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Der Cybersicherheitsspezialist 01 Quantum kooperiert mit Bullfrog Power, um Umwelt-Token mit Post-Qu
SAN FRANCISCO--(BUSINESS WIRE)--Holly Ventures today announced the launch of its $33 million debut fund, a solo-led cybersecurity vehicle built around a simple idea: for early-stage cyber start-ups, access and value matter more than capital. Founded by John Brennan, formerly a Senior Partner at YL Ventures, Holly Ventures is designed as the counter-model to today’s outsized cyber platforms. Instead of competing on fund size or AI messaging, Holly Ventures focuses on Day Zero: the stage where fo
KI-Phishing 2.0: die neue Generation digitaler Betrugsangriffe Generative KI verändert Prozesse, Workflows und Geschäftsmodelle. Aber sie verändert auch die Art und Geschwindigkeit, mit der Cyberangriffe durchgeführt werden können. Phishing-Mails, die früher an schlechter Sprache oder falschem Namen scheiterten, wirken heute professionell, persönlich und nahezu perfekt. Für Unternehmen ist es daher nicht mehr so leicht, eine Phishing-Mail von einer echten
SGS, the world's leading testing, inspection and certification company, has awarded Ruijie Networks the world's first European Union (EU) Radio ...
– Electric road system charges buses and trucks as they drive along streets and highways
NTT DATA, a global leader in AI, digital business, and technology services, announced the launch of four next-generation, AI-powered autonomous Cyber Defense Centers, located in Bengaluru, Hyderabad, Noida, and Mumbai.
“Nature isn’t classical, dammit, and if you want to make a simulation of nature, you’d better make it quantum.”
Currently, no one possesses a quantum computer capable of carrying out real attacks, but the most advanced groups are already preparing for this future, explains Daniel Parra, founder of DPARRA Tecnologia.
Electreon gehört zu den Vorreitern im Bereich des induktiven Ladens während der Fahrt. Nun präzisiert die israelische Firma, dass sie zur Übertragung des Stroms auf Siliziumkarbid-Leistungsmodule von Infineon
… edge computing paradigm allowed for the transfer of data processing and storage closer to local edge devices, but introduces new vulnerabilities …
Neue Regeln im Cybersicherheitsrecht: NIS-2 bedeutet höhere Anforderungen an die IT-Sicherheit für viele Unternehmen.
Telecompaper - Telecom news and research
Experian has recently released its latest Data Breach Industry Forecast, offering a detailed look at the cyber threat ecosystem.
Researchers have created a new public-key encryption algorithm that rapidly and securely hides messages by counting elements within randomly selected groups, offering a faster and more versatile alternative to existing methods and functioning effectively on any computing device.
Lior Div's new cybersecurity startup just closed what it's calling the largest Series A in the industry's history, and the Cybereason co-founder is already on a hiring spree with plans to dramatically expand his Boston team.
Die US-Handelsaufsicht International Trade Commission hat dem in Österreich stark investierten deutschen Halbleiterkonzern Infineon im Patentstreit ...
(Bild: © DLV/stock.adobe.com (Generiert mit KI)) Erfahren Sie von den OT-Security-Experten von TXOne Networks , wie Security by Design, Managed Services und drop-in Schutz helfen, Stillstand und CE-Risiken zu vermeiden.
Die rasante Entwicklung von künstlicher Intelligenz (KI), die fortschreitende Cloud-Migration und die zunehmende Komplexität digitaler Geschäftsmodelle stell
ABB has finalised its purchase of Gamesa Electric’s power electronics division in Spain from Siemens Gamesa.
VirtualBrowser, a spin-off of Oodrive, has developed a complete web browsing isolation solution, already adopted by large companies and public administrations. It secures internet access by isolating browsing in a remote environment, thus eliminating the risk of cyberattacks while preserving user efficiency. Its technology will soon be certified by the French National Cybersecurity Agency (ANSSI).
