Investing in connected mobility can create a decisive backbone, allowing cities to deploy autonomous vehicles for safety and efficiency.
The post <a href="https://www.eetimes.com/road-to-autonomous-vehicles-why-cities-are-lagging/">Road to Autonomous Vehicles &#8211; Why Cities Are Lagging</a> appeared first on <a href="https://www.eetimes.com">EE Times</a>.

تتخلف المدن حاليًا عن نشر المركبات الذاتية القيادة، التي يمكن أن تعزز السلامة والكفاءة. إن الاستثمار في التنقل المتصل أمر ضروري لإنشاء البنية التحتية اللازمة لهذه التقنيات، مما يجعلها محورًا حاسمًا لتطوير المدن.

Las ciudades están rezagadas en el despliegue de vehículos autónomos, que podrían mejorar la seguridad y la eficiencia. Invertir en movilidad conectada es esencial para crear la infraestructura necesaria para estas tecnologías, lo que lo convierte en un enfoque crítico para el desarrollo urbano.

Les villes accusent un retard dans le déploiement des véhicules autonomes, qui pourraient améliorer la sécurité et l'efficacité. Investir dans la mobilité connectée est essentiel pour créer l'infrastructure nécessaire à ces technologies, ce qui en fait un axe critique pour le développement urbain.

Cities are currently lagging in the deployment of autonomous vehicles, which could enhance safety and efficiency. Investing in connected mobility is essential to create the necessary infrastructure for these technologies, making it a critical focus for urban development.

Road to Autonomous Vehicles – Why Cities Are Lagging

Guardio is leveraging its experience building browser extensions and apps that scan for malicious and phishing sites to build a tool that looks for artifacts in code and websites made with vibe coding tools.

نجحت شركة Guardio الناشئة في مجال الأمن السيبراني في تأمين 80 مليون دولار من التمويل من ION Crossover Partners. تشتهر الشركة بخبرتها في تطوير إضافات المتصفح والتطبيقات التي تكشف عن المواقع الضارة والمحتالة. تخطط Guardio لاستخدام هذا التمويل لإنشاء أداة تبحث عن الآثار في الشيفرة والمواقع التي تم إنشاؤها باستخدام أدوات البرمجة vibe.

La startup de seguridad Guardio ha asegurado 80 millones de dólares en financiamiento de ION Crossover Partners. La empresa es conocida por su experiencia en el desarrollo de extensiones de navegador y aplicaciones que detectan sitios maliciosos y de phishing. Guardio planea utilizar estos fondos para crear una herramienta que identifique artefactos en el código y sitios web construidos con herramientas de codificación vibe.

La startup de sécurité Guardio a obtenu 80 millions de dollars de financement de la part d'ION Crossover Partners. Connue pour son expertise dans le développement d'extensions de navigateur et d'applications détectant les sites malveillants et de phishing, Guardio prévoit d'utiliser ce financement pour créer un outil identifiant les artefacts dans le code et les sites web construits avec des outils de codage vibe.

Security startup Guardio has secured $80 million in funding from ION Crossover Partners. The company is known for its expertise in developing browser extensions and applications that detect malicious and phishing websites. Guardio plans to utilize this funding to create a tool that identifies artifacts in code and websites built with vibe coding tools.

