Artificial intelligence (AI), cybersecurity, and digital infrastructure are becoming increasingly important components of national security in Latin America.
Chris Dimitriadis of ISACA warns about the growing gap in AI use between attackers and defenders, urging faster adoption in cybersecurity.
Check Point Research reports in the AI Security Report 2026 that AI executes cyberattacks autonomously and shortens response times for defenders.
As organizations worldwide face increasing concerns over data privacy, cloud security and emerging quantum computing risks, DORTRESS Technologies is redefining
Nihon Kotsu suffers malware attack, but there's no evidence of data exfiltration yet.
Verschärfte IT-Vorschriften, ein wegweisendes Urheberrechtsurteil und sinkende Kameraverkäufe prägen die Fotobranche im Sommer 2026.
IT leaders need to act now to procure the next wave of secure and standard compliant systems they need for the year ahead.
The ST54M places an NFC controller, secure element, and eSIM on one die and adds a hardware accelerator for NIST's post-quantum algorithms.
NextGO Epi, a Berlin-based DeepTech startup developing Gallium Oxide epitaxial wafers for next-generation power semiconductor devices, has secured a €2
Engineering Reports, Volume 8, Issue 7, July 2026.
WASHINGTON, D.C. – The Department of Commerce’s CHIPS Program Office announced today the signing of a Direct Funding Agreement with Robert Bosch Semiconductor
KI-generierte Angriffe steigen rasant: Erster vollautonomer Ransomware-Angriff dokumentiert, IoT-Geräte im Visier.
AI & Emerging Cybersecurity is redefining digital defense through intelligent automation, evolving threats, and new security challenges that every organization must understand.
Bosch startet in Roseville (Kalifornien) die Musterfertigung für SiC-Chips. Bis zu 225 Mio. US-Dollar Fördermittel aus dem US-Chip-Programm begleiten den Serienhochlauf.
Publication date: November 2026Source: Journal of Information Security and Applications, Volume 102Author(s): Meera K․, Priyanshu Mishra, Vasanth C․, Selvaganesan N․
The 860W DC/DC intermediate bus converter (IBC) delivers high efficiency, regulated output and peak power for AI server workloads.
Infineon Technologies AG and LS ELECTRIC have signed a Memorandum of Understanding (MoU) to collaborate on high-efficiency direct current (DC) power infrastructure solutions for AI data centers and next-generation power grids.
ABB has completed its acquisition of Italian transformer specialist Specialtrasfo. The transaction adds three production sites and specialised medium-voltage manufacturing capability.
(Bild: TAIYO YUDEN) 48 V vehicle electrical systems, driver assistance systems, and electrified drives are placing increasingly higher demands on power supply. With new hybrid aluminum electrolytic capacitors for up to 80 V and high ripple currents, Taiyo Yuden is responding to this trend.
physica status solidi (a), Volume 223, Issue 14, 22 July 2026.
Publication date: September 2026Source: Microelectronics Journal, Volume 175Author(s): Lilu Feng, Peng Sun, Yuxi Liang, Huayang Zheng, Ningyi Li, Mingrui Zou, Jiakun Gong, Ruihong Luo, Zheng Zeng
Publication date: 15 July 2026Source: Journal of Alloys and Compounds, Volume 1077Author(s): Xiangyun Zhang, Kewei Liu, Jialin Yang, Fuwang Zhou, Xing Chen, Yongxue Zhu, Zhen Cheng, Binghui Li, Dezhen Shen
ROHM has developed a new lineup of 600V Super Junction MOSFETs, the R60xxXNx and R60xxWNx series. . In the data
New 600V super junction MOSFETs improve thermal performance, reduce switching losses, and simplify second-source replacement, enabling compact, efficient power designs for AI servers, industrial systems, and inverters.
Das Münchner Start-up Quantum Diamonds hat 91 Millionen Euro an Finanzierung erhalten, um eine bahnbrechende Technologie zur Verbesserung der Chipproduktion zu…
Publication date: January 2027Source: Electric Power Systems Research, Volume 262Author(s): François Pacaud, Armin Nurkanović, Anton Pozharskiy, Alexis Montoison, Sungho Shin
Publication date: January 2027Source: Electric Power Systems Research, Volume 262Author(s): Renwu Yan, Binghui Chen, Xinjie Lin, Shuhui Wu
Publication date: February 2027Source: Electric Power Systems Research, Volume 263Author(s): Vassili Koklis, Pierre Henneaux
Publication date: January 2027Source: Electric Power Systems Research, Volume 262Author(s): Régulo E. Ávila-Martínez, Luis Rouco, Javier Renedo, Lukas Sigrist, Aurelio Garcia-Cerrada
Publication date: January 2027Source: Electric Power Systems Research, Volume 262Author(s): Oumar Diene, Nasim Rashidirad, Alireza Masoom, Seyed Masoud Mohseni-Bonab, Vincent Choinière
Foxconn Chairman Young Liu recently revealed that one of the group's IC design subsidiaries is preparing for a Taiwan listing as early as 2026, potentially on the Taiwan Innovation Board. While Liu did not identify the company, industry observers believe the most likely candidate is Socle Technology Corp (Socle).