STMicroelectronics has expanded its range of rad-hard ICs with three new low-voltage rectifier diodes for the power circuits of Low Earth Orbit (LEO) satellites. Delivered in mass-produced, lightweight SOD128 plastic packages, the flight-ready LEO1N58xx
ABB has announced the completion of its acquisition of Gamesa Electric’s power electronics business in Spain from Siemens Gamesa, originally announced on
Pune India Exactitude Consultancy December 2025 The global Super Junction MOSFET Market is expanding quickly driven by increasing demand for high efficiency power electronics across EVs data centers renewable energy systems industrial automation and consumer electronics Designed to deliver ultra ...
Based on latest GeneSiC Trench-Assisted Planar technology and packaging
Ein für libxml2 (exsltDynMapFunction) herausgegebener Sicherheitshinweis hat vom BSI ein Update erhalten. Welche Betriebssysteme und Produkte von der Sicherheitslücke betroffen sind, lesen Sie hier auf news.de.
Market Summary The global market for Gallium Nitride GaN Epiwafers was estimated to be worth US 646 million in 2024 and is forecast to a readjusted size of US 1759 million by 2031 with a CAGR of 16 3 during ...
A preemptive NATO cyber attack against Russia? "It would target the electricity grid, public transportation, and even air travel, or even finances, with potential restrictions on cash withdrawals by ordinary citizens, including ATMs and credit cards.
(Bild: The Little Hut - stock.adobe.com) Prognose 2026: Der KI-Markt konsolidiert sich, autonome Agenten sichern Netze, Post-Quanten-Kryptografie und Data Sovereignty werden Pflicht.
Global High Purity Silicon Carbide SiC Powder for Wafer Market 2026 by Manufacturers Regions Type and Application Forecast to 2032 is published by Global Info Research It covers the key influencing factors of the High Purity Silicon Carbide SiC Powder ...
GaN Substrate Market Europe Signals a Power Electronics Pivot 5G EVs and Industrial Policies Are Reshaping the Region The semiconductor world is abuzz with the promise of wide bandgap materials but few markets are capturing Europe s industrial attention like ...
The global market for SiC MOSFETs was estimated to be worth US 1236 million in 2024 and is forecast to a readjusted size of US 8508 million by 2031 with a CAGR of 32 6 during the forecast period 2025 ...
For the first time, two French IT Security Evaluation Centers are cooperating in the assessment of post-quantum cryptography (PQC) algorithms as part...
Infineon's CoolGaN BDS enables significant enhancements in power output, energy efficiency, and system reliability for Enphase's IQ9 Series Microinverters.The post Infineon GaN Tech Powers Enphase Energy’s Next-gen Solar Microinverters appeared first on EDN Asia.
Wolfspeed's modules deliver three times more power cycling capability at operating temperature than competing solutions.The post Wolfspeed 1200V SiC Power Modules Enable New Standard for E-Mobility Propulsion Systems appeared first on EDN Asia.
Maintaining distilled water levels in inverter batteries is critical for achieving peak efficiency and lifespan. This study describes a smart monitoring system that uses an Alert Works Spot Water sensor to detect the presence of distilled water in lead-acid batteries. The solution streamlines the notification process by delivering SMS alerts to both customers and service providers, avoiding the need for frequent human checks. Furthermore, the system calculates the available backup time based on real-time load conditions, resulting in an accurate and dynamic projection of power availability during outages. The estimated backup information is accessible through a mobile application, providing consumers with a streamlined interface for battery health monitoring. This technology improves battery reliability, lowers maintenance efforts, and minimizes efficiency loss due to low water levels by combining IoT-based tracking, real-time data processing, and remote notifications. The suggested system substantially advances smart energy management for home and business power backup solutions.
Sparrow Quantum secured €27.5 million in Series A funding to advance the development of accessible quantum technology for industrial use. This investment, the largest of its kind in the Nordics, supports the company’s work on a chip generating single photons—essential building blocks for future quantum computers and secure communication networks.
The Gen-4 modules aim to increase current capability and extend e-mobility inverter lifetime.
Wolfspeed's Remarkable Stock Surge: Strategic Momentum in Power Electronics and Semiconductor Innovation
Examining the progress toward advanced data center power distribution, in light of power predictions Power Electronics News made for 2025The post PEN’s Power Predictions for 2025: How Do They Stack Up? — Data Centers appeared first on Power Electronics News.
