of increasing the size of its key Internet of Things (IoT) industry to over 3.5 trillion yuan (about 505.8 billion U.S. dollars) by 2028, according to an action plan jointly released by the Ministry of Industry and Information Technology and other departments. The...
In rural and agricultural communities, the impacts of electric fence tapping and power theft is a serious issue affecting public safety, energy loss, and grid reliability. Farmers and landowners frequently tap fences directly into live distribution lines for the purpose of keeping animals out, often without awareness of the high-voltage risk these practices pose not only to themselves, animals, and wildlife, but also the electrical equipment itself. These practices not only jeopardize the safety of the electrical equipment but can also result in significant financial loss as well, with estimations throughout some areas serviced by the Kerala State Electricity Board (KSEBL) ranging from 8 to 9 percent of power loss annually due to widespread nature of these activities. Current methods, such as manual patrolling of distribution networks, feeder load comparison, Voltage/ Current/ watt hours audits, are not effective. To overcome these challenges, we proposed a real-time detection, selective tripping, and AI-assisted IoT framework to prevent unauthorized access of electric fencing. This framework consists of a Residual Current Monitoring (RCM) system to continually detect leakage, Digital Signal Processing (DSP) analysis to validate anomalies, Time-Domain Reflectometer (TDR) for real-time fault location, and a Smart Relay Control Unit to provide selective tripping to isolate damaged line segments. Our predictive AI model, Long Short-Term Memory (LSTM), continues to analyze historical and current patterns to distinguish genuine faults from transient disturbances and locate locations at risk. Events detected are provided through a Live Network Intelligence Dashboard providing real-time diagnostic information including grid health, fault location, and automated service alerts. The framework provides uninterrupted service to authorized users and enables a scalable and sustainable proposition of supply and demand for the future smart power distribution network.
The rapid growth of Internet of Things (IoT) deployments in smart homes, healthcare, and industrial environments has introduced significant challenges for cybercrime investigation and digital forensics. IoT networks generate large volumes of heterogeneous and often encrypted traffic over multiple communication protocols, such as Wi-Fi and Zigbee, limiting the effectiveness of traditional post-incident forensic techniques. Due to constrained device storage, a lack of centralized logging, and short-lived network interactions, critical forensic evidence may be lost before it can be preserved. This paper proposes a real-time, AI-enhanced IoT forensic framework designed to improve forensic readiness through continuous edge-based traffic analysis. The proposed framework integrates multi-protocol packet capture, machine learning-based anomaly detection, and Explainable Artificial Intelligence (XAI) to enable transparent and interpretable forensic decision-making. The system is evaluated using multiple benchmark datasets, including CIC IoT-IDAD 2024, Edge-IIoTset, N-BaIoT, UNSW HomeNet, and ZigBee traffic traces. Several machine learning and deep learning models, such as XGBoost, LightGBM, LSTM, and GRU, are trained and compared using standard evaluation metrics. Experimental results indicate that tree-based models achieve high detection accuracy with low inference latency, making them suitable for real-time deployment on lightweight edge devices. The integration of SHAP and LIME provides feature-level explanations for detection outcomes, enhancing the reliability and interpretability of AI-based forensic evidence.
Die m2m Germany GmbH baut ihre Position im Bereich intelligenter Gebäudetechnik weiter aus und gewinnt mit viboo einen innovativen Kunden im Bereich Smart-Building. Das Schweizer Unternehmen setzt auf die bewährten LoRaWAN-Heizkörperthermostate von MClimate sowie die
/CNW/ -- Hikvision, a leading AIoT solution provider, has announced LinkVu, a visual, full-cycle solution designed to empower IoT and networking project...