Security startup Guardio nabs $80M from ION Crossover Partners

A new artificial intelligence startup founded by the creators of <a href="https://opencv.org/">the world&#x27;s most widely used computer vision library</a> has emerged from stealth with technology that generates realistic human-centric videos up to five minutes long — a dramatic leap beyond the capabilities of rivals including OpenAI&#x27;s <a href="https://openai.com/sora/">Sora</a> and Google&#x27;s <a href="https://deepmind.google/models/veo/">Veo</a>.<a href="https://craftstory.com/">CraftStory</a>, which launched Tuesday with $2 million in funding, is introducing Model 2.0, a video generation system that addresses one of the most significant limitations plaguing the nascent AI video industry: duration. While OpenAI&#x27;s <a href="https://openai.com/index/sora-2/">Sora 2</a> tops out at 25 seconds and most competing models generate clips of 10 seconds or less, CraftStory&#x27;s system can produce continuous, coherent video performances that run as long as a typical YouTube tutorial or product demonstration.The breakthrough could unlock substantial commercial value for enterprises struggling to scale video production for training, marketing, and customer education — markets where brief AI-generated clips have proven inadequate despite their visual polish.&quot;If you really try to create a video with one of these video generation systems, you find that a lot of the times you want to implement a certain creative vision, and regardless of how detailed the instructions are, the systems basically ignore a part of your instructions,&quot; said Victor Erukhimov, CraftStory&#x27;s founder and CEO, in an exclusive interview with VentureBeat. &quot;We developed a system that can generate videos basically as long as you need them.&quot;<h3>How parallel processing solves the long-form video problem</h3>CraftStory&#x27;s advance rests on what the company describes as a parallelized diffusion architecture — a fundamentally different approach to how AI models generate video compared to the sequential methods employed by most competitors.Traditional video generation models work by running diffusion algorithms on increasingly large three-dimensional volumes where time represents the third axis. To generate a longer video, these models require proportionally larger networks, more training data, and significantly more computational resources.<a href="https://craftstory.com/">CraftStory</a> instead runs multiple smaller diffusion algorithms simultaneously across the entire duration of the video, with bidirectional constraints connecting them. &quot;The latter part of the video can influence the former part of the video too,&quot; Erukhimov explained. &quot;And this is pretty important, because if you do it one by one, then an artifact that appears in the first part propagates to the second one, and then it accumulates.&quot;Rather than generating eight seconds and then stitching on additional segments, CraftStory&#x27;s system processes all five minutes concurrently through interconnected diffusion processes.Crucially, CraftStory trained its model on proprietary footage rather than relying solely on internet-scraped videos. The company hired studios to shoot actors using high-frame-rate camera systems that capture crisp detail even in fast-moving elements like fingers — avoiding the motion blur inherent in standard 30-frames-per-second YouTube clips.&quot;What we showed is that you don&#x27;t need a lot of data and you don&#x27;t need a lot of training budget to create high quality videos,&quot; Erukhimov said. &quot;You just need high quality data.&quot;Model 2.0 currently operates as a video-to-video system: users upload a still image to animate and a &quot;driving video&quot; containing a person whose movements the AI will replicate. CraftStory provides preset driving videos shot with professional actors, who receive revenue shares when their motion data is used, or users can upload their own footage.The system generates 30-second clips at low resolution in approximately 15 minutes. An advanced lip-sync system synchronizes mouth movements to scripts or audio tracks, while gesture alignment algorithms ensure body language matches speech rhythm and emotional tone.<h3>Fighting a war chest battle with $2 million against billions</h3>CraftStory&#x27;s funding comes almost entirely from <a href="https://finance.yahoo.com/news/2-25-billion-exit-taught-130300997.html">Andrew Filev</a>, who sold his project management software company Wrike to Citrix for <a href="https://techcrunch.com/2021/01/19/citrix-is-acquiring-wrike-from-vista-for-2-25b/">$2.25 billion</a> in 2021 and now runs <a href="https://zencoder.ai/">Zencoder</a>, an AI coding company. The modest raise stands in stark contrast to the billions flowing into competing efforts — OpenAI has <a href="https://www.reuters.com/technology/artificial-intelligence/openai-closes-66-billion-funding-haul-valuation-157-billion-with-investment-2024-10-02/">raised over $6 billion</a> in its latest funding round alone.Erukhimov pushed back on the notion that massive capital is prerequisite for success. &quot;I don&#x27;t necessarily buy the thesis that compute is the path to success,&quot; he said. &quot;It definitely helps if you have compute. But if you raise a billion dollars on a PowerPoint, in the end, no one is happy, neither the founders nor the investors.