Designed for modern motor-drive applications, the high-efficiency GaN power integration solution targets both white goods and factory automation systems.The post ST Unveils New GaN-Based Smart Power SiPs for Next-Generation Motor Drives appeared first on Power Electronics News.
STMicroelectronics has added VIPerGaN65W, a 65 Watt flyback converter, in the VIPerGaN series that combines a 700V GaN transistor and quasi-resonant PWM control
Microelectronic devices in modern systems are working continuously for prolonged periods of many years. Thus, there is a crucial need for reliability model that will enable us to predict precisely the life cycle of the device and point out on the governing failure mechanisms that are responsible for degradation and failure. This is even more important when high power and frequency devices, especially Normally Off Switch Power transistors are concerned, since the reliability research on those devices lay far behind that of low power digital devices. Our main goal in our lab is to investigate the failure mechanisms of GaN transistors, aimed at determining the reliability factors of the innovative MTOL model. The main goal is to understand the reason for the transformation of the failure mechanism. Employing the recorded data may enable us to predict the performance and life time of the device at different operation parameters such as current, voltage, frequency and temperatures. In this study we employ a new different use for the well-known boost convertor circuit, based on GaN Devices in order to stress the transistor to the maximum values of voltage and current which allows us to examine the reliability of the transistor and accelerating Hot Carrier And Trap Generation failures mechanisms. The acceleration of the failure mechanism should be done in a way that will not affect the electronic device detrimentally and on the other hand we would not need to wait a long time in order to observe the degradation. In this work we will present our new boost converter circuit based on high power GaN HEMT.
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.
SiC Chips Design Market Size The global market for SiC Chips Design was valued at US 4085 million in the year 2024 and is projected to reach a revised size of US 23310 million by 2031 growing at a CAGR ...
RFID Smart Cabinets Market reached US 935 53 Million in 2023 and is expected to reach US 2 081 23 Million by 2033 growing at a CAGR of 10 2 during the forecast period 2024 2033 Initial investment for RFID ...
USA New Jersey According to Verified Market Research analysis the Automotive Cybersecurity Market size was valued at USD 2 31 Billion in 2023 and is projected to reach USD 7 85 Billion in 2031 growing at a CAGR of 16 ...
This research paper provides a comprehensive analysis of how the convergence of Artificial Intelligence (AI) and Quantum Computing is reshaping modern cybersecurity. It examines emerging threats such as AI-driven attacks, deepfakes, automated vulnerability discovery, adversarial machine learning, and the future impact of quantum computers on classical cryptographic systems.The study evaluates NIST-standardized post-quantum cryptography algorithms, including CRYSTALS-Kyber, Dilithium, FALCON, and SPHINCS+, comparing their performance, implementation challenges, and readiness for large-scale deployment. It also investigates AI-based threat detection models, organizational preparedness across sectors, and hybrid security architectures that combine classical and quantum-safe methods.The paper highlights urgency due to accelerating quantum hardware advancements and recommends strategic steps for organizations, vendors, policymakers, and researchers to transition toward quantum-resilient cybersecurity.
The growing volume of data generated by Internet of Things (IoT) devices requires real-time processing architectures that can overcome the latency and bandwidth limitations of centralized cloud infrastructures. Fog computing provides a viable alternative by bringing computational resources closer to end users. This paper presents a fog-based architecture tailored to real-time recommendation systems in a smart shopping mall scenario. The system leverages container-based virtualization using Docker, orchestrated by Kubernetes, and deployed on lightweight fog nodes such as Raspberry Pi boards. We detail the configuration of the infrastructure, its hierarchical deployment, and evaluate its feasibility using performance indicators such as data transfer time and dynamic container management. Results show that the proposed infrastructure achieves low-latency responses and supports concurrent mobile user interactions, validating its effectiveness for real-world fog-based applications.
Here’s a RoundUp of this month’s must-read news about SiC, GaN, and Wide Bandgap Materials!
Onsemi, the US-based SiC manufacturer, secured €450 million of Czech State aid to build an integrated chip manufacturing plant.
