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Altair's Royston Jones was featured in a recent Automotive World article that explores how #AI is transforming product development within the #Automotive space. In it, Jones discussed the power of AI-powered engineering, the drive toward zero physical prototypes, the push to automotive electrification, and how Altair technology is empowering organizations to meet their next-generation goals: https://bit.ly/49rssS9 #OnlyForward

Today, let’s talk about Digital Twins as part of the SODA Technology Triad. At SODA.Auto, we're reinventing the integration of Digital Twin technology in automotive engineering. Digital Twins allow us to create detailed virtual models of vehicles before their physical counterparts exist, revolutionizing our design and testing processes. This enables enhanced simulation, prediction, and insights across all stages of vehicle lifecycle management, dramatically increasing efficiency and reducing time to market. Digital Twin technology is widely used in automotive, but SODA goes a step further adding AI to the equation. AI enriches Digital Twin capabilities, facilitating complex data analysis, enabling predictive maintenance and performance optimization in real-time. This proactive approach enhances vehicle safety and functionality but also ensures they meet the dynamic demands of modern consumers and stringent regulatory standards. Explore how we're driving the future of automotive innovation with Digital Twins. Read the full article here: https://lnkd.in/dx6dCeJy

🤖 Mitsubishi Electric’s Record-Breaking Robot 👇 In a dazzling display of innovation, Mitsubishi Electric has smashed the GUINNESS WORLD RECORDS™ for the fastest time to solve a Rubik’s Cube: a staggering 0.305 seconds! This feat showcases the remarkable intersection of high-speed automation and cutting-edge AI technology. How It Works: ✅ AI-Powered Color Recognition: The robot rapidly identifies cube patterns and calculates the solution in milliseconds. ✅ Precision Engineering: Advanced servos and high-speed automation allow the robot to execute maneuvers with unparalleled accuracy. ✅ Efficiency Redefined: Demonstrating not just speed but reliability, this technology has far-reaching implications beyond entertainment. While this robotic achievement is undeniably thrilling, its real impact lies in the potential applications for high-speed AI in manufacturing, logistics, and data processing. As Alan Turing once observed, “Machines take me by surprise with great frequency.” #Innovation #Speed #AI #Automation #Mitsubishi #Electric #Guinness #WorldRecord #MohammadAlsaheb #Tech #Marvel #FutureOfEngineering 🤝 Don't miss out on the latest global developments - finance, IT, ESG, and beyond. 🔔 Follow along for a well-rounded perspective on insights and trends that shape our world today and tomorrow: 🔗 https://lnkd.in/eR3axAuf ♻ Repost this and help spread the knowledge! ⚠ All video rights and credits are reserved to the respective owner(s).

PARTNERSHIP: hofer powertrain applies #deeptech and #AI in electric drive design Under a new initiative, partners Hofer Powertrain and deeptech engineering specialist Monumo are seeking to leverage AI and deeptech to reduce electric drive design time by 80%.  Johann HOFER, CEO of Hofer Powertrain, said, “This step is a testament to Hofer Powertrain's commitment to technological leadership in the #EV powertrain sector. With partnerships such as #Monumo, we are poised to leverage the transformative power of deeptech technology, realizing truly innovative and futureproof EV solutions.” Dominic Vergine, CEO and founder of Monumo, said, “With Hofer Powertrain we have a strong partner with a track record in realizing #powertrain innovations for over 40 years. While much of generative AI has been used to mimic human behavior, we believe it holds a greater purpose in advancing engineering, especially when applied to global decarbonization efforts.” Read more here: https://lnkd.in/eXfZi8bQ #Automotive #AutomotiveTesting #Engineering #AutomotiveIndustry #AutomotiveEngineering #Mobility #Technology #Transportation #AutoTestMag #AutoTestExpo #AutoTestNovi #AutoTestEurope #AutoTestIndia #AutoTestChina #AutoTestKorea #ukimediaevents

