Latest at Monumo

“Beyond Words: Applying AI in the Physical World” at the #CTISymposium in Berlin will introduce a new breed of AI – Industrial AI – not just an administrative tool, but engineering-grade technology delivering real-world results. Discover how this approach helped cut almost 20% of the BOM cost on an electric motor designed for next-generation EVs, with zero loss of performance and completed in just 3 days! Simon Shepherd will be speaking on Wednesday 3rd December at 11:15 in Deep Dive Session L, and several of us from Monumo will also be at the event if you’d like to learn more. 👇 Link to the event in the comments. We look forward to seeing you there!

Many EV teams are still optimising components in isolation. But the real savings only appear when you model the whole system. In our latest article, we explore why system-level design is becoming one of the biggest untapped levers for cost, efficiency and time-to-market in EV development – and why start-ups are using it to outpace larger incumbents. If you work in EV powertrain, this one’s worth a read 👇 #SystemLevelMotorDesign #OptimisedSystemDesign #XIn1

The Alphabet Inc. CEO Sundar Pichai made headlines this week urging users not to "blindly trust" AI, acknowledging that models are "prone to errors" and you need to use other tools to check the output. It is so important that we differentiate between 'clerical AI' and LLMs and the technology used in Industrial AI. LLMs can get you 90-95% of the way there in terms of accuracy and that is tolerable if the last 10% means a quick edit to an email. In complex, high-stakes industries like automotive, aerospace and generation, however, reliability and precision are non-negotiable. Read this interview with our founder and CEO Dominic Vergine about his views on the AI bubble, what good looks like when it comes to ROI on AI investment and why Industrial or Physical AI must deliver complete accuracy and be ready to use. https://lnkd.in/egCu-YX8 #AI #LLM #Google #Alphabet #SundarPichai #VC #Technology #Startup #PhysicalAI