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iDEAL will begin rebranding to iDEAL | Wero in 2026. This is the first step in the transition to Wero, the European digital wallet.
As several high-profile companies responded to cyberattacks, Polish Digital Affairs Minister Krzysztof Gawkowski said incidents involving Poland’s public and private infrastructure are becoming “commonplace.”
New Jersey US State The global Near Field Communication market in the Information Technology and Telecom category is projected to reach USD 10 5 billion by 2031 growing at a CAGR of 10 5 from 2025 to 2031 With rising ...
Use code ONLINE30 to get 30 off on global market reports and stay ahead of tariff changes macro trends and global economic shifts Security Seals Market Size Growth Forecast What to Expect by 2025 The security seals market has risen ...
South African startup MyBitSecure has launched a fully-integrated solution that combines IoT-enabled irrigation and soil-monitoring systems with enterprise-grade cybersecurity for farm data.
New Jersey US State The global UWB Anchor market in the Information Technology and Telecom category is projected to reach USD 4 5 billion by 2031 growing at a CAGR of 16 5 from 2025 to 2031 With rising industrial ...
InsightAce Analytic Pvt Ltd announces the release of a market assessment report on the Global Internet of Things in Retail Market By Component Hardware Platform Services By Deployment On premise Cloud By Technology Bluetooth Low Energy Near Field Communication Zigbee ...
This paper describes the design and implementation of an ESP32-S3 based IoT device that integrates real-time gas safety monitoring with an AI-powered voice assistant, featuring enhanced user feedback and conversational context. The system's primary aim is to combine hands-free voice interaction with a Large Language Model (LLM) and real-life MQ-2 gas detection for environmental safety monitoring. The prototype demonstrated robust performance in handling voice queries with contextual memory and environmental monitoring. This work illustrates a cost-effective and adaptable approach to developing multifunctional solutions by combining ESP 32 with modern cloud-based AI services and comprehensive user feedback mechanisms, suitable for applications in home automation, safety, and accessibility. Simultaneously, the system conducts environmental monitoring using an MQ-2 gas sensor. Upon detection of gas levels exceeding a predefined threshold (e. g., an ADC reading of 800), the system triggers a local voice alert through its speaker, activates a buzzer, and pushes notifications through both Telegram and the Blynk mobile dashboard, ensuring timely local and remote awareness.
We are proud to announce the successful launch of the Ultra-Wideband (UWB) Application Lab in Graz. This lab was established in record time through close collaboration between SAL and Infineon Technologies, our largest Austrian research partner.In the lab, we will focus on advancing UWB technology, exploring innovative use cases, and delivering real-world applications for automotive, industrial, IoT, and consumer markets. Ultra-Wideband (UWB) is a cutting-edge wireless communication technology enabling precise and secured localization but also allows data exchange and sensing.We look forward to working with additional partners and driving forward cutting-edge research in wireless communication.Read more about the UWB Lab 👉🏻
Infineon Technologies has established and developed in collaboration with Silicon Austria Labs (SAL) a dedicated Ultra-Wideband (UWB) Application Lab in Graz, Austria.
Recently, resonant inductive coupling wireless power transfer (RIC-WPT) systems operating at 6.78 MHz for charging mobile and consumer electronic devices placed in a wide area have attracted researchers’ attention. In RIC-WPT systems, methods employing reactance compensators utilizing semiconductor switches have been proposed to match the resonant frequencies between the transmitter and receiver. To implement such a reactance compensator on the receiver side, synchronization between the transmitter and receiver control signals is required. In other words, a constant phase difference must be maintained between the control signal on the transmitter side and that on the receiver side. Therefore, this study presents the development of a radio frequency (RF) wireless communication method for the receiver side control in a 6.78 MHz RIC-WPT system. The communication system adopts quadrature demodulation and a phase-locked loop to maintain a constant phase difference between the transmitted reference signal and the demodulated signal. The experimental results indicate that the output power fluctuation caused by the developed communication circuit is expected to be less than 10%, suggesting its potential applicability to 6.78 MHz RIC-WPT systems.
