This #WeekendReading, we bring you an article from Metal AM Summer 2021 issue, which explored an unexpected consequence of the COVID-19 pandemic: its impact on the multibillion-dollar semiconductor market. Here, Scott Green and Niels Holmstock 3D Systems Corporation, and Lieven Vervecken and Gert-Jan Paulus Diabatix, explore how metal AM can be used to increase efficiency in semiconductor fabrication and boost the speed at which these vital components can be produced. 📌 Read the full article: https://lnkd.in/g9XFyCN4 ❓ Ready to deep dive? view all articles from our archive here: https://lnkd.in/gFQJZf_e #additivemanufacturing #3dprinting #AI #semiconductor
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StudioX, an Enterprise AI platform offers an advanced deep-learning solution for automated silicon wafer defect classification, revolutionizing semiconductor manufacturing processes. Learn more at: https://lnkd.in/gxHy8wtb #siliconwafer #defectclassification #ai #semiconductor
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AI is at the heart of our products and business processes. At Intel Vision 2024, Tanja Rueckert talked with Pat Gelsinger about Bosch and Intel Corporation working together to bring smart manufacturing to a next level. Already many products in the Bosch portfolio are manufactured with the assistance of AI. Now Bosch and Intel will explore how to further optimize manufacturing using Generative AI technology, running on Intel Gaudi accelerators. Together we will examine how to take the creation of synthetic training data of manufacturing anomalies to a new level to further enable automated optical inspection. See Pat and Tanja talk AI in manufacturing at the Intel Vision keynote: https://intel.ly/3VMsyk9 #AI #GenAI #GenerativeAI #manufacturing #IntelVision #IntelGaudi #keynote
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Live Webinar: MatGPT™ - Accelerated Alloy Development through Combination of LLMs, Machine Learning, Simulation, and Validation 📅 21.11.2023, 13:00–14:00 Uhr 📍 Register here: https://lnkd.in/eaidB7Kz 3D-Druck Nord welcomes Jun-Gyu Kim, Dr. rer. nat. and Bhuiyan S. M. Ebna Hai, Dr.-Ing. from Fehrmann MaterialsX for their upcoming webinar, introducing MatGPT™, a tool that is revolutionising the aluminium alloy industry through the use of artificial intelligence and simulation. With this technology, special applications that used to require several years can now be identified, recommended and developed in a significantly shorter timeframe. This not only means a significant increase in the availability and sustainability of new materials, but it also fundamentally changes the approach to the selection, development and qualification of these materials. #digitalefertigung #AI #MaterialsScience #webinar #3ddruck
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Machine vision systems help drive revenue by automating disparate inspection processes. However, successful implementation can be challenging. Download this whitepaper to learn how to manage it. https://bit.ly/3perDuS #Semiconductors #Electronics #AI
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Here's an interesting article on how AI-informed imaging can detect subtle defects in semiconductors. #visionsystemsdesign has the details: https://bit.ly/402sCfK. #machinevision #AI #automatedinspection #visionsystem.