&quot;Filev defended the David-versus-Goliath approach. &quot;When you invest in startups, you&#x27;re fundamentally betting on people,&quot; he said in an interview with VentureBeat. &quot;To paraphrase Margaret Mead: never underestimate what a small group of thoughtful, committed engineers and scientists can build.&quot;He argued that CraftStory benefits from a focused strategy. &quot;The big labs are in an arms race to build general-purpose video foundation models,&quot; Filev said. &quot;CraftStory is riding that wave and going very deep into a specific format: long-form, engaging, human-centric video.&quot;<h3>Why computer vision expertise matters in generative AI video</h3>Erukhimov&#x27;s credibility stems from his deep roots in computer vision rather than the transformer architectures that have dominated recent AI advances. He was an early contributor to <a href="https://opencv.org/">OpenCV</a> — the Open Source Computer Vision Library that has become the de facto standard for computer vision applications, with over <a href="https://github.com/opencv/opencv">84,000 stars on GitHub</a>.When Intel reduced its support for OpenCV in the mid-2000s, Erukhimov co-founded Itseez with the explicit goal of maintaining and advancing the library. The company expanded OpenCV significantly and pivoted toward automotive safety systems before Intel acquired it in 2016.Filev said this background is precisely what makes Erukhimov well-positioned for video generation. &quot;What people sometimes miss is that generative AI video isn&#x27;t just about the generative part. It&#x27;s about understanding motion, facial dynamics, temporal coherence, and how humans actually move,&quot; Filev said. &quot;Victor has spent his career mastering exactly those problems.&quot;<h3>Enterprise focus targets training videos and product demos</h3>While much of the public excitement around AI video generation has centered on creative tools for consumers, CraftStory is pursuing a decidedly enterprise-focused strategy.&quot;We are definitely thinking about B2B more than consumer,&quot; Erukhimov said. &quot;We&#x27;re thinking about companies, specifically software companies, being able to make cool training videos and product videos and launch videos.&quot;The logic is straightforward: corporate training, product tutorials, and customer education videos often run several minutes and require consistent quality throughout. A 10-second AI clip cannot effectively demonstrate how to use enterprise software or explain a complex product feature.&quot;If you need a longer-form video, then you should go with us,&quot; Erukhimov said. &quot;We can create up to five minutes, consistent video, high quality.&quot;Filev echoed this assessment. &quot;One huge gap in this market is the lack of models that can generate consistent videos over longer sequences — and that&#x27;s extremely important for real-world use,&quot; he said. &quot;If you&#x27;re creating a commercial for your company, a 10-second video, no matter how good it looks, just isn&#x27;t enough. You need 30 seconds, you need two minutes — you need more.&quot;The company anticipates cost savings for customers. Filev suggested that &quot;a small business owner could create content in minutes that previously would have cost $20,000 and taken two months to produce.&quot;CraftStory is also courting creative agencies that produce video content for corporate clients, with the value proposition centered on cost and speed: agencies can record an actor on camera and transform that footage into a finished AI video, rather than managing expensive multi-day shoots.The next major development on CraftStory&#x27;s roadmap is a text-to-video model that would allow users to generate long-form content directly from scripts. The team is also developing support for moving-camera scenarios, including the popular &quot;walk-and-talk&quot; format common in high-end advertising.<h3>Where CraftStory fits in a fragmented competitive landscape</h3>CraftStory enters a crowded and rapidly evolving market. OpenAI&#x27;s <a href="https://openai.com/index/sora-2/">Sora 2</a>, while not yet publicly available, has generated significant buzz. Google&#x27;s <a href="https://deepmind.google/models/veo/">Veo models</a> are advancing quickly. <a href="https://runwayml.com/">Runway</a>, <a href="https://pika.art/login">Pika</a>, and <a href="https://stability.ai/">Stability AI </a>all offer video generation tools with different capabilities.Erukhimov acknowledged the competitive pressure but emphasized that CraftStory serves a distinct niche focused on human-centric videos. He positioned rapid innovation and market capture as the company&#x27;s primary strategy rather than relying on technical moats.Filev sees the market fragmenting into distinct layers, with large tech companies serving as &quot;API providers of powerful, general-purpose generation models&quot; while specialized players like CraftStory focus on specific use cases. &quot;If the big players are building the engines, CraftStory is building the production studio and assembly line on top,&quot; he said.Model 2.0 is available now at app.craftstory.com/model-2.0, with the company offering early access to users and enterprises interested in testing the technology. Whether a lightly-funded startup can capture meaningful market share against deep-pocketed incumbents remains uncertain, but Erukhimov is characteristically confident about the opportunity ahead.&quot;AI-generated video will soon become the primary way companies communicate their stories,&quot; he said.

