Christophe Cazes

https://lnkd.in/eYG2yqvq Interesting and enlightening symposium yesterday on AI organized by Opmobility and MIT, with participants from MIT, ENSTA, CEA, Microsoft, start- ups… Full video replay below (8h) Some learnings for me : ✅AI performance (measured by tests) ≠ reliability (robustness to unforeseen conditions / input) are different things. AI reliability is difficult to predict and demonstrate, AI makes sometimes some very big mistakes humans would not do. That’s why for example in mechanical design, AI cannot replace classical physics simulation but can reduce number of design-simulation loops by helping designers to design right the first time. It can also help finding new and better designs such as molecules much more quickly (hours vs years) ✅LLM which are creating the buzz today (chatGPT…) are only 15% of AI and it is very likely that it will be so for a while : the future is not big and energy-consuming LLM AI engines (“big brothers”) in charge of everything. Rather, AI world may somehow reproduce human organisation = a set of multiple specialized AI agents (based on multiple AI technologies customized for each use case), requiring orchestration. We have seen a few from various startups during the day, where AI augment humans to do better, but do not replace them. ✅Specialised AI models are part of the knowledge of a company even though their content are black boxes… ✅AI can help solve climate challenges as long as it is used for that purpose and not for useless things that would rather increase the problem due to high energy consumption of LLM for example (ex: use chatGPT for fun) ✅EU regulations (AI act, data act) can be seen as opportunities to be more “responsible”, rather than constraints. ✅As well as for any innovation, it is required before thinking about solution to first have a deep understanding of the problem to solve. This end to end problem-solving skill (problem-solution-execution) is often lacking, but is key and needs to be practiced as a muscle. This reminds me of some “lean management” concepts. ✅Learning AI is a road that needs to be started humbly by easy improvements of current tasks bringing value, and chatbots are not the best use cases…

13

Curious about how synthetic data is transforming Industry 4.0? Want to dive into innovative use of synthetic data for digital twins by the automotive industry? Interested in training robots with synthetic images in the "robot gym"? The book "Synthetic Data: Revolutionizing the Industrial Metaverse" has all the answers you need. 🚀💡 Explore the future of industrial innovation with NVIDIA Omniverse based synthetic data and discover the potential of advanced AI models. Learn how to leverage BMW Group's SORDI.ai dataset for virtualized industrial assets and understand the impact of digitalization on smart factories. Ready to take your knowledge to the next level? #robotics #ai #design Jimmy Nassif Joe Tekli Rev Lebaredian Get your copy now https://lnkd.in/diHQKU-F and revolutionize your understanding of the industrial metaverse! 📚💥 #metaverse #industry

91

In the world of embedded systems, the need for efficient and customizable build processes has never been more critical. Enter oebuild, a powerful meta tool that simplifies the development of openEuler Embedded distributions. Developed by the openEuler community, oebuild is a game-changer, offering a streamlined approach to building and configuring openEuler Embedded platforms. openEuler Embedded is a Linux distribution for embedded scenarios, a high-quality, Linux-centric, and multi-scenario embedded software platform. At its core, oebuild is designed to automate the build process, reducing the complexity and time-consuming nature of traditional embedded development workflows. By leveraging the strengths of the Yocto Project and the openEuler ecosystem, oebuild provides a unified environment for developers to create customized openEuler Embedded distributions tailored to their specific needs. One of the standout features of oebuild is its ability to automatically download and manage the necessary build dependencies, including the yocto-meta-openeuler, yocto-poky, and yocto-meta-openembedded layers. This streamlined approach eliminates the tedious task of manually managing these dependencies, allowing developers to focus on the core aspects of their project. Another key advantage of oebuild is its use of containers to create an isolated build environment. This containerized approach not only reduces the risk of host contamination but also simplifies the configuration and dependency management of the build system. Developers can easily spin up a consistent and reproducible build environment, ensuring that their projects can be seamlessly replicated across different platforms and team members. Beyond the build process, oebuild also offers a range of additional features that enhance the overall development experience. These include the ability to manage SDK environments with different feature sets, the capability to simulate QEMU images online, and the option to deploy and uninstall packages directly on target machines. The installation and setup of oebuild are straightforward, with the tool being implemented in Python and supporting Python 3.8 and above. Developers can install oebuild through pip, and the initialization process creates a dedicated workspace with the necessary directory structure and configuration files. One of the standout aspects of oebuild is its adaptability to the openEuler ecosystem. The tool relies on the yocto-meta-openeuler repository, which has been specifically tailored to work with oebuild. In conclusion, oebuild is a transformative meta tool that simplifies the development of openEuler Embedded distributions. By automating the build process, managing dependencies, and providing a containerized environment, oebuild empowers developers to focus on innovation rather than tedious configuration tasks. #linux #os #embedded #opensource #openeuler https://lnkd.in/e72BagpD