Ultra Wideband Uwb Antennas Market Is Projected To Grow $3500M by 2035 | 14.5% CAGR (2025-2035) | Wiseguy Reports
Global Radio Frequency Biosensors Market Research Report: By Device Type (Passive RFID Tags, Active RFID Tags, Implantable RFID Tags), By Frequency Range (Low-
The newly launched system continuously monitors driver behavior, including signs of drowsiness, distraction, and unsafe actions, while simultaneously tracking vehicle parameters such as speed, location, and driving patterns. Technology For SMEs | Cloud for SMEs
Homelessness is an urgent, multifaceted global crisis that affects millions and transcends geographic, economic, and cultural boundaries. This book is a comprehensive examination of this pressing issue, offering insights into its root causes, complex dynamics, and far-reaching consequences. This groundbreaking book explores why homelessness persists in societies today, delving into structural inequities, systemic barriers, and the interplay between economic instability, social exclusion, and individual vulnerabilities. It highlights real-life scenarios, shedding light on the lived experiences of homeless individuals, from urban streets to rural margins. With a forward-thinking approach, the book introduces practical solutions and transformative strategies. It examines the roles of governments, non-profits, businesses, and communities in fostering resilience, equity, and inclusion. It offers a roadmap for creating sustainable change, from innovative housing policies and wraparound services to technological interventions and community-led initiatives, inspiring hope for a better future. Readers will better understand homelessness as not just a lack of shelter but a symptom of broader societal challenges. The take-home message is clear: addressing homelessness requires a collective commitment to empathy, shared responsibility, and systemic reform, emphasizing the need for unity and collaboration in this endeavor. Whether you are a policymaker, researcher, advocate, or concerned citizen, this book empowers you with the knowledge and tools to confront homelessness effectively. It also provides actionable steps that you can take to contribute to the solutions proposed. Through its actionable insights and inspiring case studies, The State of Homelessness provides hope for a world where everyone can live with dignity, stability, and security.
Operators running industrial IoT robotic fleets could look to AI developed by MIT and Symbotic that optimises warehouse navigation.
Education News: Artificial Intelligence (AI), Internet of Things (IoT), and intelligent digital systems are reshaping how industries design products, analyse data, an.
Internet-of-Things (IoT) exposure to cyberattacks mediated by botnets has grown considerably, for which detection methods that are both computationally lightweight and highly accurate are needed. The paper introduces IoT BotSentinel, a highly efficient AI-based system, which utilizes a five-stage hybrid detection algorithm, which is tailored to resource-heavy IoT system restrictive conditions. The algorithm has used: (1) multi resolution packet fingerprints, (2) entropy based anomaly profiling, (3) temporal sequence embedding using compact recurrent filters, (4) attention based feature fusion, and (5) adaptive sparse inference to provide mitigation to threat in real time. Lasting partitionable layers, dynamic quantization, and hierarchical pruning lessen the computation expense without damage to predictive fidelity. IoT BotSentinel shows high precision of 99.7 and strong zero-day generalization as evaluated on multi-source datasets on botnets, such as Mirai and new command-and-control variants. The suggested framework presents a scalable, high-integrity and practical defensive mechanism that can be deployed across heterogeneous IoT networks and which has low latency and memory footprint.
The market is also benefiting from technological advancements including Impulse Radio, Multiband Orthogonal Frequency Division
STMicroelectronics' ST64UWB: Positioning for UWB's Next S-Curve as First Mover With Radar-Ready Edge
DGIST Professor Minyoung Song’s team present next-generation ultra-compact UWB transmitter technology at ISSCC 2026, the “Olympics of Semiconductors”By Daegu Gyeongbuk Institute of Science and Technology (DGIST)- DGIST Professor Minyoung Song’s team develops a low-power digital IR-UWB transmitter that maximizes spectrum utilization while complying with global spectrum regulations- Achieves 9 times higher area efficiency than before, with expectations for communications and high-precision localization app
"Zebra (US), Infineon (Germany), Inpixon (US), Pozyx (Belgium), Sewio (Czech Republic), Ubisense (UK), Redpoint Positioning (US), Kinexon (Germany), Eliko (Estonia), Infsoft (Germany), Ubitrack (Bulgaria)."Ultra-Wideband (UWB) Indoor Location Market...