أطلقت CraftStory، وهي شركة ناشئة جديدة في مجال الذكاء الاصطناعي أسسها مبتكرو OpenCV، نظامًا لتوليد الفيديو قادرًا على إنتاج مقاطع فيديو واقعية تركز على الإنسان تصل مدتها إلى خمس دقائق. تتجاوز هذه التكنولوجيا بشكل كبير قدرات المنافسين مثل Sora من OpenAI وVeo من Google، الذين لديهم حدود زمنية أقصر. حصلت الشركة الناشئة على تمويل بقيمة مليوني دولار لدعم نهجها المبتكر في صناعة الفيديو بالذكاء الاصطناعي.

CraftStory, una nueva startup de IA fundada por los creadores de OpenCV, ha lanzado un sistema de generación de video capaz de producir videos realistas centrados en humanos de hasta cinco minutos de duración. Esta tecnología supera significativamente a competidores como Sora de OpenAI y Veo de Google, que tienen límites de duración más cortos. La startup ha asegurado 2 millones de dólares en financiamiento para apoyar su enfoque innovador en la industria de video de IA.

CraftStory, une nouvelle startup d'IA fondée par les créateurs d'OpenCV, a lancé un système de génération vidéo capable de produire des vidéos réalistes centrées sur l'humain d'une durée allant jusqu'à cinq minutes. Cette technologie surpasse considérablement les concurrents tels que Sora d'OpenAI et Veo de Google, qui ont des limites de durée plus courtes. La startup a sécurisé 2 millions de dollars de financement pour soutenir son approche innovante de l'industrie vidéo IA.

CraftStory, a new AI startup founded by the creators of OpenCV, has launched a video generation system capable of producing realistic human-centric videos up to five minutes long. This technology significantly outpaces competitors like OpenAI's Sora and Google's Veo, which have shorter duration limits. The startup has secured $2 million in funding to support its innovative approach to the AI video industry.

OpenCV founders launch AI video startup to take on OpenAI and Google

<a href="https://petapixel.com/2025/11/19/remote-cameras-may-have-captured-first-recorded-tool-use-by-a-wild-wolf/"><img width="1600" height="840" src="https://petapixel.com/assets/uploads/2025/11/wolve-tool-use.jpg" class="attachment-card-large size-card-large wp-post-image" alt="A wolf stands at the edge of a rocky shoreline, holding an orange and white fishing bobber in its mouth. A fishing net and additional gear are lying on the ground nearby. Rippling water is in the background." decoding="async" fetchpriority="high" /></a>Remote cameras have captured footage of wild wolves pulling crab traps out of the sea by their lines to eat the bait inside -- in the first evidence of possible tool use by the canines.
[<a href="https://petapixel.com/2025/11/19/remote-cameras-may-have-captured-first-recorded-tool-use-by-a-wild-wolf/">Read More</a>]

التقطت الكاميرات عن بُعد لقطات لذئاب برية تستخدم تقنية تتضمن سحب فخاخ السلطعون من البحر للوصول إلى الطعم داخلها. وهذا يمثل أول دليل موثق على استخدام محتمل للأدوات من قبل هذه الكلاب.

Cámaras remotas han grabado a lobos salvajes utilizando una técnica que consiste en sacar trampas de cangrejos del mar para acceder al cebo en su interior. Esto marca la primera evidencia documentada de un posible uso de herramientas por parte de estos caninos.

Des caméras à distance ont enregistré des loups sauvages utilisant une technique qui consiste à tirer des pièges à crabes de la mer pour accéder à l'appât à l'intérieur. Cela marque la première preuve documentée d'un potentiel usage d'outils par ces canidés.

Remote cameras have recorded wild wolves using a technique that involves pulling crab traps from the sea to access the bait inside. This marks the first documented evidence of potential tool use by these canines.

Remote Cameras May Have Captured First Recorded Tool Use by a Wild Wolf

The AI startup Firebird Inc. has received US government approval to export Nvidia Corp. chips to Armenia for a supercomputer project in the country, part of a global push to expand artificial intelligence infrastructure.

