# Automotive Published articles for Automotive. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Raspberry Pi 5 gets dual GMSL2 Camera HAT based on MAX96716A deserializer DevFeed: [Raspberry Pi 5 gets dual GMSL2 Camera HAT based on MAX96716A deserializer]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-17T09:00:55Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Raspberry Pi](), [webcam](), [Embedded Systems](), [Linux](), [contact-rich manipulation]() Tags: [automotive](), [broadcom-bcmxxxx](), [camera](), [computer-vision](), [debian](), [embedded-systems](), [hardware](), [linux](), [mipi-csi](), [raspberry-pi](), [raspberry-pi-5](), [robotics]() ### AI overview BE-IIS has released a dual GMSL2 Camera HAT for Raspberry Pi 5. Based on the MAX96716A deserializer, it connects two remote GMSL2 cameras through the board's CSI-2 interfaces and has been tested over 10-meter coaxial cables. ### Source excerpt BE-IIS (Brechel Electronic-Industrial Interface Systems) has released a dual GMSL2 Camera HAT for the Raspberry Pi 5. The board is based on the MAX96716A GMSL2 deserializer and connects two remote GMSL2 cameras through the Pi's CSI-2 interfaces. The solution has been validated in a dual-camera setup that operates at 2304 x 1296, RAW10, with two CSI-2 lanes per camera using the same Sony IMX708 12MP camera sensors found in the Raspberry Pi Camera Module 3. Besides low latency, one advantage of GMSL2 is long-range operation, and the HAT has been tested with two cameras connected over 10-meter coaxial cables. BE-IIS BE-IIS-2CAM (aka BE-IIS-GMSL2-2CAM) HAT+ specifications: Dual MIPI CSI camera output compatible with Raspberry Pi CSI interfaces Dual GMSL2 camera input 2x Rosenberger FAKRA connectors Up to 6 Gbps each PoC filter and protection per connector Analog Devices MAX96716A GMSL2 deserializer Misc Single and Dual HAT Operation 40-pin Raspberry Pi GPIO header [...] The post Raspberry Pi 5 gets dual GMSL2 Camera HAT based on MAX96716A deserializer appeared first on CNX Software - Embedded Systems News. ## onsemi Embedded Power Platform Announced DevFeed: [onsemi Embedded Power Platform Announced]() Original publisher: [Read original article]() Author: Vic A Published: 2026-09-16T22:07:08Z Content type: release Language: en Sources: [ServeTheHome]() Topics: [Artificial Intelligence](), [systems](), [Simulation and Design]() Tags: [800v](), [ai](), [automotive](), [embedded](), [industrial](), [news](), [onsemi](), [platform](), [power]() ### AI overview onsemi announced its Embedded Power Platform, which embeds heterogeneous power dies in silicon and connects them with wafer-level redistribution layers instead of wire bonds. The company is targeting vehicle electrification, AI power infrastructure, and industrial applications, with 800V DC AI racks identified as an early use case. ### Source excerpt At its investor day, onsemi announced its new Embedded Power Platform for AI racks, automotive, and industrial applications The post onsemi Embedded Power Platform Announced appeared first on ServeTheHome. ## AAEON MIX-PTLWV1 Panther Lake industrial mini-ITX motherboard offers quad DisplayPort, dual 10GbE, and more DevFeed: [AAEON MIX-PTLWV1 Panther Lake industrial mini-ITX motherboard offers quad DisplayPort, dual 10GbE, and more]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-16T12:00:59Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [intel](), [Intel Core](), [ddr5](), [M.2 NVMe](), [pcie](), [Graphics](), [Specifications]() Tags: [10gbe](), [2-5gbe](), [4g-lte](), [5g](), [aaeon](), [artificial-intelligence-ai](), [automotive](), [ddr5](), [graphics](), [hardware](), [industrial](), [intel-core](), [linux](), [m-2-nvme](), [mini-itx](), [motherboard](), [nvme](), [panther-lake](), [pcie](), [single-board-computer](), [smart-city](), [specifications](), [ubuntu](), [windows-11]() ### AI overview CNX Software reports on the AAEON MIX-PTLWV1, an industrial mini-ITX motherboard built around Intel Core Ultra Series 3 Panther Lake processors. It supports up to 128GB of DDR5 memory, NVMe storage, four DisplayPort outputs, optional wireless and cellular modules, multiple Ethernet ports including up to two 10GbE connections, serial interfaces, and PCIe expansion. ### Source excerpt AAEON MIX-PTLWV1 is an industrial mini-ITX motherboard based on Intel Core Ultra Series 3 "Panther Lake" processors with up to two 10GbE and two 2.5GbE RJ45 jacks, and four 4K-capable DisplayPort video outputs. The motherboard also supports up to 128GB DDR5 C/SO-DIMM memory, M.2 NVMe SSD storage, optional WiFi and Bluetooth, and/or 4G LTE/5G cellular via M.2 modules, a PCIe Gen4 x8 slot for expansion, six serial interfaces, 12V-24V wide DC input, and more. AAEON MIX-PTLWV1 specifications: SoC - Intel Panther Lake processor (PTL-H404/PTL-H484 families) with Intel Xe LPG graphics; TDP: 15 to 25W System