In this study, the use of autonomous robots to improve air quality management and sterility in surgical situations is explored. The robots are outfitted with advanced sensors that continually monitor airborne pollutants and ambient conditions using AI and the IoT. The implementation of fuzzy logic control algorithms enables real-time decisionmaking, enabling the process of air filtration and sterilization to be dynamically adjusted depending on changing factors. It details a comprehensive system design that allows easy integration into healthcare networks via data collecting, processing, and communication protocols. The deployment of these autonomous robots seems to greatly enhance compliance with air quality regulations, leading to a decrease in the incidence of surgery site infections, according to preliminary studies. Healthcare providers can provide better care to patients with this novel method, which automates vital operations. Robotics can revolutionize several contemporary surgical procedures, as shown by the results.
Dracula Technologies, a French pioneer in battery-free Internet of Things (IoT) solutions powered by ambient light, announced the completion of its €30 million Series A funding round, including an extension led by Banque des Territoires acting on behalf of the French State under the “France 2030” program. The round also included participation from MGI Digital Technology Group, historical private investors, and the European Innovation Council (EIC) Fund, which joined as a new strategic partner.
New Jersey US State The global Ultra Wideband UWB Location Tags market in the Information Technology and Telecom category is projected to reach USD 3 5 billion by 2031 growing at a CAGR of 15 5 from 2025 to 2031 ...
Precise metrology forms a fundamental basis for advanced science and technology, including bioimaging, semiconductor defects diagnostics, and space telescope observations. However, the sensor technologies used in metrology have so far faced a physical barrier known as the standard quantum limit.
Advanced Science, EarlyView.
Use code ONLINE20 to get 20 off on global market reports and stay ahead of tariff changes macro trends and global economic shifts What Is the Expected CAGR for the Indoor Positioning And Indoor Navigation IPIN Market Through 2025 The ...
New Jersey US State The global Bluetooth Indoor Positioning System market in the Information Technology and Telecom category is projected to reach USD 4 8 billion by 2031 growing at a CAGR of 17 9 from 2025 to 2031 With ...
Elecrow is ushering in a new era of LoRaWAN innovation with the launch of the ThinkNode M Series — a powerful lineup ...
Smart healthcare is advancing through the integration of Cyber-Physical Systems (CPS), Internet of Things (IoT), and Artificial Intelligence (AI). This work presents an IoT-enabled Healthcare CPS (H-CPS) for early detection and classification of Obsessive-Compulsive Disorder (OCD). The proposed system employs a hybrid machine learning framework that combines Radial Basis Function (RBF) Neural Networks, Competitive Neural Networks, and Neuro-Symbolic AI within a CPS architecture to enable intelligent coordination across healthcare infrastructure. The H-CPS leverages IoT devices, LoRa-based communication, and cloud computing to implement an OCD detection system. Oxidative Stress Biomarkers (OSBs) serve as predictive indicators, distinguishing patients with OCD (POCD), genetically predisposed first-degree relatives (GFDR), and healthy controls (HC). The model comprises a competitive input layer, an RBF-based nonlinear transformation layer, and a competitive clustering layer, with Neuro-Symbolic AI applied for cluster labeling. Experimental evaluation on two independent datasets achieved high prediction accuracies (0.9492 and 0.9317), outperforming state-of-the-art clustering methods. A four-layer IoT prototype further demonstrated real-time feasibility with 1–2 second latency, confirming scalability for healthcare deployment.
According to a new study by DataHorizzon Research the Contactless Payment Reader Market is projected to grow at a CAGR of 13 7 from 2025 to 2033 driven by the increasing adoption of digital payment solutions growing consumer demand for ...
According to a new study by DataHorizzon Research the Cashless Vending Machine Market is projected to grow at a CAGR of 12 2 from 2025 to 2033 driven by the rapid adoption of digital payment technologies increasing consumer preference for ...
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