حصلت شركة Firebird Inc. الناشئة في مجال الذكاء الاصطناعي على موافقة الحكومة الأمريكية لتصدير شرائح Nvidia Corp. إلى أرمينيا، مما يسهل إنشاء مشروع حاسوب فائق في البلاد. تأتي هذه المبادرة كجزء من جهد عالمي أوسع لتعزيز بنية الذكاء الاصطناعي التحتية.

La startup de IA Firebird Inc. ha recibido la aprobación del gobierno de EE. UU. para exportar chips de Nvidia Corp. a Armenia, facilitando el establecimiento de un proyecto de supercomputadora en el país. Esta iniciativa forma parte de un esfuerzo global más amplio para mejorar la infraestructura de inteligencia artificial.

La startup d'IA Firebird Inc. a obtenu l'approbation du gouvernement américain pour exporter des puces de Nvidia Corp. en Arménie, facilitant ainsi l'établissement d'un projet de superordinateur dans le pays. Cette initiative s'inscrit dans un effort mondial plus large pour améliorer l'infrastructure de l'intelligence artificielle.

AI startup Firebird Inc. has obtained approval from the US government to export Nvidia Corp. chips to Armenia, facilitating the establishment of a supercomputer project in the country. This initiative is part of a broader global effort to enhance artificial intelligence infrastructure.

AI Startup Firebird Gets US Approval to Use Nvidia Chips in Armenian Data Center

Gesture of goodwill temporarily cools EU–China dispute that rattled global car supply chains.
The post <a href="https://www.techrepublic.com/article/news-netherlands-nexperia-chipmaker-control/">Netherlands Pauses Move to Seize Chinese-Owned Chipmaker Nexperia</a> appeared first on <a href="https://www.techrepublic.com">TechRepublic</a>.

أوقفت هولندا مؤقتًا جهودها للاستيلاء على شركة Nexperia لصناعة الرقائق المملوكة للصين، وهو إجراء يُعتبر بمثابة لفتة حسن نية تهدف إلى تهدئة التوترات في النزاع القائم بين الاتحاد الأوروبي والصين. تأتي هذه الخطوة وسط مخاوف بشأن تأثيرها على سلاسل الإمداد العالمية التي تأثرت بالفعل بنقص أشباه الموصلات.

Los Países Bajos han detenido temporalmente sus esfuerzos por apoderarse del fabricante de chips Nexperia, de propiedad china, un gesto que se considera como una buena voluntad para aliviar las tensiones en la disputa entre la UE y China. Esta decisión se produce en medio de preocupaciones sobre el impacto en las cadenas de suministro globales, que ya se han visto afectadas por la escasez de semiconductores.

Les Pays-Bas ont temporairement suspendu leurs efforts pour saisir le fabricant de puces Nexperia, détenu par des Chinois, un geste perçu comme une volonté d'apaiser les tensions dans le conflit en cours entre l'UE et la Chine. Cette décision intervient dans un contexte d'inquiétudes concernant l'impact sur les chaînes d'approvisionnement mondiales, déjà affectées par des pénuries de semi-conducteurs.

The Netherlands has temporarily halted its efforts to seize control of the Chinese-owned chipmaker Nexperia, a move seen as a gesture of goodwill aimed at easing tensions in the ongoing EU-China dispute. This decision comes amid concerns over the impact on global car supply chains, which have been affected by semiconductor shortages.

Netherlands Pauses Move to Seize Chinese-Owned Chipmaker Nexperia

استقال لاري سامرز من مجلس إدارة OpenAI، كما أفاد نيويورك تايمز. تأتي استقالته بعد التدقيق في اتصالاته السابقة مع المدان بجريمة الاعتداء الجنسي جيفري إبستين. تمثل هذه الخطوة انسحابًا كبيرًا لسامرز من الأدوار العامة وسط انتقادات متزايدة.

Larry Summers ha renunciado a la junta de OpenAI, según informa The New York Times. Su renuncia se produce tras el escrutinio sobre sus comunicaciones pasadas con el delincuente sexual condenado Jeffrey Epstein. Esta decisión marca un paso significativo en el retiro de Summers de los roles públicos en medio de una creciente crítica.