Memory - Up to 128GB via 2x 262-pin DDR5 C/SO-DIMM sockets up to 6400MHz (H404 SKU) or 7200MHz (H484 SKU) Storage - M.2 2280 M-Key (PCIe Gen4 x4) socket for NVMe SSD Display Interfaces 4x DisplayPort 1.4 up to 4096 x 2160 @ 60Hz 40-pin LVDS/eDP co-layout connector for Default: 18/24 bit dual-channel LVDS up [...] The post AAEON MIX-PTLWV1 Panther Lake industrial mini-ITX motherboard offers quad DisplayPort, dual 10GbE, and more appeared first on CNX Software - Embedded Systems News. ## Infineon RISC-V for Automotive at Hot Chips 2026 DevFeed: [Infineon RISC-V for Automotive at Hot Chips 2026]() Original publisher: [Read original article]() Author: Vic A Published: 2026-09-13T21:58:44Z Content type: article Language: en Sources: [ServeTheHome]() Topics: [RISC-V](), [Microcontroller](), [real-time](), [Low Latency](), [Architecture & Design](), [Security](), [IO](), [Inference Performance]() Tags: [2026](), [architecture](), [automotive](), [compute](), [cost](), [efficiency](), [infineon](), [latency](), [low-latency](), [microcontrollers](), [mobile](), [performance](), [posix](), [processors](), [real-time](), [risc-v](), [security]() ### AI overview Infineon presents RISC-V automotive processors for next-generation vehicle architectures. The article covers real-time control, low latency, power efficiency, security, zone controllers, central car computers, and heterogeneous workloads including DSP, AI inference, audio, and POSIX-based services. ### Source excerpt At Hot Chips 2026, Infineon presented a case for using RISC-V in various automotive processors in next-generation cars The post Infineon RISC-V for Automotive at Hot Chips 2026 appeared first on ServeTheHome. ## AAOS SDV - Secure by Design DevFeed: [AAOS SDV - Secure by Design]() Original publisher: [Read original article]() Author: Android Developers (noreply@blogger.com) Published: 2026-08-24T16:00:31Z Content type: article Language: en Sources: [Android Developers Blog](), [Android Developers Blog]() Topics: [Android](), [Security](), [SELinux](), [virtualization](), [vulnerability management](), [Process](), [Resilience](), [Google]() Tags: [android](), [android-security](), [article](), [automotive](), [blog](), [deep-dive](), [google](), [process](), [resilience](), [security](), [selinux](), [virtualization](), [vulnerabilities](), [vulnerability-management]() ### AI overview AAOS SDV is presented as a secure-by-design platform for software-defined vehicles. The article explains how virtualization isolates co-hosted domains, while Android UID-based process sandboxes, POSIX capabilities, and SELinux enforce least privilege and deny-by-default access. It also describes vulnerability response, penetration testing, security audits, and architectural reviews. ### Source excerpt Posted by Markus Vill, Software Engineer, Sean Keys, Security Engineer, and Istvan Nador, Software Engineer, Android Auto At Google, we believe our products should be secure by design, which is why we built the Android Automotive Operating System for Software Defined Vehicle (AAOS SDV) on existing, market-proven platforms, leveraging virtualization technologies like Cuttlefish. While our release announcements focused on the features, this blog post outlines some of the security concepts. Foundation: Domain IsolationVirtualization to isolate co-hosted instances The current trend of consolidating Electronic Control Units (ECUs) into a single chip reduces isolation by running multiple domains side-by-side. While AAOS SDV instances provide internal isolation mechanisms, it is often preferable to run logical domains independently. For instance, a cluster and an infotainment system have distinct requirements. We use virtual machines to run multiple instances in parallel, ensuring that sharing remains explicit and isolation is the default behavior. Inherited Android Security AAOS SDV evolved from Microdroid, a minimalistic Android version optimized for privacy virtual machines (pVM). This lineage provides Android platform engineers with established security features they already know. Process Isolation & Deny by Default AAOS SDV follows Android's User ID (UID)-based isolation model to set up a sandbox for each application. Each service runs in a dedicated process with a unique UID to manage access rights, data directories, and other restrictions. We employ Portable Operating System Interface (POSIX) capabilities to strictly limit operations and pair this with Security-Enhanced Linux (SELinux) to enforce a "deny-by-default" posture. This approach restricts each service to the absolute minimum required, meaning missing configurations block access rather than creating an over-permissive system. We apply this same strategy to our communication permission system, as explained l ## Talking with Synopsys about the Physics of Chip Design at DAC 2026 DevFeed: [Talking with Synopsys about the Physics of Chip Design at DAC 2026]() Original publisher: [Read original article]() Author: George Cozma Published: 2026-08-11T16:52:16Z Content type: article Language: en Sources: [Chips and Cheese]() Topics: [Chip design](), [3D](), [Simulation and Design]() Tags: [3d](), [audio](), [automotive](), [battery](), [chip-design](), [communications](), [design](), [desktop](), [heat](), [interview](), [low-power](), [physics](), [techniques]() ### AI overview An edited audio interview with Synopsys executive Ravi Subramanian examines the physics involved in chip design and electronic design automation tools. The discussion covers larger chips, 2.5D and 3D multi-die integration, thermal management, low-power mobile systems, and automotive operating environments. ### Source excerpt Hello you fine Internet folks, ## Xen 4.22: Strengthening Open Source Virtualization for Cloud, Embedded, and Automotive Systems DevFeed: [Xen 4.22: Strengthening Open Source Virtualization for Cloud, Embedded, and Automotive Systems]() Original publisher: [Read original article]() Author: Cody Zuschlag Published: 2026-08-05T15:18:36Z Content type: article Language: en Sources: [Blog - Xen Project]() Topics: [virtualization](), [Open Source](), [Cloud](), [Hardware](), [Scalability](), [Arm](), [RISC-V]() Tags: [arm](), [automotive](), [cloud](), [developers](), [embedded](), [hardware](), [improvements](), [lifecycle](), [maintenance](), [open-source](), [performance](), [platform](), [release](), [releases](), [risc-v](), [safety](), [security](), [standards](), [systems](), [virtualization](), [xen-4-22]() ### AI overview Xen 4.22 is presented as the latest Xen hypervisor release, adding modern hardware support, Arm virtualization improvements, continued RISC-V progress, and Xenstore scalability updates. The Xen Project also introduces a consistent five-year security support lifecycle for Xen 4.20 and later releases. ### Source excerpt Xen 4.22 adds modern hardware support, Arm improvements, continued RISC-V progress, Xenstore scalability updates, and a five-year security support lifecycle. ## Exploiting Volvo/Eicher's fleet management platform to gain control over all users and vehicles DevFeed: [Exploiting Volvo/Eicher's fleet management platform to gain control over all users and vehicles]() Original publisher: [Read original article]() Author: Eaton Published: 2026-07-27T14:31:47Z Content type: article Language: en Sources: [Eaton Works Feed]() Topics: [vulnerability](), [Exploit](), [account takeover](), [API](), [Security](), [data](), [App](), [Website](), [Android](), [iphone]() Tags: [account-takeover](), [android](), [api](), [app](), [automotive](), [data](), [india](), [iphone](), [security](), [vulnerability]() ### AI overview The article reports vulnerabilities in VE Commercial Vehicles' My Eicher fleet-management platform that exposed hidden unauthenticated APIs and could enable account takeover and control of users' vehicle fleets. It also describes potentially exposed customer, user, vehicle, and identity-document data. A July 28, 2026 update says the concerns were remediated in coordination with the VECV team and that there was no current threat to customers or vehicles. ### Source excerpt VE Commercial Vehicles' My Eicher platform had a critical vulnerability that let you take over anyone's account and gain control over their vehicle fleets. ## How Cars24 scales conversations and builds faster with OpenAI DevFeed: [How Cars24 scales conversations and builds faster with OpenAI]() Original publisher: [Read original article]() Published: 2026-07-16T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [AI Agent](), [OpenAI](), [ChatGPT](), [codex](), [App]() Tags: [agent](), [agentic](), [agents](), [ai](), [ai-agent](), [ai-agents](), [apis](), [app](), [australia](), [automotive](), [business](), [customer](), [engineering](), [enterprise](), [finance](), [legal](), [marketing](), [openai](), [voice](), [workflows]() ### AI overview Cars24 uses OpenAI-powered voice and chat agents to support car buying, selling, financing, follow-up, and customer support. The company also deploys ChatGPT Enterprise and Codex to help teams create AI-powered workflows. ### Source excerpt Cars24 uses OpenAI-powered voice and chat agents to handle 1M+ monthly conversation minutes, recover 12% of lost leads, and bring agentic workflows to teams across the company. ## AI Now Summit 2026 DevFeed: [AI Now Summit 2026]() Original publisher: [Read original article]() Published: 2026-05-28T12:00:20Z Content type: news Language: en Sources: [Mistral AI Blog]() Topics: [Artificial Intelligence](), [Security](), [datacenter](), [multimodal](), [data](), [Robotics](), [Flight]() Tags: [agentic-ai](), [ai](), [automotive](), [data-center](), [design](), [industry](), [innovation](), [multimodal](), [partner](), [partnership](), [physics](), [production](), [robotics](), [security]() ### AI