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Zwei Ex-Soldaten bauen mit Armis ein Milliarden-Startup – und schützen damit die Geräte, die bisher niemand auf dem Schirm hatte.
The growing adoption of IoT and cloud computing, combined with rapid advancements in digital technologies, has considerably increased the cyber-attack surface, resulting in increasingly complex and persistent attacks. Traditional security methods, primarily based on perimeter defenses, are insufficient to meet these developing threats, especially within the context of a Zero Trust Security (ZTS) architecture. This study investigates the application of sophisticated artificial intelligence (AI) and machine learning (ML) techniques, including the use of the Synthetic Minority Oversampling Technique (SMOTE), to improve anomaly detection and threat intelligence systems. This study focuses on how Support Vector Machine (SVM), Random Forest (RF), and Decision Tree (DT) classifiers might increase threat detection accuracy in IoT environments. The research endeavors to improve cybersecurity resilience by mitigating false positives and providing actionable intelligence through supervised learning algorithms. The KDD Cup 1999 dataset is used in the study to assess how well these models perform in simulating various network intrusions and regular traffic. The application of SMOTE significantly enhanced the performance of these models by addressing class imbalance, leading to improved detection accuracy. Furthermore, as supplementary methods for detecting malicious URLs and advanced persistent threats (APTs), edge-based machine learning and blockchain technology are investigated. This study addresses the shortcomings of conventional security systems and supports the growing demand for reliable threat detection in a world that is becoming more interconnected. It also advances the creation of more proactive and adaptable cybersecur
The use of emerging technologies such as artificial intelligence is increasing cybersecurity risks in the healthcare sector.
Algorithmic advances are steadily lowering the bar for quantum attacks—even before large-scale hardware exists.
TDK-Lambda (Chuo-ku, Tokyo), a subsidiary of TDK's power supply business, has developed a new board-type AC-DC power supply, the "ZWP300" series, and will begin production at its Senai plant in Johor, Malaysia...
Ziel ist ein „Unternehmen von Weltrang“: Der steirische Cybersecurity-Spezialist Markus Seme versammelt ehemalige Führungskollegen um sich und gründet ein Start-up.
New Managed Detection and Response (MDR) service from Siemens enables enhanced 24/7 cybersecurity for critical infrastructures Siemens offers comprehensive and
/PRNewswire/ -- Cloud Next '26 -- Today Vodafone Business and Google Cloud announce an expansion of their strategic partnership with two new solutions to equip...
PentAGI is an open-source autonomous AI penetration testing framework using multi-agent AI to execute security assessments in Docker.
The emergence of quantum computing challenges traditional security mechanisms, particularly in heterogeneous and resource-constrained IoT and smart environments that must satisfy DN25 requirements. This work introduces a reinforcement learning-driven model for the adaptive selection and orchestration of cryptographic algorithms. Acting as an intelligent decision layer, the system observes contextual, network, and operational metrics to recommend or enforce configurations combining classical schemes, post-quantum cryptography, and Quantum Key Distribution when available. The selection problem is formulated as a Markov Decision Process with state and action spaces aligned with protocol control flows and is embedded into a security middleware with negotiation and fallback mechanisms to ensure interoperability and policy compliance without modifying application logic. Experimental results demonstrate that the model dynamically adjusts key lengths, algorithm families, and security policies according to risk and resource conditions, increasing post-quantum cryptography and Quantum Key Distribution usage by up to 33.4% and 23.9% in high-risk scenarios while favoring low-latency classical or hybrid options for less critical traffic. The system achieves success rates above 78% while maintaining stable latency and resource usage during extended operation.
Der NTT DATA Audit Automator orientiert sich am IT-Grundschutz des BSI und liefert KI-gestützt hochwertige Echtzeit-Informationen für einen präzisen Konformitätsnachweis.
Infineon präsentiert einen GaN-Chip, der den Energieverbrauch in IoT-Geräten um bis zu 30% senkt. Ein wichtiger Schritt für die Erfüllung zukünftiger EU-Effizienzstandards.
