William Dunnion

🚀 Exciting News in Quantum Computing! 🚀 Perhaps it’s gone unnoticed by many, but two days ago, Google unveiled its latest quantum chip, Willow, marking a significant breakthrough in the field of quantum computing. Willow demonstrates exponential error reduction as it scales up, a major milestone that has been pursued for nearly 30 years. In a benchmark test, Willow performed a computation in just five minutes that would take the world's fastest supercomputer 10 septillion years to complete. This achievement brings us closer to building practical, large-scale quantum computers that can revolutionize fields like engineering, medicine, energy, and AI. Stay tuned for more updates!

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Completed an introductory course on Vector Databases. It provided a great overview of how vector databases enable efficient and accurate similarity searches, which are essential for various applications and how these databases are crucial for powering RAG systems. #LearningJourney #VectorDatabases #AI #MachineLearning

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I see terrible approaches to automotive software almost every day, and it’s getting worse as experienced embedded engineers retire and the skill and experience isn’t being replaced. It’s also not helped by a trend of inappropriately applying technologies and processes from the IT domain to the automotive domain. I personally blame a lot of this on the widespread prefix “legacy” applied to car makers, a profoundly ignorant and arrogant failure to understand the automotive domain. So one particular sentence from this article jumped out at me: “Incumbent automakers have been slow to fully develop over the air (OTA) software update capabilities due to legacy architectures and personnel development.” No, it’s mostly due to an abundance of caution from an understanding of the catastrophic consequences of something going wrong. Of course, considering the possible consequences of actions is very unfashionable these days - hence the appearance of the term “FAFO”. I’ve written before about why OTA is hard: https://lnkd.in/eyiJdnZ9 https://lnkd.in/eDZrbifQ

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🎙️ "The Future of Automotive Isn't Under the Hood." Just dropped: An eye-opening conversation with automotive titan Sarah Sillars OBE that's challenging everything we thought we knew about the industry. Inside this episode: 1/ Why coding might be more valuable than mechanical skills in 2025 2/ The hidden opportunity in automotive cybersecurity (and who's hiring) 3/ How the Automotive 30% Club is transforming leadership demographics 4/ The surprising skills EV manufacturers are desperately seeking 5/ Which traditional automotive roles are evolving (and how to stay ahead) 🎯 Reality Check: The industry that built the 20th century is being rebuilt for the 21st. Are you prepared? Must-listen for: ✓ Automotive professionals plotting their next move ✓ Tech leaders eyeing the automotive space ✓ Anyone interested in the future of mobility 🎧 Full episode here: [https://lnkd.in/dU9rEYzj] ♻️ Know someone navigating this transformation? Share this with them. Also, like and comment below. #AutomotiveInnovation #FutureOfMobility #EVs #TechTalent #AutomotiveTech #DigitalTransformation #Cybersecurity #AI #LeadershipDevelopment #Skills2025 #automotive #automotiveindustry

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In our latest blog, we delve deep into the world of automobiles, highlighting the 5 most common cars with engineering challenges and the 5 which take the top spot for engineering excellence: https://lnkd.in/eQhMHbbH #engineering #engineer #carrepairs #vehiclerepairs #automotive #motormanufacturing

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I’ve just published our 8th Episode of Talking Product: VW’s struggle with EV https://lnkd.in/eSKinivq In this session Collin Lyons & I use Volkswagen’s struggle to build Electric Vehicle (EV) software as a way to explore two themes: 1) the importance of getting a digital transformation right, and 2) the opportunity presented to competitors when large players simply cannot deliver good quality digital products. We use two articles from the Financial Times as a springboard for our conversation. The first article, dated Jun 28, 2024 “Oliver Blume, VW and Porsche boss steering an EV strategy shift” https://lnkd.in/e9C6fDSA and the second one, published September 2, 2024 “VW considers closing factories in Germany and cutting jobs” https://lnkd.in/emEY_fBj (both behind a paywall - sorry) The first article describes an investment of $5 billion in the US based EV startup Rivian. The purpose of the investment is to create a joint partnership that allows VW to use Rivian’s EV software. The article quotes VW’s CEO Oliver Blume as saying, “In terms of a big tech transformation, you can’t do it all on your own… It should be a win-win situation . . . The motivation from our side is to speed up software transformation at Volkswagen in all our brands. Rivian has best in class architecture . . . Volkswagen has the scale”. Collin and I explore this thinking of an acquisition / strategic partnership as a means for fixing an internal digital transformation challenge. As we ask in the show, what mental models will need to change for these two companies - a digital native and a non-digital native, to work effectively together? As Collin highlights, ultimately these transformations are culture changes, which require heavy-lifting. You can find our previous episodes of Talking Product here: Apple: https://lnkd.in/dFHcYqz6 Spotify: https://lnkd.in/dSXM52KX Podbean: https://lnkd.in/dntJBXjJ Hope you find the session useful. If you like the show, please give us a nice rating and recommend the show. It helps others find the podcast.