overview Mistral presents an AI stack for industrial engineering, combining physics models, engineering expertise, and robotics to support design, simulation, and production. Partnerships with Airbus, BMW, and ASML target aircraft operations, crash simulation, and semiconductor engineering, with an emphasis on proprietary-data security. The company also describes Vibe as a unified agent for long-running coding and research tasks and announces a new 10 MW data center in France. ### Source excerpt Innovations for global enterprises solving the world's hardest problems. ## Emmi joins Mistral to accelerate the AI-native industry DevFeed: [Emmi joins Mistral to accelerate the AI-native industry]() Original publisher: [Read original article]() Published: 2026-05-23T12:00:26Z Content type: news Language: en Sources: [Mistral AI Blog]() Topics: [Artificial Intelligence](), [Simulation and Design](), [AI Development]() Tags: [acquisition](), [ai](), [automotive](), [design](), [engineering](), [industry](), [manufacturing](), [physics](), [platform](), [real-time](), [science]() ### AI overview Mistral AI announces a definitive agreement to acquire Emmi AI, aiming to strengthen its industrial AI offering through Physics AI, engineering models, real-time simulations, digital twins, and AI agents that use existing engineering tools. The deal is intended to support engineering, manufacturing, and high-stakes industrial sectors. ### Source excerpt The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models. ## OSS Japan 2025: A Breakthrough Year for Open Automotive Innovation DevFeed: [OSS Japan 2025: A Breakthrough Year for Open Automotive Innovation]() Original publisher: [Read original article]() Author: Cody Zuschlag Published: 2025-12-16T11:35:48Z Content type: article Language: en Sources: [Blog - Xen Project]() Topics: [Open Source](), [virtualization](), [systems](), [Arm]() Tags: [2025](), [amd](), [arm](), [automotive](), [cloud](), [collaboration](), [data-centers](), [event](), [future](), [infrastructure](), [open-source](), [oss](), [summit](), [talks](), [transformation](), [virtualization]() ### AI overview The article reports on the Xen Project's participation in Open Source Summit Japan and Automotive Linux Summit 2025. It presents open source as a foundation for software-defined vehicles, highlighting Xen's role in mixed-criticality workloads, cockpit virtualization, and vehicle software stacks. The article also emphasizes collaboration among silicon vendors, automotive manufacturers, and cloud and server infrastructure companies. ### Source excerpt The Xen Project is back from Open Source Summit Japan and Automotive Linux Summit 2025. This year's event felt like a true watershed moment for the automotive industry and for open source. Across talks, demos, and hallway conversations, one thing was clear: open source is now a foundational ## 🛠 Engineering Trust: How Xen's Open CI Powers Global, Hardware-Level Testing DevFeed: [🛠 Engineering Trust: How Xen's Open CI Powers Global, Hardware-Level Testing]() Original publisher: [Read original article]() Author: Cody Zuschlag Published: 2025-07-10T14:11:20Z Content type: article Language: en Sources: [Blog - Xen Project]() Topics: [ci](), [Testing](), [Hardware](), [Embedded Software Dev](), [systems](), [Arm](), [x86]() Tags: [2025](), [architectures](), [arm](), [automation](), [automotive](), [ci](), [embedded](), [embedded-systems](), [hardware](), [industrial](), [open-source](), [software](), [systems](), [testing](), [visibility](), [x86]() ### AI overview The Xen Project is developing an open, transparent, globally distributed continuous integration system for real hardware-level testing. The CI fleet tests Xen changes on Arm boards, x86 servers, embedded platforms, and contributor-provided devices, giving adopters greater confidence in safety-critical automotive and industrial systems. ### Source excerpt In safety-critical industries like automotive and industrial systems, trust is non-negotiable. When building software that controls critical hardware, like braking systems or factory automation, you need confidence. The software must behave exactly as intended. Every time. On the actual device. That's why the Xen Project is investing in ## 🛠 Xen Summit 2025: Find Your Place in the Future of Virtualization DevFeed: [🛠 Xen Summit 2025: Find Your Place in the Future of Virtualization]() Original publisher: [Read original article]() Author: Cody Zuschlag Published: 2025-06-27T13:39:53Z Content type: article Language: en Sources: [Blog - Xen Project]() Topics: [virtualization](), [Security](), [Cloud](), [data centers](), [cloud-infrastructure]() Tags: [2025](), [alternatives](), [automotive](), [cloud](), [community](), [data-center](), [data-centers](), [developer](), [embedded](), [enterprise](), [industrial](), [industry](), [open](), [project](), [security](), [servers](), [summit](), [talks](), [tech-conference](), [virtualization](), [xen-summit](), [xensummit]() ### AI overview Xen Summit 2025 is presented as a gathering for the Xen Project community and a discussion of Xen's role as an open, adaptable hypervisor. The article highlights applications in automotive safety systems, industrial and embedded environments, enterprise servers and cloud data centers, and security-focused desktop virtualization. ### Source excerpt The annual Xen Summit is right around the corner, and there has never been a more exciting time to be part of the Xen Project. As enterprise and industrial needs shift and proprietary vendors rethink their licensing, the industry is ready for strong, open alternatives. Xen stands out not only ## Agnostic Build System: Powertrain build DevFeed: [Agnostic Build System: Powertrain build]() Original publisher: [Read original article]() Author: Johannes Foufas Published: 2024-06-18T09:48:37Z Content type: release Language: en Sources: [Volvo Cars Engineering - Medium]() Topics: [Embedded Software Dev](), [Python](), [GitHub Actions](), [JSON](), [Testing]() Tags: [automotive](), [automotive-software](), [autosar](), [build-system](), [c-coding](), [continuous-integration](), [embedded](), [json](), [python](), [release](), [testing]() ### AI overview The article announces Volvo Cars' Powertrain Build project, a Python-based build system for automotive embedded software. It supports moving source code between POSIX-based and legacy embedded ECU targets, Software in the Loop testing, and continuous integration through Zuul. It also describes JSON-based project, base, and unit configuration files, unit tests, and HTML documentation. ### Source excerpt Powering Volvo Cars' Software Builds We are thrilled to announce the release of the Volvo Cars Powertrain Build project, now available on OpenDev! As a build system tailored for embedded software development using DSpace Target Link or Mathworks Embedded coder, this project is set to improve the way we as automotive embedded engineers handle our code bases. The idea is to make it easy to move between different targets, enable Software in the Loop (SIL) testing, and streamline our continuous integration (CI) processes. Powertrain build offers to efficiently move embedded source code between different embedded targets, both Posix based and old school embedded ECU's. This build system does what AUTOSAR never did, and is a tool that prepares us for the future of the car OS. Check out the article below to learn more about AUTOSAR: The reality of AUTOSAR and the way forward Our Powertrain Build project is designed to work harmoniously with the Zuul CI system. This ensures that all code changes are automatically tested and validated, providing continuous feedback to developers and maintaining the integrity of our codebase. What is it? The build system is written in Python for ease of use and flexibility, and these are the build options. py -3.10 pybuild.wrapper --build ABC_123 Projects are defined in .json using Project, base and Unit configs. The project config file contains project specific configuration settings and references to other configuration files. The base config file shares the same structure as the project config file and can be used for non project-specific configuration settings and default values, these could for instance be diagnostic core dummy file names. The units config file contains information about included software units and scheduling rasters. The software units are executed in the order they are defined within each time raster definition. { "SampleTimes": { "VcExt10ms": 0.01 }, "VcExt10ms": [ "VcDebug", "VcCarCfg", ] } Schedulers are not include ## What could quantum computing do for Automotive Companies? DevFeed: [What could quantum computing do for Automotive Companies?]() Original publisher: [Read original article]() Author: Bahram Ganjipour Published: 2024-01-29T08:05:33Z Content type: article Language: en Sources: [Volvo Cars Engineering - Medium]() Topics: [Quantum Computing](), [Combinatorial optimization](), [datasets]() Tags: [algorithms](), [automotive](), [automotive-industry](), [combinatorial-optimization](), [ev-battery](), [machine-learning](), [quantum-computing](), [simulation]() ### AI overview The article discusses potential real-world uses of quantum computing for automotive companies, including constrained combinatorial optimization, quantum algorithms compatible with NISQ hardware, quantum programming, and simulation. It also describes how machine learning and large datasets relate to data-intensive business problems, while noting current limitations and the need to compare quantum and classical performance. ### Source