2

#Toyota recently announced a new #battery #electricvehicle factory that will begin #production of new models in 2026. Not only will these #cars be designed and built differently, they will be powered by a range of new, advanced batteries. Details of four next generation batteries have been revealed, demonstrating state-of-the-art advances in both liquid and solid electrolytes. Toyota has also previewed further progress with solid #electrolyte battery #technology. 🚩 Strategy includes three new liquid electrolyte battery technologies to achieve higher power, longer driving range, faster charging and lower cost 🚩 Breakthrough in solid-state battery technology shifts the development focus to mass production 🚩 Battery height reduction key to improvements in driving range

7

“The Chinese Semiconductor Industry and Effects on the Global Automotive Industry” Interview with Ron Hesse features Dr. Doug Sparks, CEO of M2N Technologies LLC, a consulting firm specializing in semiconductors, MEMS and sensors, including their supply chains. Dr. Sparks is also the author of a new book: "A Decade in the Chinese Semiconductor Industry: An American’s Story". To listen to Interview, visit here: https://lnkd.in/gxwrD6aF In the 11-minute Audio Interview, Dr. Sparks discusses these questions: • How are US export controls impacting China’ semiconductor industry and more specifically the automotive electronics industry? • What is China’s strategy to get around all the restrictions that the US and its allies are putting around technology export to China? • How is the explosion in EV exports from China related to the semiconductor industry and are there similarities in these markets and supply chains? • Is there an over capacity issue in semiconductors like there is with EVs? • Are there risks of using Chinese EVs with all the semiconductor sensors integrated into them for autonomous vehicle operation mode? #automotive #automotiveindustry #China #US #Taiwan #global #OEMs #suppliers #chips #semiconductors #manufacturing #production Lis McNeil Chad Upton Cathie Bliss John Horrell Ron Hesse Doug Sparks About Dr. Doug Sparks: “The Chinese Semiconductor Industry and Effects on the Global Automotive Industry” with Ron Hesse features Dr. Doug Sparks. Doug is the CEO of M2N Technologies LLC, a consulting firm specializing in semiconductors, MEMS and sensors, including their supply chains. He has just published a new book, A Decade in the Chinese Semiconductor Industry: An American’s Story. Doug was the CTO of Hanking Electronics which built a high-volume wafer fab in Shenyang, China. In addition to China, he has international semiconductor business experience in Japan and Europe as well as the US in medical, industrial, aerospace, consumer and automotive markets. He also founded NanoGetters, a microchip packaging company which was acquired by Materion. He worked at Delphi and General Motors early in his career, and is a graduate of Purdue University. To listen to Interview, visit here: https://lnkd.in/gxwrD6aF

33

Achieving widespread battery repairability requires a concerted effort from OEMs. Standardization of battery design, diagnostic tools, and repair processes is what ensures safety, efficiency, and consistency across the industry. OEMs must collaborate with regulators and industry associations to establish clear guidelines and best practices for battery repair and remanufacturing. This proves as a great way to maintain industry standards and expectations. #BatteryRepairability #SustainableAutomotive #CircularEconomy