Larry Summers a démissionné du conseil d'administration d'OpenAI, selon le New York Times. Sa démission fait suite à un examen minutieux de ses communications passées avec le délinquant sexuel condamné Jeffrey Epstein. Cette décision marque un retrait significatif de Summers de ses rôles publics face à une critique croissante.

Larry Summers has resigned from the board of OpenAI, as reported by The New York Times. His resignation follows scrutiny over his past communications with convicted sex offender Jeffrey Epstein. This decision marks a significant step in Summers' withdrawal from public roles amid growing criticism.

Larry Summers Resigns From OpenAI’s Board

arXiv:2511.13909v1 Announce Type: new 
Abstract: Following road safety norms is non-negotiable not only for humans but also for the AI systems that govern autonomous vehicles. In this work, we evaluate how well multi-modal large language models (LLMs) understand road safety concepts, specifically through schematic and illustrative representations. We curate a pilot dataset of images depicting traffic signs and road-safety norms sourced from school text books and use it to evaluate models capabilities in a zero-shot setting. Our preliminary results show that these models struggle with safety reasoning and reveal gaps between human learning and model interpretation. We further provide an analysis of these performance gaps for future research.

تقيّم هذه الدراسة فهم نماذج اللغة الكبيرة متعددة الوسائط (LLMs) لمبادئ السلامة على الطرق، خاصة في سياق المركبات المستقلة. باستخدام مجموعة بيانات من إشارات المرور ومعايير السلامة المستمدة من كتب مدرسية، تكشف الأبحاث أن هذه النماذج تواجه صعوبات في التفكير في السلامة، مما يبرز الفجوات الكبيرة بين التعلم البشري وتفسير النموذج. تشير النتائج إلى الحاجة إلى مزيد من البحث لمعالجة هذه العيوب في الأداء في أنظمة الذكاء الاصطناعي التي تحكم المركبات المستقلة.

Este estudio evalúa la comprensión de los principios de seguridad vial por parte de modelos de lenguaje multimodales (LLMs), especialmente en el contexto de vehículos autónomos. Utilizando un conjunto de datos de señales de tráfico y normas de seguridad de libros de texto escolares, la investigación revela que estos modelos tienen dificultades con el razonamiento de seguridad, destacando brechas significativas entre el aprendizaje humano y la interpretación del modelo. Los hallazgos sugieren la necesidad de más investigaciones para abordar estas deficiencias de rendimiento en los sistemas de I…

Cette étude évalue la compréhension des principes de sécurité routière par des modèles de langage multimodaux (LLMs), en particulier dans le contexte des véhicules autonomes. En utilisant un ensemble de données de panneaux de signalisation et de normes de sécurité provenant de manuels scolaires, la recherche révèle que ces modèles ont des difficultés avec le raisonnement en matière de sécurité, mettant en évidence des lacunes significatives entre l'apprentissage humain et l'interprétation des modèles. Les résultats suggèrent un besoin de recherches supplémentaires pour remédier à ces déficienc…

This study evaluates the understanding of road safety principles by multi-modal large language models (LLMs), particularly in the context of autonomous vehicles. Using a curated dataset of traffic signs and safety norms from school textbooks, the research reveals that these models struggle with safety reasoning, highlighting significant gaps between human learning and model interpretation. The findings suggest a need for further research to address these performance deficiencies in AI systems governing autonomous vehicles.

Mind the Gap: Evaluating LLM Understanding of Human-Taught Road Safety Principles