excerpt In the final post of this series on the rise of quantum computing, Bahram Ganjipour, a senior software engineer and quantum computing lead at Volvo Cars, goes over some of the real-world use cases of this fast-moving technology -- as well as the current limitations on its potential. What exactly can quantum computing assist us with? As highlighted in the first post, one of the main hurdles for any organization when it comes to quantum computing (QC) is the need to comprehend the business potential of quantum computing. This understanding is crucial for making informed decisions regarding the adoption of quantum computing technologies. Early adoption of quantum computing can help companies in navigating this complex landscape and distinguishing between hype and real opportunities. By embracing QC early on, organizations can gain a competitive edge and position themselves at the forefront of quantum advancements. Real-world use cases of quantum computing and Potential game-changer: When it comes to tackling real-world business problems using quantum computing we need to consider several elements listed below: - How to map a business use case into a format that can be handled on quantum hardware. Constrained combinatorial optimization problems may be encoded in a constraint-free form. - Being aware of and selecting quantum algorithms compatible with NISQ hardware. - Developing programming skills for quantum devices. Both direct proficiency in a certain language and conceptual understanding of how to think when developing quantum algorithms. - Simulation/execution, and what you can learn from it, such as how quantum performance compares to classical performance and the potential for mid-term, non-trivial achievements. o Machine Learning and large datasets The concept should be of particular interest to anyone who works with data science at scale. Machine learning (ML) can be immensely valuable in analyzing massive amounts of data as handling the complexity of analyzing l ## Quantum Computing: Paving the Path to a Greener Automotive Industry and Beyond DevFeed: [Quantum Computing: Paving the Path to a Greener Automotive Industry and Beyond]() Original publisher: [Read original article]() Author: Bahram Ganjipour Published: 2024-01-23T14:23:50Z Content type: opinion Language: en Sources: [Volvo Cars Engineering - Medium]() Topics: [Quantum Computing]() Tags: [automotive](), [automotive-industry](), [battery](), [electric-vehicles](), [energy](), [funding](), [interest](), [quantum](), [quantum-computing](), [quantum-technologies](), [research](), [startups]() ### AI overview This second post in a series examines quantum computing's potential applications across industries, with particular attention to automotive use cases such as logistics, materials discovery, and improving batteries for electric vehicles. It also explains that quantum computers are specialized systems rather than universally faster conventional computers and notes growing interest and investment in the field. ### Source excerpt In the 2nd post of this series on the rise of quantum computing, I will explore the industry's landscape and offers an insightful overview of how quantum computing may revolutionize various industries, with a specific focus on its implications for the automotive industry. Quantum computing, as a field, is incredibly inspiring. Its potential to solve complex computational problems beyond the capabilities of classical computers fuels our hopes for energy-efficient solutions in various domains. This includes addressing logistics challenges, advancing material discovery, and significantly improving battery technology for electric vehicles. This inspirational view drew a lot of attention and investment to the field, and, as it is usual, the fertile ground provides a general opportunity for growth, both for the expected and the unexpected, paving the way for a greener, more sustainable future in the automotive industry and the broader realm of electric vehicles. Like many other technologies, quantum computing (QC) has a longer history than we might expect. The academic foundations of the field were established in the 1980s, similar to the internet, which took decades to achieve widespread adoption. In the next post of this series, I will go into more detail on QC and how it works. For those who are unfamiliar with quantum computers, there are a few things to keep in mind for the time being. Firstly, Quantum computers are not simply superior versions of regular computers; they are vastly different systems that excel in solving specific problems. Their superior performance can be linked to their ability to leverage the strange behaviors of quantum particles in their information-processing capabilities. This makes QC well-suited for tackling immensely complex mathematical calculations that