AI-powered electric car battery testing cuts time and costs ◾AI-powered battery testing for electric vehicles could reshape the way we design, optimize, and validate these batteries, providing a fundamental solution to one of the industry’s most pressing challenges. ◾Traditional battery testing methods, which rely on experiments, simulations, and real-world testing, often fail to keep up with the growing demands of the electric vehicle industry. ◾With demand for electric vehicles expected to soar globally, the automotive industry is under increasing pressure to accelerate their introduction to the market while ensuring safety, performance, and sustainability. ◾By leveraging machine learning and AI algorithms, complex data can be analyzed and the behavior of electric vehicle batteries can be predicted, as well as potential failures accurately identified, according to a recent study. ◾A study conducted by the World Economic Forum in collaboration with Forrester Consulting, which included 165 senior decision makers in automotive engineering in North America and Europe, revealed that more than 60% are dissatisfied with current methods, which are dominated by real-world testing and simulation. ◾The study showed that engineers need to adopt a new approach and fast, reliable tools, especially when trying to accelerate the entry of electric vehicles into the market without compromising safety, reliability and sustainability. ◾Engineers often question the opacity of AI algorithms and their outputs, or the so-called “black box” of AI. ◾The study found that the key to overcoming this trust gap is: Carefully designed AI promotes transparency. 🔹Machine learning models with explainable AI provide traceability of inputs and decisions. 🔹Engineers can see data patterns and factors that directly influence AI recommendations, saving time. 🔹AI does not replace engineers, but rather supports them by saving time on repetitive tasks and allowing more focus on creative problem solving. ◾AI-driven solutions for EV battery development offer significant benefits, including: 🔹Accelerating product validation and improving battery designs and material selection. 🔹Self-learning algorithms can analyze thousands of variables simultaneously, providing insights into battery behavior and performance much more efficiently than traditional physics-based models. 🔹By predicting potential failure modes and simulating scenarios, AI reduces the need for extensive physical testing, saving time, waste, and costs. The source:https://lnkd.in/e_NhJdgi #energyticslimited #ev #electriccarbattery #ai

How can digital engineering drive more efficient development cycles in vehicle manufacturing? 🚘 Digital Engineering and data-driven methods are fundamentally changing vehicle engineering and production. However, vehicle manufacturers still struggle to reliably integrate these new technologies and methods into their development processes.   Fraunhofer EMI is now partnering up with JSOL Corporation to support Japanese vehicle manufacturers in tackling this challenge. With combined expertise, we offer assistance with the integration of AI, machine learning, and knowledge engineering into their safety engineering workflows in vehicle development.   🌟 What does the joint initiative entail? 🌟 🔍 𝐍𝐞𝐞𝐝𝐬 𝐀𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭: Systematic survey and analysis of the needs of Japanese car manufacturers and their suppliers. ✅ 𝐉𝐨𝐢𝐧𝐭 𝐏𝐨𝐂 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Utilization of complementary expertise to design and implement solutions for real-world applications as proofs-of-concept. ⚙️ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Development of concrete and customized proposals for joint R&D projects with vehicle manufacturers. Both partners bring extensive expertise to the table: 🔬 Fraunhofer EMI has extensively researched and developed these methods for practical use in advanced experimental and virtual safety evaluation of vehicle structures and protection systems for occupants and road users. 📈 JSOL, a leader in simulation software for crash and occupant safety in Japan, provides advanced analysis technologies and a large network of customers and partners in the Japanese market. By transferring research results into industrial practice, we boost efficiency and competitiveness of our partners. #fraunhofer #automotive #automotivenews #ai #machinelearning #digitalengineering