1

How do the major PLM developers generally view PLM's role in SDV (Software-Defined Vehicles) development and the electrification technologies as growing parts of vehicle and transport product realization? The question is brought up to date not least by the announcement this week from the Volvo Group and Daimler Trucks to invest in a 50/50-owned company for the development of an SDV platform for trucks. In an earlier published article, I have taken a closer look at this through interviews with leaders of major players in the automotive industry. Siemens Digital Industries Software’s CEO, Tony Hemmelgarn, is one of the PLM profiles interviewed. He is today the longest-serving executive among the big PLM players. The claim that the car industry is going through a unique technologically explosive phase right now is no exaggeration, he notes. As AI, electrification, electronics and software—as some of the most prominent new technologies—pave the way and dramatically change product development, timing is everything, for everyone. The right tool at the right time is of the utmost importance. This not only affects PLM developers, such as the leading player in the automotive market, Siemens Digital Industries Software, but also fundamentally changes the situation of car manufacturers. Today’s cars are more connected, software-controlled, autonomous and electric than ever. Each of the vehicles contains, or will soon contain, millions of lines of code and must daily be able to handle terabytes of data. This is a huge undertaking and it has led to a ”volcanic” change in the way several major vehicle manufacturers work, not least to now quickly build up sophisticated infrastructures for software development. ”What the automotive industry is going through is actually nothing less than an industrial drama,” says Tony Hemmelgarn. ”The fight among the contenders is fierce and there are three areas that stand out: Software/electronics, digital manufacturing processes and in a 5-10 year perspective the full impact of artificial intelligence.” In this interview he also comments the problems that the automotive industry is facing in terms of declining share of sales for electric vehicles. ”New technologies are breaking new ground, often resulting in high growth numbers from initially low volumes," he says adding, "but newly established manufacturing methods, high battery costs, decreasing subsidies and a sluggish growth rate in terms of charging stations can, in parallel with a generally declining economy, backfire in the form of declining sales. We’re talking about a complex chain of events here that not always move in pace. But over time, the assessment is that electric cars are so important to the sustainability and environmental health of the planet, that today’s declining numbers probably represent more of an unexpected notch in the upward curve than a long term decline.” Click on the headline to read the full interview on PLM&ERP News.

3

Question to the automotive design XR experts out there: Does Autodesk VRED Professional support GPU Raytracing in Virtual Reality (!) using multiple GPUs? e.g. 2x RTX 6000 Ada? What is the performance boost having a second GPU? How many GPUs can be used, also 4 or 8? Victor Perez maybe you can help

13

16 commentaires

🌟Celebrating a Milestone for Innovation: 🌟 Integration of #CO2-Saving Wheel Modules in VECTO for European #CO2_Regulation_approved_by_TCMV   I am pleased to share that the TCMV has officially approved the integration of #Wheel_Modules into #VECTO, amending Regulation (EU) 2017/2400. This marks the successful conclusion of our Wheel Module for VECTO activity for #Trucks and #Busses!   After years of intensive work of the Wheel Module Working Group the regulation proposal to integrate the benefits of friction optimised wheel bearings was positively voted on by #TCMV. Under the guidance of the European Commission, the industry has defined a standard for measuring the friction of wheel ends. This achievement underscores the principle that “only what gets measured gets done.” The integration of Wheel Modules into VECTO is not just a regulatory success; it’s a catalyst for innovation and the phase-in of emission reduction technologies in trucks and buses.   **Why all this effort?** Because every gram counts. With optimized Wheel Bearings, we expect an improvement of more than 1% in a truck-trailer combination. While 1% might seem small, trucks and buses account for around 40% of global CO2 road transport emissions and about 7% of global CO2 emissions. In #battery_electric, #Fuel_Cell and #hybrid trucks, we see a 1.33 times higher saving potential, as we also save during recuperation phases.   **A huge thank you** to everyone who supported and worked on this project over the years. Special thanks to: - Nikolaus Steininger (EU COM) Dimitros Savvisis (EU COM) Yacine Khellaf (EU COM) Krisztian Uhlik (EU COM) Axel Maurer (ACEA/MAN) for supporting us to bring this topic forward. Martin Rexeis (TUG) for your guidance along the way. Iddo Riemersma for keeping us on track and all the team for your dedicated work e.g. Stijn Broekaert (EU COM) Evangelos Bitsanis (JRC) Bernd Kolb (Schaeffler) Paul Bärenstecher (Schaeffler) Alex Gieser (Schaeffler) Jean-Yves Baquet (Schaeffler) Jürgen Eyrich (SKF) Peter Volpert (SKF) Larissa Pataky (SKF) Michael Pehle (BPW) Moritz Schmitz (BPW), Klaus Brunnberg (Gigant) Michael Schober (Daimler) Kent Augustsson (Volvo) And to all those I may have missed – your contributions have been invaluable!   **Next steps** We are awaiting now the approval from EU Parliament, Council and the Publication in the Official journal.  This regulation shall also be a blueprint for the integration of Wheel Modules in the trailer regulation in the first amendment to (EU) 2022/1362. I keep you updated.   Together, we are driving the future of sustainable transport. 🚛🌍