traditional machines cannot efficiently manage. You are not alone if you've been hearing more about QC recently. The tech community, investors, and government research organizations have b ## Figma participates in TISAX assessment for the European automotive industry DevFeed: [Figma participates in TISAX assessment for the European automotive industry]() Original publisher: [Read original article]() Author: Figma Published: 2023-10-25T00:00:00Z Content type: article Language: en Sources: [Figma Blog]() Topics: [Figma](), [Security](), [Cloud]() Tags: [automotive](), [cloud](), [compliance](), [design](), [figma](), [security]() ### AI overview Figma announces its participation in the TISAX assessment, a European information-security and data-protection benchmark for the automotive industry. The assessment is intended to give automotive product designers confidence that their design work is securely managed and handled in compliance with industry standards. ### Source excerpt At Figma, we love helping our customers build standout products--no matter their industry. TISAX gives product designers peace of mind, knowing their design work is securely managed and strictly compliant. ## Unveiling Quantum Computing: Unlocking the Power of Qubits and Superposition DevFeed: [Unveiling Quantum Computing: Unlocking the Power of Qubits and Superposition]() Original publisher: [Read original article]() Author: Bahram Ganjipour Published: 2023-10-23T11:21:52Z Content type: article Language: en Sources: [Volvo Cars Engineering - Medium]() Topics: [Quantum Computing](), [Math and Logic]() Tags: [automotive](), [automotive-industry](), [quantum](), [quantum-computing](), [software](), [software-engineering](), [superposition](), [technology]() ### AI overview This introductory article explains quantum computing for an automotive audience, focusing on qubits, superposition, and how quantum technology could eventually address challenges across the automotive value chain. ### Source excerpt The emergence of quantum computing (QC), which has drawn considerable interest from corporate executives and technological experts, has led automobile companies to consider its implications for their future operations. In a three-part series, I , a senior software engineer and quantum computing lead at Volvo Cars, will shed light on this matter. The purpose of these series is to help you dip your toes into the water. TL; DR: Quantum Computing in Automotive For those of you familiar with quantum computing, bear with me, but for those who aren't, let's explore why it's truly remarkable and why we're thinking about it at Volvo Cars. Quantum computers are like superhero of the computation world, armed with the power to tackle profound global challenges. Now, imagine, what if we use our superhero friends, Quantum computers, to address issues throughout the automotive industry's value chain, with the aim of enhancing the environmental footprint of our cars, making them more sustainable and energy-efficient? This is what we are diligently striving to achieve at Volvo Cars and why we're captivated by quantum computers. So, buckle up as we delve into the fascinating realm of quantum technology and explore how it has the potential to transform the way we perceive both technology and automobiles. A quantum computer could carry out an immense number of calculations simultaneously by harnessing the unique properties of quantum. This allows them to process information in a completely distinct manner from classical computers, surpassing the capabilities of even the most powerful supercomputers available today. Quantum computing is going to change everything and even how we understand the world. The core advantage of quantum computers lies in their fundamental building blocks. Let's delve into the core advantages of quantum computers. The easiest way to explain quantum computing is by comparing it to classical computation. Conventional computers work on the basis of binary logic or ## Safety and Security in Automated Driving DevFeed: [Safety and Security in Automated Driving]() Original publisher: [Read original article]() Author: Adam Published: 2019-07-08T00:00:00Z Content type: opinion Language: en Sources: [Shostack & Friends Blog]() Topics: [autonomous vehicles](), [Security](), [risk-management](), [Cybersecurity](), [Architecture & Design]() Tags: [automotive](), [autonomous-vehicles](), [driving](), [risk](), [risk-management](), [safety](), [security](), [systems]() ### AI overview This commentary examines how cybersecurity can be integrated into the established safety discipline for automated driving. It discusses threat modeling, minimal risk conditions, emergency stops, risk-treatment strategies, and risks associated with generic vehicle architectures. ### Source excerpt Let's explore the risks associated with Automated Driving.