arXiv:2405.15033v3 Announce Type: replace 
Abstract: While much research has recently focused on generating physics-based adversarial samples, a critical yet often overlooked category originates from physical failures within on-board cameras-components essential to the perception systems of autonomous vehicles. Camera failures, whether due to external stresses causing hardware breakdown or internal component faults, can directly jeopardize the safety and reliability of autonomous driving systems. Firstly, we motivate the study using two separate real-world experiments to showcase that indeed glass failures would cause the detection based neural network models to fail. Secondly, we develop a simulation-based study using the physical process of the glass breakage to create perturbed scenarios, representing a realistic class of physics-based adversarial samples. Using a finite element model (FEM)-based approach, we generate surface cracks on the camera image by applying a stress field defined by particles within a triangular mesh. Lastly, we use physically-based rendering (PBR) techniques to provide realistic visualizations of these physically plausible fractures. To assess the safety implications, we apply the simulated broken glass effects as image filters to two autonomous driving datasets- KITTI and BDD100K- as well as the large-scale image detection dataset MS-COCO. We then evaluate detection failure rates for critical object classes using CNN-based object detection models (YOLOv8 and Faster R-CNN) and a transformer-based architecture with Pyramid Vision Transformers. To further investigate the distributional impact of these visual distortions, we compute the Kullback-Leibler (K-L) divergence between three distinct data distributions, applying various broken glass filters to a custom dataset (captured through a cracked windshield), as well as the KITTI and Kaggle cats and dogs datasets.

سلطت الأبحاث الحديثة الضوء على أهمية معالجة الأعطال الفيزيائية في الكاميرات المثبتة في المركبات الذاتية القيادة، والتي تعد ضرورية لأنظمة الإدراك الخاصة بها. تُظهر هذه الدراسة أن أعطال الزجاج يمكن أن تؤدي إلى تعطل نماذج الشبكات العصبية المعتمدة على الكشف. من خلال إجراء تجارب واقعية ومحاكاة، أنشأ الباحثون سيناريوهات مضطربة تحاكي آثار كسر الزجاج، مما يبرز الحاجة إلى تدابير أمان قوية في أنظمة القيادة الذاتية.

Investigaciones recientes han destacado la importancia de abordar las fallas físicas en las cámaras a bordo de vehículos autónomos, que son cruciales para sus sistemas de percepción. Este estudio demuestra que las fallas en el vidrio pueden llevar al mal funcionamiento de modelos de redes neuronales basados en la detección. Al realizar experimentos del mundo real y simulaciones, los investigadores crearon escenarios perturbados que imitan los efectos de la rotura del vidrio, enfatizando la necesidad de medidas de seguridad robustas en los sistemas de conducción autónoma.

Des recherches récentes ont souligné l'importance de traiter les défaillances physiques dans les caméras embarquées des véhicules autonomes, qui sont cruciales pour leurs systèmes de perception. Cette étude démontre que des défaillances de verre peuvent entraîner le dysfonctionnement de modèles de réseaux neuronaux basés sur la détection. En menant des expériences réelles et des simulations, les chercheurs ont créé des scénarios perturbés qui imitent les effets de la rupture de verre, soulignant la nécessité de mesures de sécurité robustes dans les systèmes de conduite autonome.

Recent research has highlighted the importance of addressing physical failures in on-board cameras of autonomous vehicles, which are crucial for their perception systems. This study demonstrates that glass failures can lead to the malfunction of detection-based neural network models. By conducting real-world experiments and simulations, the researchers created perturbed scenarios that mimic the effects of glass breakage, emphasizing the need for robust safety measures in autonomous driving systems.

Fractured Glass, Failing Cameras: Simulating Physics-Based Adversarial Samples for Autonomous Driving Systems

Ainekko buys struggling startup’s IP: Is this the first time RTL design has been attempted fully in the open? 
The post <a href="https://www.eetimes.com/ainekko-buys-esperanto-hardware-ip-open-sources-it/">Ainekko Buys Esperanto Hardware IP, Open-Sources It</a> appeared first on <a href="https://www.eetimes.com">EE Times</a>.

اشترت شركة Ainekko الملكية الفكرية لشركة Esperanto الناشئة التي تواجه صعوبات، وأعلنت أنها ستجعل هذه التكنولوجيا مفتوحة المصدر. يثير هذا التحرك تساؤلات حول ما إذا كانت هذه هي المرة الأولى التي يتم فيها محاولة تصميم RTL بالكامل بطريقة مفتوحة.

Ainekko ha adquirido la propiedad intelectual de la startup en dificultades Esperanto y ha anunciado que hará que esta tecnología sea de código abierto. Este movimiento plantea preguntas sobre si esta es la primera vez que se intenta el diseño RTL completamente de manera abierta.