49

6 commentaires

11 Steps to Build an #AI Road map for #Automotive Manufacturers and Suppliers In talking with some clients, prospective clients, and other colleagues during the past few weeks our CEO and Co-founder, Carolyn Peer, discovered that there is still a lot of confusion around designing a Generative AI road map for large, enterprise organizations – especially in the Automotive Industry. Equally confusing, perhaps, is the terminology around Artificial Intelligence. She would like to help. Here's what she shared: When mapping out a Generative AI Roadmap, you will need: 1. Problems to Fix and Overall Goals 2. Supporting Organizations/People 3. Experimental Use Cases/POCs (Proofs of Concept)/Pilots 4. #DataReadiness including ownership, licensing, quality, and availability 5. Ecosystem Partnerships and Collaboration – Expertise and experience needed 6. Technologies and Techniques 7. #DataSecurity, Privacy, and Compliance 8. Integrations and workflow needs 9. Training Needed 10. Success Criteria and KPIs (Key Performance Indicators) Identified 11. Strategies to Iterate, Modify, Expand To read all the details: https://lnkd.in/duCYF4SA Jennifer Gargulinski Tim B. Lisa Thee

7

2 commentaires

⚡ Fluent combined with #SimAI ⚡ Using a cloud-enabled AI platform developed for simulation, engineers and designers can easily and reliably predict the performance of physics behaviour with lightning speed, such as fluid dynamics performance for automotive. They can leverage already available simulation results to train the AI platform and then use the platform for incredibly fast performance predictions. This enables the very rapid testing of many design iterations and exploration of a wide design spaces. Ansys #SimAI Prediction on new SUV geometry takes less than 1 min. SimAI Drag error compared to CFD is less than 0.5% (5 to 10 drag counts) and accurate skin friction field and wake topology prediction. Left: Fluent - Right: AI Prediction from #SimAI 🌎 Source: Ansys (Mazen EL HOUT) 📥 Latest newsletter: https://lnkd.in/d7B7fqA #engineeredmind #science #technology #engineering #cfd #simulation

1 956

97 commentaires

⚡ Fluent combined with #SimAI ⚡ Using a cloud-enabled AI platform developed for simulation, engineers and designers can easily and reliably predict the performance of physics behaviour with lightning speed, such as fluid dynamics performance for automotive. They can leverage already available simulation results to train the AI platform and then use the platform for incredibly fast performance predictions. This enables the very rapid testing of many design iterations and exploration of a wide design spaces. Ansys #SimAI Prediction on new SUV geometry takes less than 1 min. SimAI Drag error compared to CFD is less than 0.5% (5 to 10 drag counts) and accurate skin friction field and wake topology prediction. Left: Fluent - Right: AI Prediction from #SimAI 🌎 Source: Ansys (Mazen EL HOUT) 📥 Latest newsletter: https://lnkd.in/d7B7fqA #engineeredmind #science #technology #engineering #cfd #simulation