Summary Cloud computing has enabled the accumulation, processing, and review of large volumes of Internet of Things (IoT) data in a more efficient manner. Cloud offerings such as Software as a Service, Infrastructure as a Service, and Platform as a Service are accessible across private, hybrid, public, and community cloud environments. This paper presents a detailed study of cloud computing on IoT with emphasis on privacy concerns for both technologies. The paper examines how cloud computing and IoT have common features and explores the benefits of their union. Furthermore, paper highlights the offering of cloud being used for computing purposes in IoT and how it has the potential to be used to improve its function. The cloud‐based IoT architecture is composed of perception, network, middleware, and application layers that collect, process, and manage data gathered from IoT devices. This data is then used to add value to end‐users. Message Queuing Telemetry Transport, Constrained Application Protocol, Advance Message Queueing Protocol, and Hypertext Transfer Protocol are some of the various cloud‐based IoT standards and protocols. This research paper also explores the various potential use cases of this technology in health care, transportation, smart homes, and agriculture, as well as the challenges involved in integrating IoT with the cloud. The research paper presents two case studies that illustrate the application of cloud architecture that is IoT based on intelligent environment home automation and industrial IoT optimization. The paper concludes by outlining the potential of cloud computing applications in IoT and highlighting future scope in this emerging technology.
In this paper, we explore and validate the feasibility of using electroencephalography (EEG) based brain-computer interfaces (BCIs) to issue basic control commands to unmanned aerial vehicles (UAVs). We focus on integrating human cognitive motor commands with Internet of Things (IoT) devices, enabling hands-free UAV control. In our approach, neural signals captured during motor imagery of a right-hand upward movement and a left-hand downward movement are translated into discrete UAV instructions (conceptually analogous to "hover" and "land" commands). EEG data were acquired from a 14-channel Emotiv Epoc X headset worn by 10 participants, and features such as band power in key frequency bands were extracted. A lightweight decision tree classifier was trained and evaluated in a leave-one-participant-out (LOPO) cross-validation scheme to assess how well the model generalizes across individuals. The results indicate that certain participants can achieve classification accuracies above 65% for the two mental commands, although average accuracy across all subjects was modest (~55%). These findings highlight both the promise and the challenges of EEG-based hands-free drone control. They demonstrate the potential of neural interfaces as a bridge between human thought and machine action in IoT contexts, while also underscoring the need for improved signal processing and personalization to handle inter-subject variability. This work lays important groundwork for more advanced BCI-driven UAV control frameworks, aiming toward intuitive human-IoT interactions in high-impact domains.
The rapid growth of consumer IoT devices has introduced unprecedented challenges in trustworthy anomaly detection against AI-enabled cyber threats, requiring real-time, privacy-preserving, and scalable defense mechanisms. Traditional centralized strategies face critical limitations, including communication bottlenecks, single points of failure, and privacy vulnerabilities when processing distributed consumer data. We propose SwarmSense-DNN, a novel decentralized neural framework employing swarm intelligence for secure, cooperative anomaly detection across distributed IoT environments. The framework integrates autonomous agents with deep neural networks to form a self-organizing defense system that detects evolving anomalies without centralized coordination. It utilizes hierarchical federated learning with graph neural networks and attention mechanisms to capture local and global anomaly behaviors while ensuring data privacy. Extensive experiments demonstrate SwarmSense-DNN’s superior performance: it achieves 95.44% average detection accuracy across five benchmark datasets while reducing communication overhead by 67%. The framework maintains robust resilience against adversarial threats through differential privacy safeguards and demonstrates strong fault tolerance under node failures and AI-enabled attacks.
This paper describes a real-time Extended Reality (XR) Heart Twin based on ECG IoT measurements from wearable devices. Recent research has highlighted the importance of non-Euclidean features, such as wavelet graphs and heart meshes, in conveying information about a user's condition and enabling effective visualization in XR interfaces. We propose an end-to-end architecture to generate an XR Heart Twin from signals acquired by wearable devices. The XR Heart Twin architecture includes IoT communication protocols and middleware for data processing, extending to a web-based XR visualization tool that presents up-to-date features characterizing the user's condition. The proposed architecture enables a scalable monitoring solution suitable for cloud deployment. Examples of outputs presented via the XR interface are shown using ECG signals from publicly available datasets, processed in real time to extract XRrelevant heart features. This approach enables continuous user monitoring through a responsive XR dashboard. Experimental results demonstrate how an XR Heart Twin based on IoT measurements can be developed for healthcare systems using automated deployment capabilities on modern cloud platforms.