Ainekko a acquis la propriété intellectuelle de la startup en difficulté Esperanto et a annoncé qu'elle allait rendre cette technologie open-source. Ce mouvement soulève des questions sur la possibilité qu'il s'agisse de la première tentative de conception RTL entièrement réalisée de manière open-source.

Ainekko has acquired the intellectual property of the struggling startup Esperanto and has announced that it will open-source this technology. This move raises questions about whether this is the first instance of RTL design being fully attempted in an open-source manner.

Ainekko Buys Esperanto Hardware IP, Open-Sources It

1. Introduction to High-Voltage Rectifiers&#160; 1. 1. What is a 2000 V Rectifier?&#160; A 2000 V rectifier is a specialized diode for converting AC to DC within electrical systems operating at very high voltages.&#160;&#160; These work by allowing current to flow freely in one direction while blocking it almost completely in the reverse, with the listed voltage [&#8230;]
The post <a href="https://www.eetimes.com/ween-launched-2000v-higher-voltage-megapage/">WeEn launched 2000V Higher Voltage Megapage</a> appeared first on <a href="https://www.eetimes.com">EE Times</a>.

أطلقت شركة وي إن جهاز تقويم جهد 2000 فولت، وهو دايود متخصص مصمم لتحويل التيار المتردد إلى تيار مستمر في الأنظمة الكهربائية ذات الجهد العالي. يسمح هذا الجهاز بتدفق التيار في اتجاه واحد بينما يمنع تدفقه في الاتجاه المعاكس، مما يجعله مناسبًا للتطبيقات التي تتطلب تحويل الجهد العالي.

WeEn ha lanzado un rectificador de 2000V, un diodo especializado diseñado para convertir corriente alterna en corriente continua en sistemas eléctricos de alta tensión. Este rectificador permite que la corriente fluya en una dirección mientras bloquea el flujo en la dirección opuesta, lo que lo hace adecuado para aplicaciones que requieren conversión de alta tensión.

WeEn a lancé un redresseur de 2000V, une diode spécialisée conçue pour convertir le courant alternatif en courant continu dans des systèmes électriques à haute tension. Ce redresseur permet au courant de circuler dans une direction tout en le bloquant dans l'autre, ce qui le rend adapté aux applications nécessitant une conversion à haute tension.

WeEn has launched a 2000V rectifier, a specialized diode designed for converting AC to DC in high-voltage electrical systems. This rectifier allows current to flow in one direction while blocking it in the reverse, making it suitable for applications requiring high voltage conversion.

WeEn launched 2000V Higher Voltage Megapage

WeEn Semiconductors introduces TOLT and TSPAK top-side cooling packages designed for SiC MOSFETs and Schottky barrier diodes. 
The post <a href="https://www.eetimes.com/ween-sic-mosfet-sbd-top-cooling-packages-tolt-tspak/">WeEn SiC MOSFET &amp; SBD Top-Cooling Packages TOLT/TSPAK</a> appeared first on <a href="https://www.eetimes.com">EE Times</a>.

قدمت شركة WeEn Semiconductors حزم التبريد TOLT وTSPAK المصممة خصيصًا لموصلات SiC MOSFET وديودات شوتكي. تهدف هذه الحزم المبتكرة إلى تحسين إدارة الحرارة لهذه الأجهزة شبه الموصلة.

WeEn Semiconductors ha lanzado los paquetes de refrigeración TOLT y TSPAK diseñados específicamente para MOSFET SiC y diodos Schottky. Estos paquetes innovadores tienen como objetivo mejorar la gestión térmica de estos dispositivos semiconductores.

WeEn Semiconductors a lancé les packages de refroidissement TOLT et TSPAK conçus spécifiquement pour les MOSFET SiC et les diodes Schottky. Ces packages innovants visent à améliorer la gestion thermique de ces dispositifs semi-conducteurs.

WeEn Semiconductors has launched TOLT and TSPAK top-side cooling packages specifically designed for SiC MOSFETs and Schottky barrier diodes. These innovative packages aim to enhance the thermal management of these semiconductor devices.

Road to Autonomous Vehicles – Why Cities Are Lagging

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