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Are vehicle manufacturers becoming software companies? Clearly some are taking vast amounts of software development in-house, others are relying on Tier 1. What do you think is the right approach? Either approach requires more specifying and architecting than done in the past. Systems Engineering and MBSE give this capability, providing clarity and capacity. Transformation is tough, but what is harder: improving your engineering approaches or delivering uncompetitive vehicles in this rapidly evolving environment? https://lnkd.in/emTTpne2 #mbse #automotive #systemsengineering Capgemini Engineering

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Anyone worked on Automative Grade Linux(AGL)?? Wanted to understand how do we add/integrate custom code or Application code into downloaded AGL build. Any suggestions/help will be appreciated. Automotive Grade Linux Walt Miner Devendra Bharadwaj

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CARMAGEDDON ❗ 🚗 The EU and UK Car Industry's Struggle with EV Transition ⚡ The car industry in Europe is facing significant challenges as it shifts towards the production of electric vehicles (EVs). Sky’s Ed Conway takes a deep dive into the crisis, exploring how China has emerged as a dominant force in the EV market and whether European automakers can keep up. 🔍 Watch the full video to understand the impact on the industry and the race to stay competitive: 👇👇👇 #ElectricVehicles #CarIndustry #EVTransition #AutomotiveCrisis #BYD #EUAutomotive #UKAutomotive #ChinaEVs #Sustainability

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At Autonomia, we are thrilled to be among the few tech companies selected to participate in Digital Catapult's quantum accelerator programme. Looking forward to working with Digital Catapult and leading industry experts ORCA Computing and PQShield to reap the benefits of quantum computing, tackling some of the biggest engineering challenges in optimisation and machine learning. Read more here: https://lnkd.in/eBRGF2NZ #quantumcomputing #deeptech #sustainability #energymangement #EV #autonomous #optimisation #DigitalTransformation #UKInnovation

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🚗 What skills are in demand for automotive engineering roles? 1. **Electrification Expertise:** As the industry shifts towards EVs, knowledge in electric powertrain and battery management systems is crucial. 2. **Software Development:** Proficiency in software engineering and programming languages like Python and C++ is increasingly vital. 3. **Autonomous Systems:** Skills in AI, machine learning, and sensor technologies are highly sought after for developing driverless cars. 4. **Data Analysis:** Ability to handle big data and analytics helps in optimising vehicle performance and customer experience. 5. **Cybersecurity:** Ensuring vehicle systems are secure against cyber-attacks is becoming more critical. Enhancing these skills can significantly boost your career in automotive engineering! #AutomotiveEngineering #FutureSkills #CareerDevelopment

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Code unification is key 🔑! How else will we achieve full multi-scale multi-domain simulation capabilities in the future? 🤔 Next step, adaptation for quantum computing hardware architectures! 🦾👊

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Dive into model-based systems engineering with this System Composer Onramp course where you will gain practical skills in constructing system architectures and connecting them to requirements, all through interactive, self-paced online modules.

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Functional Safety in Autonomous Vehicles - Not taken seriously? I was speaking with a candidate last week who works for a start up developing an L4 autonomous vehicle for public transport. As the lead FuSa Engineer for the project, he told me that safety was not taken seriously by the company. Much of his time is spent firefighting other stake-holders, educating them on the importance of safety being embedded in design. You would surely think that in the highly safety-critical case of fully autonomous vehicles, fostering a strong safety culture would be a top priority. How is it possible that a company developing an AV has made safety an afterthought? #functionalsafety #autonmousvehicles #automotive

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