Chronic stress significantly affects cardiovascular, psychological, and immune health, and contributes to conditions such as hypertension and depression. Recent advances in wearable technology, such as electrocardiogram (ECG) sensors, have enabled continuous, non-invasive monitoring of physiological stress responses. This paper introduces CardioMind, a lightweight deep learning model designed for real-time stress detection using ECG data. It processes short ECG segments to extract heart rate variability (HRV) features across the time, frequency, and non-linear domains. To improve generalization across individuals, we propose subject-specific baseline normalization based on resting states. The model was trained and evaluated on the WESAD dataset, a widely used benchmark for wearable stress detection. CardioMind achieved strong performance across subjects, reaching an average accuracy of 90.8% using leave-one-subject-out validation. Its low resource requirements and real-time processing make it a strong candidate for integration into Internet of Things (IoT)-enabled wearable devices for early stress detection and mental health support. To the best of our knowledge, CardioMind is among the first models to integrate robust HRV-based features with subject-specific normalization in a lightweight architecture suitable for real-world, wearable deployment.
Efficient and evenly distributed irrigation is a crucial factor in greenhouse seedling cultivation. However, conventional sprayers utilization is often associated with water wastage and uneven water distribution. In this study, an IoTbased automatic plant-watering robot was designed and developed, which controllable via Arduino Cloud and equipped with an automatic push button to enhance operational flexibility. The robot development was performed using prototype-based design approach. The robot was built using an ESP32 as the main microcontroller, a 12 V water pump, an L298N motor driver, and a push button used as a motion limit sensor. The results demonstrated that water usage was more efficient with the watering robot, achieving savings of $\mathbf{8 1. 6 7 \%}$ compared to the conventional sprayer method. The watering process performed by the robot was proven to be more controlled and evenly distributed, although slightly higher moisture levels were observed in the center area compared to the left and right sides. In the watering time evaluation, 2 minutes were required by the robot to match the volume of water dispensed by the sprayer in 1 minute, due to the intermittent watering pattern employed by the robot. These findings highlight potential application of the proposed technology in greenhouse seedling cultivation, thus promoting better trade-off between sustainability and economic benefits in the agriculture sector.
In a vulnerable environment, an IoT device with limited resources poses a significant security threat. As IoT networks become more complex, efficiency, scalability, and adaptability become more important. A lightweight IDS, driven by machine learning, is proposed for IoT environments in this paper. A proposed approach utilizes a combination of models such as Decision Trees, K-Nearest Neighbors, Support Vector Machines, and Multi-Layer Perceptrons, as well as feature selection and traffic modelling techniques, to detect intrusions accurately and efficiently. Benchmark datasets (KDD-99, NSL-KDD, and UNSW-NB15) are used to validate the system, demonstrating its competitive performance across a variety of attack categories.
Wireless sensor networks (WSNs) are critical for industrial IoT, healthcare, and environmental monitoring, yet limited energy resources constrain their reliability and longevity. This paper presents a hybrid reinforcement learning framework to optimize simultaneous wireless information and power transfer (SWIPT) in MIMO-enabled WSNs, enabling energy-autonomous and sustainable sensing. By integrating Sequential Parametric Convex Approximation (SPCA) with SARSA (State–Action–Reward–State–Action) and Qlearning, the framework employs power-splitting and time-switching techniques to enhance routing efficiency and energy harvesting in dynamic sensor fields. A nonlinear energy harvesting model captures practical circuit constraints, such as diode sensitivity and leakage currents, improving prediction accuracy. Simulations in a 1000×1000 m² area with distributed sensor nodes show up to 20% improvement in energy efficiency and 15% increase in data throughput over baseline methods. These advancements position the framework as a transformative solution for energy-constrained WSNs in 5G/6G-enabled IoT and smart sensor applications, paving the way for sustainable large-scale deployments.
New Jersey US State The global Ultra Wideband UWB Module market in the Information Technology and Telecom category is projected to reach USD 5 50 billion by 2031 growing at a CAGR of 18 5 from 2025 to 2031 With ...