Mitsubishi Chemical and Japan Steel Works (JSW) plan to expand their gallium nitride (GaN) production capacity for next-generation power semiconductor substrates by 2027...
Publication date: 1 November 2026Source: Applied Energy, Volume 422Author(s): Ghulam Abbas, Hammad Alnuman, Mohammed Hatatah, Aamir Ali, Rameez Akbar Talani, Ezzeddine Touti
Spotlight auf: Unsere Area of Excellence "Power Electronics" trifft am 26. November 2026 auf "Railway Solutions". Jetzt anmelden!
Terumo Interventional Systems (TIS) has reported the first clinical use of its Opuswave Dual Sensor Imaging System in the US.
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(Bild: Hochschule RheinMain) Mikrosysteme (MEMS) sind das Rückgrat der Prozessmesstechnik. Doch die Anforderungen, getrieben durch die Energiewende, reicht die Mikrometer-Skala oft nicht aus. Wissenschaftler der Hochschule RheinMain (HSRM) haben nun eine Technologieplattform vorgestellt, die Nanostrukturen direkt in MEMS integriert.
Redwood AI Corp. (CSE: AIRX) (OTCQB: RDWCF) (FWB: Y0N, WKN: A422EZ) („Redwood“ oder das „Unternehmen“) gibt im Anschluss an ihre Pressemitteilung vom 28. Mai 2026 bekannt, dass es eine Aktienkaufvereinbarung vom 26. Juni 2026 (die „Vereinbarung“) mit Quantum.IQ Technologies
Voice phishing represents a rapidly evolving form of cyber-enabled financial fraud that exploits telecommunications networks to deceive victims. Traditional reactive policing approaches face significant limitations in preventing such crimes in real time. This study introduces a data-driven framework for the proactive detection of phone numbers linked to voice phishing operations using large-scale call log data from South Korea. Behavioral features derived from call metadata were utilized to capture distinctive communication patterns that differentiate fraudulent users from legitimate ones. A stepwise logistic regression model was initially employed to identify key predictors of fraudulent behavior, followed by advanced machine learning models–including random forest, gradient boosting, and Multi-Layer Perceptron (MLP)—for classification. The results reveal that voice phishing numbers display unique behavioral characteristics, such as concentrated weekday activity, shorter call durations, higher outgoing call ratios, and a preference for Mobile Virtual Network Operator (MVNO) usage. The proposed models achieved high performance, exceeding 95% accuracy and 97% recall, demonstrating their robustness in detecting suspicious numbers. These findings underscore the potential of integrating artificial intelligence and behavioral analytics into proactive fraud detection systems and contribute to the development of early-warning mechanisms for preventing telecommunication-based financial crimes.
Cadence Tensilica Vision DSPs deliver a unique combination of programmability and performance, enabling Aeva to add flexibility, scalability and customizations to the lidar processing pipeline.
Das chinesische KI-Unternehmen Zhipu AI – auch unter dem Namen Z.ai bekannt – hat mit GLM-5.2 ein neues KI-Modell veröffentlicht, das laut
STMicroelectronics Launches ST54M Mobile Chip for Quantum Security
Infineon introduces the AIROC™ UWB TSL100 for precise positioning and smart presence detection on a single chip
Infineon presents microcontroller and sensor solutions for the future of AI, IoT, mobility, and robotics at embedded world 2026
Aptiv provides sensor fusion from radar and vision using AI to enable Robust.AI's Carter robot to move safely around people.
Forscher am Leibniz-IPHT entwickeln sulfatgelenkte Silber-Dendriten für SERS: stabile Raman-Sensoroberflächen, die Blutplasma-Medikamentenspiegel für fünf Wirkstoffe auch nach Monaten präzise erfassen.
24.06.2026 - Das neue Pixeldesign und der neue Algorithmus sorgen für eine um mehr als 20 % höhere Auflösung im Vergleich zu herkömmlichen Produkten von Sony.ATSUGI, Japan, 24. Juni 2026 /PRNewswire/ - Die Sony Semiconductor Solutions Corporation (Sony) gab ...
/PRNewswire/ -- Drive Group, comprising six leading transportation and infrastructure companies in Israel, and the technology company Innoviz Technologies Ltd....