667

33 commentaires

🤩 What happened linked to the Software-Defined-Vehicle 🚘 and Automotive AI 🤖 space? As always, I share my personal view. ✍🏻 Please add your comments below and reshare with your network! ➡️ What is the connection 🤝 between AI 🧠 and SDV 🚘? AI applications and models are used to improve the performance of several Software Defined Vehicle layers. Features and functions are enabled or improved by AI applications. ➡️ ADAS and AD functions, which are seen as one of the most important features of modern vehicles are not feasible without enough compute capacity in the vehicles and also not without AI applications on-board and in the cloud. ➡️ Next do ADAS and AD, smart cockpits are seen as the differentiator to win and keep customers. OEMs like Mercedes-Benz AG, NIO, XPENG or Stellantis brands implement AI enabled features like virtual assistants 🤖, gaming 🕹️ or music 🎶 features to meet customer expectations. ➡️ Implementing AI and SDV solutions are not plug and play and there are also no one-fits-all solutions that could be rolled out globally. Taking ownership 🎯 and building long term ⏳ strategies are key for sustainable success. ➡️ Thinking about business models and business cases 💰 should be on the agenda as well. OEMs might not be able to charge fees from users for AI enabled assistants but need to cover the costs for using 3rd party AI models (like OpenAI), utilisation of cloud infrastructure (Amazon Web Services (AWS), Google Cloud, Microsoft Azure) , connectivity costs (Verizon, Deutsche Telekom, Vodafone) and other implementation partners 🤝. Here are some news: 👉 NIO is tapping a partnership with Microsoft to use the Azure Cloud platform and the OpenAI foundation models to offer the AI enabled Nomi assistant outside of China: https://lnkd.in/dD78uNtq 👉 As predicted, Wayve seems to pivot from L4 AD solutions to L2 and above ADAS features. Its latest investor SoftBank tries to push sales to selected OEMs: https://lnkd.in/d4rrQN-W 👉 BYD and Huawei to collaborate? Huawei's Qiankun ADS 3.0 might be implemented. BYD is investing 💰 heavily in own smart driving technology, Huawei is gaining market share by signing deals with different OEMs and by pushing own vehicle brands: https://lnkd.in/d2_jEX9c 👉 Tesla talent seems to join xAI to work on AI models and applications. Seems that not only GPUs are getting re-routed to X and xAI, also talent is moving over: https://lnkd.in/dgDuRgai 👉 OpenAI and Google Gemini seem to be the AI models of choice for OEMs to enhance in-vehicle assistants, probably driven by existing cloud partnerships. Curious to see, when some of the OEMs might shift to Open Source Models like LLaMA 3.1 from Meta or the open source models from Mistral AI: https://lnkd.in/dJfKWdaA 👉 Beyond the vehicle: Hayden AI raised an $ 90 million series to scale the AI enabled solutions for traffic management and enforcement: https://lnkd.in/dKjAC-6c #AI #SDV #Mobility

339

10 commentaires

🚗💡 The landscape of affordable electric vehicles (EVs) in Europe is evolving rapidly. Recently, Volkswagen walked away from talks with Renault to jointly develop an electric version of the Twingo, a move that could reshape the market dynamics for affordable EVs. This decision means VW will now pursue its own path to create a low-cost EV, while Renault continues to design its electric Twingo, slated for a 2026 release. Both companies had hoped to share development costs to better compete against the influx of cheaper Chinese EVs. The potential partnership was seen as a step towards an "Airbus for autos," a unified European front against external competitors. At Expleo Group, we understand the critical role collaboration plays in driving innovation and cost-efficiency. This development raises a pivotal question: In the face of rising competition from Chinese automakers, should European car manufacturers prioritize collaboration over competition to accelerate EV advancements and cost reductions? https://lnkd.in/ej2fFFfN

33

Homologation Made Easy​ #MasterFamily hashtag #ECM T-Systems UK Homologation made easy with TypeMaster​ Registration processes in the hashtag #automotive industry are becoming increasingly complex and time-consuming. ​ It's easy to lose track of things and therefore important working time. 🙁​ To simplify the hashtag #homologation process, there is the hashtag #TypeMaster from T-Systems. TypeMaster simplifies these processes and helps with the documentation and approval of vehicle production.​ Still a little unclear? Find out more in this video: ⬇️​

5

The are always places to go when you need reference data ➡️ Here is where I go for profitability of automotive passenger car OEMs ➡️ This table shows automakers' profitability (profits before tax / revenue). 😎 note how “red Ferrari” is very green Why #ww520 - what is that even ? https://lnkd.in/dTkRB7pD From https://lnkd.in/dy-y9yxT #ww520 #ww248 #technology #markets #innovation #future #strategy #wgtp1