New Jersey US State The global Rain Rfid Solutions 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 With rising ...
New Jersey US State The global Iot Smart Sensors Consumption market in the Information Technology and Telecom category is projected to reach USD 28 3 billion by 2031 growing at a CAGR of 12 3 from 2025 to 2031 With ...
Use code ONLINE30 to get 30 off on global market reports and stay ahead of tariff changes macro trends and global economic shifts How Large Will the Smart Lamps Market Size By 2025 In recent times the smart lamps market ...
The latest research publication on the Global Veterinary IoT Solutions Market 2025 2032 offers a comprehensive and data driven analysis of the industry landscape The report delivers actionable insights into the market s evolving dynamics backed by in depth quantitative ...
Renewable energy has emerged as one of the most reliable and widely accepted approaches to address the rising global energy requirements. Among these,…
Asia Pacific RFID Market size was valued at USD 3 34 Bn in 2022 and the total Asia Pacific RFID revenue is expected to grow by 10 4 from 2023 to 2029 reaching nearly USD 6 68 Bn The Asia ...
Summary The Third Generation Partnership Project has two parallel work streams related to the non‐terrestrial network (NTN): New Radio, NR‐NTN and internet of things (IoT)‐NTN. This chapter provides a foundation of long‐term evolution‐machine (LTE‐M), narrowband‐internet of things (NB‐IoT), and NR air interfaces by exploring their key features and overall operations. It briefly discusses the associated core networks, Evolved Packet Core and fifth‐generation (5G) core. 5G is a transformational cellular technology with the potential to significantly influence several industries and segments of the economy. The 5G System includes each user, the 5G access network, and the 5G Core Network (5GC). The chapter discusses the key features of LTE‐M and provides a brief overview of the LTE‐M radio interface, including the radio protocol stack and the physical layer frame structure.
This paper presents a comparative analysis of a novel tri-ESP32-based smart sliding gate system with existing published systems that employ RFID, GSM, and single-node microcontroller-based approaches. The proposed design utilizes a three-node ESP32 network architecture to achieve automated gate access based on vehicle proximity, IoT connectivity, and mobile app control. Performance metrics, including response time, access flexibility, system complexity, and user interaction, are benchmarked. The study reveals that the proposed system offers significant improvements in automation efficiency, real time monitoring, and security features.
The growing demand for the Internet of Things (IoT)-enabled lightweight, thin, durable, and cost-effective sensors have propelled the popularity of flexible and disposable sensor technologies in manufacturing. The utilization of these sensors and IoT systems has proven to be crucial in the development of cost-effective health monitoring solutions. This research introduces a multi-sensor patch having IoT capability with a capacitive pressure sensor built with porous Polydimethylsiloxane (PDMS) and a temperature sensor built with Poly(3,4-ethylenedioxythiophene) polystyrene sulfonate and Graphene oxide (PEDOT: PSS + GO) for continuous cardiac health monitoring. A single platform multi-sensor patch has been developed, showcasing a higher-pressure sensitivity of 4.65 %kPa-1 (pressure range of 0-6 kPa) and high-temperature sensitivity of 0.9 %°C-1. Rigorous testing under both relaxed and active conditions has yielded assuring results. The device attains an accuracy rate of 96.52 % for temperature sensing and 97.01 % for pressure sensing, comparable to similar existing sensors. The patch is integrated into a smartphone application with wireless data-transfer capability via Bluetooth Low Energy (BLE) to make it IoT-enabled.
The Global Flexible Hybrid Electronics FHE Market 2020 2035 is experiencing strong momentum as industries increasingly adopt lightweight flexible and multifunctional electronic systems Valued at USD 50 million in 2023 the market is projected to reach USD 360 million by ...
Using twin organic transistors, the device cancels out environmental noise, marking a major step toward truly reliable, next-gen wearable health tech.