This paper presents a non-learning-based, seed-dependent, semi-automatic pedestrian candidate generation pipeline for LiDAR point clouds. The proposed method is designed to support 3D annotation workflows by reducing irrelevant candidate clusters while improving the reliability of pedestrian candidate selection under distance-dependent point sparsity. The pipeline integrates distance-aware DBSCAN clustering, Single Template Matching (STM), and Centralized Point Augmentation (CPA). First, LiDAR points within the camera field of view are preprocessed, and pedestrian candidate clusters are generated using DBSCAN parameters configured according to distance intervals. Ground-snapping-based bounding-box refinement and height-based filtering are then applied to improve geometric consistency and reduce non-pedestrian candidates. In the second stage, STM compares PCA-aligned projected silhouettes of candidate clusters with a seed pedestrian template to suppress false positives. To address silhouette instability caused by sparse mid-range pedestrian points, CPA adds centroid-contracted points in the projection-relevant plane before template matching. Experiments on pedestrian-containing frames from the KITTI dataset show that STM improves precision from 27.6% to 60.5% and increases the F1-score from 36.8% to 51.4% compared with the initial DBSCAN-based candidate generation stage. The final CPA configuration improves recall from 44.7% to 46.7% and the overall F1-score from 51.4% to 52.1%, while revealing a precision–recall trade-off. Supplementary IoU analysis shows that the final DBSCAN–STM–CPA configuration maintains meaningful spatial overlap with pedestrian ground-truth boxes, achieving 88.9% at 3D IoU ≥ 0.10 and 81.6% at BEV IoU ≥ 0.25. Runtime analysis further shows that height-based filtering reduces the average per-frame processing time from 151.5 ms to 125.1 ms, while the final CPA configuration introduces only a small overhead, resulting in 126.2 ms per frame. These results demonstrate that the proposed DBSCAN–STM–CPA pipeline can provide reliable pedestrian candidates for semi-automatic 3D labeling without requiring class-specific detector training.
STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum of electronics applications, today announced the...
Die Smart City Sensor Nodes von MinebeaMitsumi lauschen dem Verkehr, messen Umweltwerte und liefern
ictkSchweizKommunikationDas neue Schweizer Mobile Sicherheitskommunikationssystem (MSK) soll bis 2035 das bestehende Polycom-Netz ablösen und künftig die sichere Kommunikation von Bund, Kantonen und Betreibern kritischer Infrastrukturen gewährleisten. Mit der Unterzeichnung des Projektinitialisierungsauftrags haben die Bundesräte Martin Pfister und Beat Jans gemeinsam mit Landesfähnrich Jakob Signer (AI), Präsident der RK MZF, und Regierungsrätin Karin Kayser-Frutschi (NW), Präsidentin der KKJPD, heute den Startschuss für das Projekt abgefeuert.
ENISA was due to meet Anthropic on Thursday over Mythos access, a meeting set before a US export directive complicated it, the EU Commission says.
CrowdStrike and AWS have introduced new AI, cloud and SIEM security capabilities to help organizations protect AI applications and cloud workloads. Technology For SMEs | Cloud for SMEs
WASHINGTON, June 18 — US President Donald Trump said in a Truth Social post today that Apple has agreed to work with Intel to design and manufacture its chips in the United...
Researchers in Germany have brought Europe’s first and only superconducting TES-array X-ray spectrometer online at the BESSY II synchrotron, a leading
In a groundbreaking advancement that promises to reshape the landscape of wearable technology and soft robotics, researchers at the Korea Advanced Institute of Science and Technology (KAIST) have
UC Berkeley researchers built an electronic nose that uses carbon nanotube sensors and AI to detect food spoilage and identify allergens.
Apple bringt Ende-zu-Ende-Verschlüsselung für RCS-Chats zwischen iOS und Android. Neue Abo-Modelle
The update to the ACN Guidelines on Cryptographic Functions marks an important step toward the post-quantum transition. Among new guidance on digital signatures, TLS, and crypto-agility, the need to rethink cryptography as a strategic element of national security emerges.
17.06.2026 - IonQ (NYSE: IONQ), the world’s leading quantum platform company, today announced Clavis XG Multiplex, a new addition to the company’s Clavis XG Quantum Key Distribution (QKD) portfolio designed to make quantum security even more practical and ... Seite 1
Neuartige Sensoren ermöglichen eine präzise molekulare Diagnostik aus Blutproben, die effizienter, ressourcenschonender und breiter zugänglich ist als derzeitige Laborverfahren.
A tiny electronic sensor that can be swallowed like a pill may soon provide one of the most accurate ways to measure body temperature. Engineers at the Massachusetts Institute of Technology (MIT) have developed a miniature device that continuously monitors temperature from inside the digestive tract, potentially helping doctors detect infections earlier and better manage […]
Technology groups MAHLE and Rohde & Schwarz have jointly developed a technical application that, for the first time
MIT engineers developed a tiny ingestible sensor that can send continuous temperature updates from the GI tract.
Die Sensor+Test hat vom 9. bis 11. Juni 2026 in Nürnberg erneut Fachbesucher aus den Bereichen Sensorik, Mess- und Prüftechnik zusammengebracht. Mit ihrer Fokussierung auf diese Kerntechnologien und der gleichzeitigen Vielfalt an Anwendungsfeldern bietet die Messe einen umfassenden Überblick über aktuelle Entwicklungen und Trends der Branche. Im Mittelpunkt stehen dabei Technologien, die die Gewinnung und Nutzung von Messdaten in Industrie, Forschung und Entwicklung ermöglichen.
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.
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