Circuit design is not only relevant for electrical engineering. It can also be applied to interdisciplinary projects that require electrical input, output, or control, such as robotics, biomedical devices, renewable energy, and smart systems. Through interdisciplinary projects, the designer must understand the project goals and requirements, as well as the roles of other team members. Therefore, communication with collaborators is essential, as is the use of common standards and tools to ensure compatibility. In the framework of this CASS Seasonal School call, a 2-day school on “Interdisciplinary Applications of Circuits and Systems” was organized during October 16-17, in the Conference and Cultural Center of the University of Patras, Greece. At this educational event, basic and advanced issues on design methodologies targeting on interdisciplinary applications were presented, including the following: circuits and systems in biology/biomedicine, in agriculture, in cryptography, in control systems, in chaos, in RF applications, in Internet of Things (IoT) systems, in quantum computing, as well as the employment of artificial intelligence and machine learning techniques for designing circuits. In this book the following are introduced: • Chaotic oscillators and their real-world applications, the basic principles of the PID controllers followed by application design examples • Applications of circuits in agriculture, the employment of artificial intelligence (AI) and machine learning (ML) techniques for design • The design challenges and innovative solutions for energy harvesting for wearable and implantable devices • Medical and health applications of biosensing circuits and systems • Cryptographic hardware and embedded systems • Computer vision and deep learning techniques for electronic circuit inspection • Cryo-CMOS integrated circuits for scalable quantum computing • Energy-efficient analog circuits and systems for emerging RF applications.
In this episode of Chalk Talk, Eric Persson and Amelia Dalton explore why power is the key driver for efficient and reliable robot movements and how GaN technologies can help motor control…
The new chokes support 1250 V DC designs with compact size, high insulation, and improved EMI suppression for modern power systems.The post TDK Expands EMI Filter Portfolio with 1250 V DC Chokes appeared first on Power Electronics News.
Infineon Technologies treibt mit Power-MOSFETs die Elektromobilität voran und stärkt seine Position im europäischen Markt.
Siemens has launched a new, comprehensive portfolio of direct current (DC) protection and switching solutions, designed to meet the growing demand for sustainable, efficient, and reliable low-voltage...
Accenture and Anthropic launch their new AI-powered cybersecurity solution, Cyber.AI.
Singaporean authorities are urging businesses to harden cybersecurity defenses following the preview of Anthropic's "Mythos" AI model. The model's advanced
Artificial intelligence has triggered a paradigm shift, within which CERT-EU's new Cyber Threat Intelligence Framework takes on a particularly important role. Here's how it allows you to classify, evaluate, and prioritize malicious cyber activities.
(Bild: Maks Lab - stock.adobe.com) Arrow Electronics und NXP Semiconductors unterstützen Kunden zur Vorbereitung auf die CRA-Compliance. Sie kombinieren NXP-Sicherheitstechnologie mit eInfochips-Entwicklungskompetenzen. Der Prozess umfasst Risikoanalyse, Secure-by-Design-Hardware und sichere Bereitstellung in Arrow's Lager.
Ziel der Entwicklung ist ein offenes Chip-Design, das quantenresistente Kryptographie nativ unterstützt und auf Open-Source-Technologien basiert.
Die Einführung von GPT-5.4-Cyber markiert einen Wendepunkt im digitalen Wettrüsten. Unternehmen setzen verstärkt auf KI-gestützte Abwehrmechanismen gegen zunehmende IT-Bedrohungen.