Ultra-Wideband (UWB) keeps pushing boundaries. From automotive to smart home, UWB technology has already proven itself as a key technology thanks to its secure and precise ranging. But the future looks even more exciting. Early 2026, the new IEEE 802.15.4ab standard is expected to launch – unlocking: ✅ Higher data rates ✅ Advanced ranging ✅ Radar functionality At imec, we’re already paving the way. Discover how our latest generation UWB radios enable these innovations: ☑️ 802.15.4ab-compliant technology ☑️ Advanced ranging via narrowband-assisted UWB ☑️ Up to 124.8 MHz data rate ☑️ Full duplex MIMO radar sensing (30cm – 3m) ☑️ Low-power operation 👉 Read the full article and see how we’re preparing UWB for the next wave of applications:
Global Info Research announces the release of the report Global UWB Proximity Sensor Market 2025 by Manufacturers Regions Type and Application Forecast to 2031 The report is a detailed and comprehensive analysis presented by region and country type and application ...
CTI Connect, a leading provider of wireless broadband and connectivity solutions, delivers robust wireless connectivity for smart factory IoT sensors through
CTI Connect, a leading provider of wireless broadband and connectivity solutions, delivers robust wireless connectivity for smart factory IoT sensors through
Monitoring von Naturgefahren und Bewegungsanalysen im Sport mithilfe innovativer Sensorsysteme: Forscher*innen am Lehrstuhl für Automation und Messtechnik an der Montanuniversität Leoben arbeiten an verteilten und vernetzten Sensorsystemen: Mit dieser Technologie können beispielsweise erste Anzeichen für Rutschungen und Murenabgängen in erosionsgefährdeten, meist ländlichen Bereichen überwacht werden. Durch die Integration von Sensoreinheiten in Schutzbauten wie Steinschlagnetzen lässt sich deren Zustand kontinuierlich überwachen, wodurch frühzeitig vor vermehrten Steinschlagereignissen und Murenabgängen gewarnt werden kann. Die neuartigen Sensor-Systeme können im Sinne des Gefahrenschutzes aber auch in Staumauern, an Brücken oder Gebäuden zur Anwendung kommen. Eine andere Anwendung der entwickelten Technologie ist der Sport: Bewegungssensoren können hier Performance-Daten von Sportlern etwa während des Schwimmens aufzeichnen, analysieren und auswerten.
The event – jointly organized by MCL and Montanuniversität Leoben, Chair of Automation and Measurement on November 27, 2025 brought together a dedicated audience from academia and industry to exchange ideas and showcase innovations for wireless sensor nodes. We discussed emerging technologies in integrated sensors, edge computing, low power design, IoT system integration as well as application requirements. The inspiring presentations and demonstrations highlighted how research and collaboration can drive the next generation of smart, connected systems.A big thank you to all presenters, partners, and participants for sharing their insights and helping strengthen Austria’s position as a hub for wireless sensor nodes. Today’s exchange of ideas will shape tomorrow’s solutions. ***Die Veranstaltung vom 27. November 2025 brachte führende Köpfe aus Wissenschaft und Industrie zusammen, um Ideen auszutauschen und Innovationen im Bereich autonomer Sensorsysteme zu präsentieren. Das MCL ist stolz darauf, das Symposium gemeinsam mit der Montanuniversität Leoben organisiert zu haben. Im Fokus standen neue Entwicklungen bei integrierten Sensoren, Edge Computing, energieeffizientem Design und der Integration von IoT-Systemen – mit eindrucksvollen Beiträgen, die zeigen, wie Forschung und Zusammenarbeit die nächste Generation smarter, vernetzter Systeme vorantreiben.Ein großes Dankeschön an alle Vortragenden, Partner und Teilnehmer:innen für ihre Beiträge und den offenen Austausch. Unser gemeinsames Ziel war es auch die Rolle Österreichs als Hotspot für fortschrittliche Sensor- und IoT-Technologien zu stärken – die diskutierten Ideen werden die Lösungen von morgen gestalten.
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