ZEISS Group’s Post

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

LG Innotek’s technology makes the impossible into reality📢 Through groundbreaking AI process innovation, LG Innotek has significantly reduced the defect rate of its camera modules by deriving the optimal process recipe! 💡 LG Innotek is the first in the industry to apply the 'AI process recipe' in the manufacturing process of high-spec camera modules. This achievement has cut the defect detection time from over 72 hours to under ‘6 hours’, and reduced defect rates by up to 90% in key inspection items that previously had a high defect rate! LG Innotek plans to expand the application of ‘AI process recipe’ to the semiconductor substrates manufacturing process this year, further broadening the range of products that can benefit from AI-driven yield improvements. Discover more about LG Innotek's AI process, trained on tens of millions of data related camera module processes to derive the optimal recipe. Check out the link below! 👉 https://bit.ly/3VphUOy #LGInnotek #LG이노텍 #Innovation #AI #AIProcess #TechnologyDevelopment #CameraModule #Camera #Semiconductor #ProcessRecipe

Apella Devotes AI to Process Improvement in Operating Rooms Artificial Intelligence can exploit fairly simple technologies to create significant efficiencies. For operating rooms, Apella Technology uses four cameras, placed around the walls, to collect data that saves precious time. I recently talked to Davi... https://lnkd.in/eWzWxspa #BioTech #science

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

🤖 AI Revolutionizes Package Inspection! 📦 XRAY-LAB and Ultralytics have teamed up to launch an innovative AI-powered platform that transforms how packages are inspected. Leveraging cutting-edge artificial intelligence and computer vision, this platform enhances accuracy in checking package integrity, counting items, spotting barcode inaccuracies, and ensuring labels are correctly placed. This groundbreaking technology is setting new standards for reliability and efficiency in the packaging industry. 🚀🔍 Credits: FrRonconi/X! Stay tuned by following @metavenger, and get all the updates on the coolest advancements in AI! #technology #artificialintelligence #tech #technologytrends

The Future of Quality Control with AI-Powered Defect Detection Despite potential complications, consumers rarely see the manufacturing process of the products they consume, but they're always able to spot when there is a defect in those products. The reality of modern manufacturing is unexpected errors are repeated more than most recognize, and often, companies are not aware of critical defects in products until it is too late. Manufacturers can eliminate these errors with the proper development of real-time defect detection of both known and unanticipated issues on manufacturing lines. Here we discuss how artificial intelligence solutions can be used for manufacturing defect detection. How AI used in Defect Detection? There are tons of solutions for defect detection in manufacturing using cameras for numerous applications, but AI and image processing go beyond the camera. Image processing assembles all image data into a cloud database where tens can evaluate it to hundreds of machine learning algorithms to pinpoint defects or fluctuations and provide course-correcting measures. Results are analyzed to provide risk assessments of the line's process and the overall program. By the time a product is ready for production, all potential kinks are worked out. Once the product is in production, the AI-powered defect detection process continuously monitors the production line to divert any additional defective products to the correct location to be fixed. #maintainance #AI #laser #innovation #qualitycontrol #technique #machinelearning #surface #vision

What's the secret behind self-driving cars, medical imaging systems, and augmented reality experiences? IMAGE ANNOTATION/DATA ANNOTATION Here are three of the key benefits of image annotation for businesses: 1. Improved accuracy of computer vision models 2. Development of new and innovative products and services. 3. Gaining insights from data. If you are interested in growing your business the right way, visit us at: iSuporta.com #AI #datalabeling #imageannotation #annotation #outsourcing #outsourcingservices #outsourcingsolutions

AI is transforming plastics processing. Discover how automation is addressing labor shortages, optimizing machine uptime, and ensuring product quality. Listen here to what experts have to say about how artificial intelligence will impact plastics processing: https://bit.ly/3XX1NdU #artificialintelligence #AI #automation #plastics #processing Thank you to Jason Ganim, The Conair Group; Suhas Kulkarni, FimmTech; and Derek Moeller, CognitionWorks for talking with us!