The security of data communication in Smart Grids (SGs) is traditionally reliant on cryptosystems based on the computational difficulty of certain mathematical problems. However, the advent of quantum computers, with their unparalleled computational power, threatens the robustness of classical cryptographic methods. Despite significant research into quantum-secure solutions, limited attention has been given to quantum-based security in SGs. To address these emerging security challenges, this paper proposes a quantum-based multifaceted secure communication model (Qu-MCM) for SGs, offering unconditional security by leveraging quantum mechanical principles. The key contributions include: quantum encryption of power consumption data using truly random keys, a quantum-secure key exchange protocol between power users and utility suppliers, and data authentication and integrity verification through quantum fingerprinting. The model is experimentally evaluated via simulations on classical computer and actual quantum hardware using the IBM Qiskit platform. The experimental results show that the encryption algorithm achieves an accuracy of 81.73%, while the authentication algorithm reaches 87.4% through a probability distribution graph where accuracy signifies the dominance of correct outputs. The results demonstrate the validity of the proposed model, with a comprehensive security analysis confirming its perfect security, where perfect security is defined as the maximally mixed states achieved after encryption that is impossible to break for an eavesdropper equipped with quantum resources. Note to Practitioners—The advent of quantum computing poses a significant challenge to the security of smart grid communications, rendering traditional cryptographic methods increasingly vulnerable. This work introduces the Quantum-based Multifaceted Secure Communication Model (Qu-MCM), a practical framework designed to provide unconditional security for SGs using quantum mechanical principles. Qu-MCM integrates quantum encryption with truly random keys, a quantum-secure key exchange protocol, and data authentication via quantum fingerprinting to safeguard power consumption data and communication channels. Evaluations conducted on classical and quantum hardware via the IBM Qiskit platform demonstrate its effectiveness, achieving high encryption and authentication accuracy rates. This model provides multiple benefits to stakeholders and practitioners, including future-proofing SGs against conventional and quantum-era security threats as well, ensuring the confidentiality, integrity, and authenticity of critical data, and maintaining trust in utility operations. By addressing emerging security challenges, Qu-MCM empowers stakeholders to enhance grid reliability, comply with evolving security regulations, and protect consumer privacy in increasingly interconnected energy systems.
(Bild: phive2015 - stock.adobe.com) Am 14. April ist World Quantum Day: Quantencomputing bringt Chancen, aber „Harvest now, decrypt later“ erhöht Cybersicherheitsrisiken.
ams-OSRAM setzt auf Sensortechnik und Optoelektronik in wachsenden Märkten wie Automotive und Industrie, was langfristiges Wachstum verspricht.
Free magazine subscription Sigenergy has entered the European utility-scale photovoltaic systems market. Together with Arausol, a German-based PV specialist, and the European distributor Memodo, it…
Power electronics in the Industry 4.0 era are evolving to deliver higher efficiency and power density and simplify power design.
Engineers at Microsoft are working on two concepts that can reduce power loss and improve efficiency in data centers.
The silicon carbide fiber market is rapidly growing due to increasing demand for lightweight, high-strength, and heat-resistant materials in aerospace, automotive, and energy sectors.
High Voltage Transformer Suppliers Industry insights focus on the critical relationship between size and share, offering detailed forecasts that will assist stakeholders in making informed decisions through 2035.
GaN gate drivers from STMicroelectronics integrate protection and fast switching for motion control and power conversion designs.
ams-OSRAM AG fokussiert sich auf hochwertige Segmente wie Automotive-LiDAR und medizinische Sensorik, um von Megatrends wie Elektrifizierung und Digitalisierung zu profitieren.
Kann ams-OSRAM mit innovativen Sensoren und Optoelektronik in wachstumsstarken Märkten wie Automoti
Nürnberg - Carolin Börger leitet das Nürnberger Konverter-Werk von Siemens Energy – und freut sich auf den Umzug: „Das macht man nur einmal im Leben.“ Der für den Sommer 2026 geplante Wechsel an den neuen Standort neben dem Trafowerk wird sich aber verzögern.
Low-RDS(on) MOSFETs from STMicroelectronics aim to improve efficiency and reduce PCB area in automotive power distribution systems.
Der CAN-Bus wird in immer mehr Sensoren verbaut. RECOM zeigt die volle Bandbreite der hauseigenen ICs für Leistungselektronik, während STMicroelectronics in den M2-Speichermarkt einsteigt. Was es sonst Neues an Bauteilen gibt, verraten wir – wie immer – hier.