What do you think of the impact digital twins are making in the automotive industry? 🚗 Automotive design is experiencing a seismic shift, thanks to the integration of digital twins and advanced simulations. These technologies are transforming how we approach engineering and safety, setting new benchmarks and enabling us to navigate previously uncharted territories in design.  💡 At the same time, digital twins and simulations make prototyping faster, reduce costs, and experiment safely with designs in ways that were unimaginable before. By mirroring every aspect of a physical vehicle, these tools help us to predict and solve real-world challenges from our desks.  🌱 And also, with a focus on sustainability and efficiency, digital twins let us optimize everything from aerodynamics to battery life, ensuring that future vehicles are kinder to our planet.  🤖 Moreover, integrating AI and machine learning gives room for smarter simulations that can predict outcomes, optimize designs, and reform maintenance strategies. 🌟 Let's connect and discuss how digital innovation is shaping your industry! #AT4SmartServices #AutomotiveDesign #DigitalTwins #VehicleSimulation #AI #MachineLearning #Innovation #Engineering #Sustainability #AT4SmartServices

Accelerating #AutomotiveSafety: How AI is Transforming Vehicle Design 💡🚗 In the world of automotive engineering, safety is not just a checkbox—it’s a moral obligation. Every vehicle designed has the potential to save lives by mitigating the devastating impact of accidents. The challenge, however, lies in achieving this safety under the pressures of shrinking budgets and ever-tighter development timelines. This is where the power of AI comes into play. Ansys SimAI, a cloud-enabled generative AI platform, is transforming how automotive engineers design for safety. By leveraging artificial intelligence, it speeds up the traditionally time-intensive process of crash simulations. Consider this: a full-vehicle crash event simulation using traditional methods can take 25 to 30 hours, requiring high-performance clusters of 700 to 1,000 CPUs. That’s just the simulation time, not accounting for the months of preparation needed to refine digital models, clear design overlaps, and set baselines. In a recent test, Ansys engineers demonstrated how SimAI could predict the deformation of a car bumper during a high-speed front-end collision. By introducing design variations and training the AI with data from 98 different models, the platform accurately predicted crash outcomes—reducing analysis time from hours to mere minutes. This increase in speed enables engineers to evaluate more design options and pinpoint optimal safety solutions earlier in the development process. But it’s not just about speed. SimAI is built to handle nonlinear, transient events, like crashes, in a way that provides detailed, precise insights into how different vehicle components will behave under extreme conditions. This means automotive engineers are not just left with end-point results, but a full picture of how a crash progresses, giving them the data needed to design safer, more resilient vehicles. With AI stepping into the automotive design process, the industry can produce vehicles that meet rigorous safety standards while reducing the strain on development resources. Discover more about how AI is driving the future of automotive safety with Ansys SimAI here: https://lnkd.in/epSp3D9W #Automotive #Innovation #Technology #Innovation #Safety #AI #CrashSimulation #VehicleDesign #ANSYS

🚀 Exciting News from Our Team! 🚀 I am thrilled to announce that we have embarked on a new venture within our corporation! With over 14 years of experience in the mechatronics industry, we have recently shifted our focus towards the integration of artificial intelligence in our projects. Our goal is to leverage AI to address various industrial challenges such as sorting, quality control, measurement, and more. One of our latest initiatives involves the design and implementation of a high-speed brake pad sorting machine, capable of categorizing around 200 different car models with 7 variants each. This machine is designed to sort over 20,000 units in just 8 hours. I am excited to share the development process with you, step by step. I also welcome any discussions about your industrial challenges, where we might explore AI and mechatronics solutions together! Let’s innovate and solve problems together! 💡🔧 #AI #Mechatronics #Innovation #IndustrialSolutions #Collaboration

At a critical juncture in the automotive industry, generative AI (Gen AI) is emerging as a key driver of change in R&D processes. According to a recent industry analysis, 75% of automotive companies are experimenting with generative AI, a trend that undoubtedly reflects its immense potential value. As the industry shifts from internal combustion engines to electric vehicles (EVs), automakers face significant R&D pressures. By integrating generative AI, companies can optimize design and testing processes, accelerating the time to market for new models. For instance, a rising EV manufacturer in China has significantly reduced vehicle prototype development time by employing generative design tools, gaining a competitive edge in the market. These examples illustrate that generative AI is a technological innovation and a strategic choice for enhancing competitive advantage. Companies should actively explore its applications to maintain a competitive edge in a fierce market. #genAIandHumanities #Automotive #ElectricVehicles