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AI Gears Up for Better Machine Design: Optimizing Cylindrical Couplings Traditionally, optimizing machine elements like cylindrical shrink-fit couplings relied on complex analytical methods. Muhammad Shahrukh Saeed, Jan Falter, Valesko Dausch, Markus Wagner, & Matthias Kreimeyer from the University of Stuttgart explore how artificial intelligence (AI) can improve this process (ICED23, Proceedings: DS 122). https://lnkd.in/g8tj_NmR Join the "Design is a Team Sport" movement at ICED25 Dallas! Can AI revolutionize machine design? Share your thoughts on the potential of AI for optimizing machine elements and the future of engineering design. Don't miss out! · Register for ICED25 Dallas: iced.designsociety.org/ #AI #MachineDesign #Optimization #CylindricalCouplings #Engineering #IndustrialDesign
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Have you ever wondered why electronics sometimes fail right out of the box? The problem often lies in defective components. In the complex world of electronics, encountering such components is common. But imagine a future where these glitches are spotted before they even become a problem. That's where the magic of AI comes into play! 💡 Cybord is a platform that uses AI to detect faulty components and ensure device quality. It can process millions of images daily and guarantee the quality of every device component. We're pooling our expertise to tackle the current challenges in electronic reliability and to redefine what's achievable for the future. Watch our video case study to discover how AI is reshaping the future of electronics. #AI #FutureOfElectronics #CaseStudy
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This is nice work and highlights one (among many) of the nice things about doing stuff in quantum circuits/processes or just tensor networks (anything unitary, as it turns out); if you want to see what inputs precipitate a given output in your system, just invert the system, give the output to be analysed as input, and you get the distribution of likely inputs as the output 🤯
Founder Cambridge Quantum Computing/Quantinuum. Vice Chairman of the Board and also Chief Product Officer of Quantinuum
When we make a car, or a plane, or even a pair of scissors, we understand how they work, component by component. When things dont work, we know why they dont work, or we can find out, systematically. We also build systems in critical areas such as healthcare where we know how inputs and outputs are related. This simple construct is required if Ai and LLM's, remarkable and impressive as their progress has been, are to truly be deployed across society for our benefit. This problem - this lack of 'safety' is not a new concern. In fact "XAI" as a movement ('explainable Ai') has been born out of this concern. In our new paper we take a rigorous and very detailed look at how (and why) Ai systems need to be 'explainable' and 'interpretable' by design, and not by some obscure costly and partially effective post-hoc method. This paper and the associated note in the link below is our contribution at this critical time to the global debate about Ai systems be they powered by classical computers and GPU's or by Quantum systems https://lnkd.in/gyahzPAC #artificialintelligence #ai #llm #computerscience #quantumcomputing
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CEO & Founding Partner Serendipity Capital; Deputy Chairman Pollination; NED Fortaegis; NED Deep Labs;
Quantinuum today released a really important paper on "Explainable AI". This is a profound issue as LLM's become integrated into the activities of large companies including financial institutions, health systems and Government. "Explainable AI" is foundational in addressing ethics and safety concerns as these models become ubiquitous. This work is part of Quantinuum's broader AI strategy, which includes using AI to improve quantum computing, using quantum computers to improve AI, and – in this case - using the tools of category theory and compositionality to help us better understand AI. #quantumcomputing #artificalintellignce #LLM #aiethics #serendipitycapitalportfolio
Founder Cambridge Quantum Computing/Quantinuum. Vice Chairman of the Board and also Chief Product Officer of Quantinuum
When we make a car, or a plane, or even a pair of scissors, we understand how they work, component by component. When things dont work, we know why they dont work, or we can find out, systematically. We also build systems in critical areas such as healthcare where we know how inputs and outputs are related. This simple construct is required if Ai and LLM's, remarkable and impressive as their progress has been, are to truly be deployed across society for our benefit. This problem - this lack of 'safety' is not a new concern. In fact "XAI" as a movement ('explainable Ai') has been born out of this concern. In our new paper we take a rigorous and very detailed look at how (and why) Ai systems need to be 'explainable' and 'interpretable' by design, and not by some obscure costly and partially effective post-hoc method. This paper and the associated note in the link below is our contribution at this critical time to the global debate about Ai systems be they powered by classical computers and GPU's or by Quantum systems https://lnkd.in/gyahzPAC #artificialintelligence #ai #llm #computerscience #quantumcomputing
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Glimpse into the Future of AI in Semiconductor Manufacturing Get an exclusive look into the mind of our CEO and co-founder, Jon Herlocker, as he discusses the role of AI in revolutionizing semiconductor manufacturing. Tignis is working with OEMs on next-generation toolsets, enabling AI/ML as the core of process control. Machine learning will enhance agility, productivity, and the ability to produce more complex devices reliably. Don't miss out on the future of technology! Read the @SemiEngineering article: https://bit.ly/49ZHdMA #Semiconductor #AI #SemiconductorManufacturing #MachineLearning #Innovation #Tech #Tignis #ProcessControl #AIML #SmartManufacturing
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Talking Engineering at Trust Me, I'm An Engineer
1moA mix of 3D and 2D+ geometries.