Infineon talks about how it is powering AI from the grid to the core as well as the infrastructure to support it.
MOSFETs von Infineon steuern Energie effizient in Autos, Erneuerbaren und Industrie – essenziell f
(Bild: TDK-Lambda) Eine moderne Energieverteilung erfordert oft eine ausgeklügelte Kombination von isolierten und nicht isolierten AC/DC- und DC/DC-Stromrichtern. Isolierte Wandler sind in erster Linie für den System- und Anwenderschutz bei Einzel- oder Mehrfachfehlern erforderlich.
Quad-phase module with TLVR boosts current density and transient response, enabling compact, efficient power delivery for AI processors.
The STL059N4S8AG 40V/420A MOSFET features ultra-low RDS(on), compact PowerFLAT 5x6 packaging, 175°C operation, and AEC-Q101 qualification for space-constrained automotive designs
© Foto: OpenAIKI-Rechenzentren brauchen mehr Strom und eine völlig neue Art, ihn zu verteilen. Solid-State-Transformatoren könnten einen Jahrhundertstandard ablösen. Was das für Siemens, ABB und Co. bedeutet.3
Analog Devices' Etienne Moulin examines how robotics and automotive power architectures are converging around 48V, EMI, and efficiency.
Geneva, Switzerland, April 1, 2026 — STMicroelectronics has announced two new high-speed half-bridge gate drivers that bring gallium-nitride (GaN) efficiency, thermal performance, and miniatu…
We just wrapped up the AS7343 breakout from ams-OSRAM, with 14-channel spectral sensing, and we saw that their webpage recommended a new version of this sensor called the TCS3448. It’s software compatible with the AS7343, so that’s nice to not have to write a new driver! We’ll figure out what the differences are, but for […]
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...
Infineons Power-MOSFETs optimieren die Energieeffizienz in E-Mobilität und Industrie 4.0. Anleger in der DACH-Region profitieren von wachsender Halbleiternachfrage.
Quantum lidar uses entanglement to push beyond the noise limits of classic sensing, and could one day eliminate range constraints entirely.
The Light Detection and Ranging (LiDAR) Market is witnessing strong growth due to rising demand for high-precision mapping, autonomous vehicles, and advanced remote sensing applications. LiDAR technology is transforming industries such as automotive,
Fraunhofer IPMS and partners launch FastSense Project to advance AI‑enabled environmental sensor technology.
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.
Melexis NV (ISIN: BE0165385973) ist ein führender Entwickler integrierter Schaltkreise für die Aut
Call for proposals to advance the development of key lidar technologies. This initiative focuses on maturing lidar-based Gust Load Alleviation (GLA) systems to TRL 5, a critical milestone for the Ultra-Efficient Short and Medium-range (SMR) aircraft concept. By enabling high aspect ratio wings to bypass traditional wing-sizing criteria, these technologies aim to reduce wing root bending moments by up to 20%, contributing to a total 30% reduction in CO2 emissions compared to 2020 standards. The program offers a total funding pool of EUR 5 million, with individual awards available for the full amount. Selected projects are expected to identify, mature, and qualify hardware components under rigorous operational conditions, including electromagnetic and thermal stress. The scope includes: Developing real-time 3D wind reconstruction algorithms compatible with aircraft flight control architectures; Integrating sub-system technologies to demonstrate full lidar measurement capabilities in representative environments; Validating system performance through simulations that couple wind measurement to GLA functions; and Establishing a credible industrialization roadmap toward TRL 6 and eventual Entry into Service (EIS) by 2035.
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
Die neue Softwareplattform ermöglicht die reproduzierbare Wiedergabe realer Sensor- und Fahrzeugdaten und unterstützt die Validierung von ADAS- und automatisierten Fahrfunktionen im Labor.
/CNW/ -- Hikvision, a leading AIoT solution provider, has announced LinkVu, a visual, full-cycle solution designed to empower IoT and networking project...