In a groundbreaking development in the field of bioengineering, researchers are unlocking the potential of living bacteria as dynamic biosensors to detect DNA both in vitro and in vivo. This capable
E-HealthSensorenForschung & EntwicklungForscher der Stanford University um Projektleiterin Zhenan Bao haben von der Haut inspirierte Biosensoren entwickelt, die Gesundheitsdaten wie Herzfrequenz und Körpertemperatur mit weit höherer Zuverlässigkeit messen als bisher eingesetzte Geräte. Sie passten sich perfekt der Haut an, die sich aufgrund von Bewegungen verformt, was bisher eingesetzte Geräte, die die gleiche Aufgabe erfüllen sollen, mit Fehlmessungen quittierten.
Infineon Technologies has established and developed in collaboration with Silicon Austria Labs (SAL) a dedicated Ultra-Wideband (UWB) Application Lab in Graz, Austria.
A new solvent-evaporation method makes smooth, porous amorphous MOF films, boosting sensitivity and scalability for sensing and catalytic technologies.
Brazilian researchers have developed a low-cost, portable biosensor that can quickly identify a protein whose altered levels are associated with psychiatric disorders, such as depression, schizophrenia, and bipolar disorder. When it becomes commercially available in the future, it may contribute to early detection, which is essential for treating and monitoring patients' clinical conditions.
Animal models remain foundational to biomedical research, having contributed to the development of vaccines, drugs, and surgical innovations. But their continue
Wearables read sweat chemistry, but the numbers lie when the body moves. A new transistor trick strips out that drift and reveals the real signal.
Delray Beach, FL , Oct. 28, 2025 (GLOBE NEWSWIRE) -- The report
The IMX828 features 8-effective-megapixel*2 resolution and the industry's highest*1 level of high dynamic range (HDR) attributes. Externally mounted
Smart tattoo sensors are revolutionizing health tracking by turning your skin into a wearable tech interface for the future.
Rice University engineers glowing cells to track protein changes in real time, transforming disease research.
A study from the College of Engineering and Computer Science and the Sensing Institute (I-SENSE) at Florida Atlantic University reveals that foot-mounted wearable sensors and a 3D depth camera can accurately measure how people walk – even in busy clinical environments – offering a powerful and more accessible alternative to traditional gait assessment tools.
Northwest U.S. utility Puget Sound Energy (PSE) has joined with Norway-headquartered Heimdall Power on a dynamic line rating (DLR) pilot project in Washington state. The companies on October 22 said Heimdall is installing 75 advanced monitoring devices, known as "Neurons," on about 100 miles of electricity transmission lines across five counties in western Washington.
Mode Sensors has gained US Food and Drug Administration (FDA) clearance for Re:Balans, a fluid monitoring wearable, setting the stage for the sensor’s commercialisation in US clinical wards.
ASC treibt E-Mobilität voran: Auf der Testing Expo China zeigte das Unternehmen innovative Inertialsensoren, die Fahrzeugtests präziser, ...
Today's GPS smartwatches and other wearable devices give millions of runners reams of data about their pace, location, heart rate and more. But one thing your Garmin can't measure is plain old physics: How much force is being generated when your foot hits the ground and takes off again.
By type, absolute pressure sensors segment has dominated the pressure sensors market, in terms of revenue.
Die TDK Corporation gibt bekannt, dass es im Rahmen der im Juni 2025 angekündigten technologischen Zusammenarbeit mit dem Leichtathletik-Weltverband World Athletics (im Folgenden „World Athletics“) gelungen ist, die Daten eines Speerwurfs zu visualisieren.
The Jedsy X medical delivery drone expands medical access using UWB for precise location detection to reimagine healthcare.
Forschende der Boku und des Kompetenzzentrums Holz entwickeln biobasierte Materialien, die ihren Zustand eigenständig überwachen. Diese könnten für Bau, Produktion oder Logistik interessant werden.
Lidar Drone Market to grow from USD 2.58 Billion in 2025 to USD 12.5 Billion by 2035 at a CAGR of 17.1%, driven by rising use in mapping, surveying, and infrastructure monitoring.
Photonic Integrated Circuit Market Outlook The ICs use photons for carrying data unlike electronic ICs that utilize electrons for data transfer As optical rays can transmit more data and enable quicker data transfer rates than copper based communications they are ...
Researchers have significantly improved the efficiency of light transfer between optical fibres and tiny photonic chips, achieving over 80% coupling efficiency by simultaneously optimising the shape of both the fibre and the chip connector.
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