424

45 commentaires

𝗗𝗿𝗶𝘃𝗶𝗻𝗴 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗼𝗿 𝗗𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘀𝗮𝘁𝗶𝗼𝗻 𝗕𝗮𝘀𝗲𝗱 𝗼𝗻 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿'𝘀 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀 As driving simulators gain traction in automotive development, the industry seeks solutions that are not only high-performance but also cost-effective, with clear ROI and a fast track to SOP. At the 𝟭𝟬𝘁𝗵 𝗦𝘆𝗺𝗽𝗼𝘀𝗶𝘂𝗺 𝗗𝗿𝗶𝘃𝗶𝗻𝗴 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻, Dr. Gerd Baumann from FKFS will provide an in-depth look into the tailored design and optimization of driving simulators to meet specific customer needs. Drawing from FKFS’s extensive experience since designing the Stuttgart Driving Simulator in 2009, Gerd will outline the process of developing custom simulation solutions. By analyzing requirements across vehicle domains - chassis/vehicle dynamics, powertrain, HMI/UX, ADAS/AD, and NVH - FKFS creates a simulator specification that aligns with both current and emerging industry demands. Attendees will gain insights into the comprehensive methodology, from initial requirements analysis to “request for quotation,” with real-world examples illustrating each stage. Gerd will also discuss the integration of cutting-edge motion cueing algorithms and considerations for infrastructure, safety, and security. Be sure to experience the FKFS Stuttgart Driving Simulator live at the Symposium and see how FKFS’s design approach brings optimized simulation facilities to life for maximum operational benefit. Join us: https://lnkd.in/eZUnzE2V #ASCS #FKFS #StuttgartDrivingSimulator #Simulation #DrivingSimulation #SDS

20

1 commentaire

💡 #DMIS as a lossless transport format for #3DinspectionPlans (for #Calypso, #Quartis, ...) 📖 DMIS (Dimension Measuring Interface Standard) is known as a universal #programming language for #CMM software or just measurement data transfer. 📖 Another advantage of this standardized and very well documented language is its wide distribution. Almost every known common #software for #MeasuringMachines can read DMIS. 🎞 Our video shows a rather different application: DMIS as an #InspectionFile. 📌 Admittedly! Saving a 3D inspection plan as a DMIS program is not a way we advise our customers. Because if you want to do this, you should also define your own spellings beforehand and (very important) announce them to all parties using them. 📢 However, because our customers have developed many of their own formats for 3D inspection plans, which are not as common even with common #CMM software packages, it is worth considering using DMIS as a transmission medium. 🔦 The idea: ➡ One customer had the problem of not being able to import 3D measurement plans into #Zeiss's very well-known software #Calypso. The only two options are a #PcDmis direct #interface and a DMIS import interface. Both have to be booked separately if necessary. ➡ Because #Calypso ignores all SNSLCT and GOTO statements when importing DMIS programs, there is no need to create a collision-free DMIS program. This is because the programming always takes place in the target software. ⚒ The implementation: ➡ We integrated a #GenericDMIS export into our tool #InspectionAdapter. This tool can read all common #InspectionFile formats (#BMW, #Mercedes, #VW, ...). ➡ In the exported DMIS file, all possible claims from the 3D inspection plan can now be displayed. ➡ The import of the inspection plans into #Calypso is now possible without further ado. In the past, the customer used to wear out the keyboard and mouse for this, spending a lot of time 😊. 💰 Another advantage: ➡ With little effort, the DMIS program itself can now also be made running. This is because it already contains generic intermediate positions and driving parameters, which are calculated with changeable parameters. 📺 The video shows another possible application for the #InspectionAdapter: 1️⃣ The creation of an inspection plan in #Caligo (also by #Zeiss) 2️⃣ Conversion of the measurement program with the #InspectionAdapter into DMIS format 3️⃣ Import into #Quartis of #Wenzel (a software that speaks very well #DMIS)

26

3 commentaires