Das Fraunhofer-Institut für Photonische Mikrosysteme IPMS startet gemeinsam mit dem Helmholtz-Zentrum für Umweltforschung (UFZ) und dem Zentrum für angewandt
(Bild: Antonino Miceli/Argonne National Laboratory) Riesige Datenmengen sind beim Systemdesign oft der Flaschenhals. Forscher haben nun einen Matrix-Mathematik-Prozessor direkt in die Architektur eines Röntgendetektors integriert. Das reduziert das zu übertragende Datenvolumen in Echtzeit und entlastet die nachgelagerten Schnittstellen erheblich.
Ultra Wideband Uwb Antennas Market Is Projected To Grow $3500M by 2035 | 14.5% CAGR (2025-2035) | Wiseguy Reports
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-
Global Radio Frequency Biosensors Market Research Report: By Device Type (Passive RFID Tags, Active RFID Tags, Implantable RFID Tags), By Frequency Range (Low-
“Reading the Rotational Direction of Light” — DGIST Has Developed Next-Generation Ultra-Wideband Optical Sensor to Advance Quantum CommunicationBy Daegu Gyeongbuk Institute of Science and Technology (DGIST)- Professor Jiwoong Yang’s team has developed a quantum-dot-based “circularly polarized light” sensor covering ultraviolet to infrared spectrum.- Breakthrough design introduces chiral structures into charge transport pathways, overcoming material and wavelength limitations of conventional optical
NIT Rourkela develops multi-sensor AI system for accurate patient sleep posture detection
A luminescent calcium biosensor, CalLuc-2.1 converts transient Ca²⁺ spikes into stable signals, enabling simple endpoint assays for Gq/11-coupled GPCR drug screening and direct detection of endogenous ligands in human serum
Decoding skin gases can reveal a lot about our health. Here, the authors introduce a monolithic AI-powered wearable ring designed to non-invasively monitor dermal volatile-organic-compounds associated with diet-related metabolism.
Roche bringt mit dem Accu-Chek SmartGuide einen innovativen Glukosesensor auf den Markt. Das Gerät
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
In the 21st century, there have been radical changes in healthcare related to the transition from a universal approach to personalized medicine based on the unique characteristics of each patient. In large part, this has become possible due to the development and distribution of wearable medical dev …
What if distance could be measured without lasers or timing? A camera-based optical method hints at a simpler way to track objects.
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.
ConSense Softwarelösungen erleichtern Aufbau und Steuerung eines ISMS
NIST's updated DNS security guide covers encrypted DNS, protective DNS, and DNSSEC for teams managing enterprise infrastructure.
The migration to post-quantum cryptography is urgent for Internet of Things devices with 10-20 year lifespans, yet no systematic benchmarks exist for the finalised NIST standards on the most constrained 32-bit processor class. This paper presents the first isolated algorithm-level benchmarks of ML-KEM (FIPS 203) and ML-DSA (FIPS 204) on ARM Cortex-M0+, measured on the RP2040 (Raspberry Pi Pico) at 133 MHz with 264 KB SRAM. Using PQClean reference C implementations, we measure all three security levels of ML-KEM (512/768/1024) and ML-DSA (44/65/87) across key generation, encapsulation/signing, and decapsulation/verification. ML-KEM-512 completes a full key exchange in 36.3 ms consuming 2.87 mJ--17x faster and 94% less energy than ECDH P-256 on the same hardware. ML-DSA signing exhibits high latency variance due to rejection sampling (coefficient of variation 61-71%, 99th-percentile up to 1,115 ms for ML-DSA-87). The M0+ incurs only a 1.8-1.9x slowdown relative to published Cortex-M4 results, despite lacking 64-bit multiply, DSP, and SIMD instructions. All code, data, and scripts are released as an open-source benchmark suite for reproducibility.
Stop bolting on security. Discover why embedding OT cybersecurity during the specification stage ensures resilient and compliant automation projects.
Plus: US takes down Iranian propaganda sites; Marketing company asks 'Why Do We Have Your Information?' And more! Infosec In Brief Russian intelligence-affiliated parties are…
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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