ZEISS Group’s Post

#ArtificialIntelligence #ai In the vast and complex world of manufacturing, the advent of Artificial Intelligence (AI) and robotics marks a significant turning point. This revolutionary technology duo is not just enhancing efficiency and productivity; it’s redefining the very essence of manufacturing processes. From the assembly lines of automotive giants to the delicate operations in electronics manufacturing, AI […] https://lnkd.in/gdnddm_g

𝗧𝗵𝗲 𝗠𝗮𝗻𝗽𝗼𝘄𝗲𝗿 𝗼𝗳 𝗧𝗼𝗺𝗼𝗿𝗿𝗼𝘄 𝗪𝗶𝗹𝗹 𝗕𝗲 𝗗𝗿𝗶𝘃𝗲𝗻 𝗕𝘆 𝗢𝘂𝗿 𝗔𝗜 We are proud to introduce BEOMNI™ AI – a revolutionary AI brain that can learn to perform any physical labor, from skilled tasks like those of doctors and nurses to unskilled labor in manufacturing, logistics, construction, hospitality, retail and beyond. Beomni AI is a powerful AI brain that can power humanoid robots and other robotic systems and learns tasks just like the human brain. Our cutting-edge technology allows Beomni AI to transform physical labor by learning tasks over time, first mastering individual tasks and eventually learning entire professions. https://www.beomni.ai

In my recent blog, I explored the profound impact of AI on manufacturing. Today, I'm excited to share a concise yet insightful slider presentation based on those insights. Siemens is at the forefront, harnessing AI for problem-solving and leveling the manufacturing playing field. Our AI-enabled automation systems, such as continuously optimizing robots, are reshaping the industry. Witness the incredible efficiency of AI in action at our Siemens Electronics Factory in Amberg – a staggering 1,400% productivity increase. This is AI-driven machine learning at its best, expanding what's humanly possible. Dive into the presentation for a succinct overview of AI's transformative power in manufacturing. Don't miss the full blog for a deeper exploration of these game-changing technologies: https://lnkd.in/gKEkvzSG #AI #manufacturing #SiemensAI

How to evaluate quality using #AI? Very simple! We’ve recently implemented one for verification of the assembly process in our Showroom 4.0 in Balice. Thanks to 𝐌𝐄𝐋𝐒𝐎𝐅𝐓 𝐌𝐚𝐢𝐋𝐚𝐛 we were able to teach the application correct behavior and recognize incorrect movements. 👉 The first step is to collect data for #MachineLearning. We used data from the industrial robot that is responsible for assembly. We can utilize this device as a sensor with plenty of online information available. 👉 The second step is to teach and configure the algorithm. Here we can try different models and optimize evaluation methods. In this case, we used Autoencoder, one of the types of #NeuralNetwork. 👉 The third step is to run the application in real-time and provide a #FeedbackLoop with a quality score. #QualityControl is one of the most popular areas to use AI in manufacturing these days. It is relatively easy to use and often results in better precision and speed than conventional methods. Even if it does not work fully autonomously, it can work as a useful recommendation system for employees to point out possible defects. #innovation #manufacturing #artificialintelligence

AI is here to stay, and here’s why. Artificial intelligence has transitioned from a futuristic concept to a core component of our everyday lives and business operations. Its impact is profound and far-reaching, driving advancements across industries and reshaping how we approach problem-solving and decision-making. AI offers unparalleled capabilities in data analysis, pattern recognition, and automation. It continuously improves and adapts, making it an essential tool for enhancing efficiency, innovation, and personalization. From smart assistants and predictive analytics to autonomous systems and advanced robotics, AI is embedded in many aspects of modern life. The ongoing development and integration of AI into various sectors demonstrate its growing importance and enduring relevance. It’s not just a trend; it’s a fundamental shift in technology and its role in our world. As we move forward, embracing and leveraging AI will be crucial for staying competitive and driving future progress. #AI #ArtificialIntelligence #TechInnovation #FutureOfWork #DataScience #Automation #MachineLearning #TechnologyTrends #DigitalTransformation

Enhancing Computer Vision AI with HumanintheLoop (HITL) Systems As AI and Computer Vision (CV) technologies advance, their ability to interpret and act on visual data has grown immensely. However, even the best models face challenges like edge cases, false positives, and low confidence results. For AI companies, especially those dealing with critical applications like healthcare, autonomous driving, and security, these challenges can pose significant risks. Enter Human in the Loop (HITL) systems—a solution that combines AI with human expertise to address these shortcomings. HITL platforms enable realtime human review and intervention when models encounter uncertainties or unfamiliar scenarios. This collaborative approach ensures more reliable and accurate results. DataPure - A Customizable Platform to handle low confidence results, false Positives and Edge cases. #Machinevision #ComputerVision

AI has come a long way, and things are going to get more and more interesting as we follow this AI journey. There is going to be positive disruption in most industries. Medicine, Engineering, customer service, etc AI has evolved from Artificial Narrow Intelligence (machines built for Mono-Use e.g self-driving cars) to Artificial General Intelligence (Multi-Use, e.g human-like robot, large data but not self-training), and we will soon get to Artificial Super Intelligence (self-training).

AI is transforming our world! MIT researchers are advancing AI in robotics and various sciences, making complex tasks easier and more efficient. Generative AI is reshaping how we interact with technology, from search engines to office software, making our digital life more creative and efficient. The automotive industry is also embracing AI, enhancing driving safety and experience with smart features and efficient production methods. Stay ahead in this AI-driven time! #AI #TechTrends #Innovation #AutomotiveAI #GenerativeAI

Figure showcases their AI powered humanoid working in a BMW manufacturing plant. The robot can map pixels to actions and self-corrects as well, which makes it different from regular manufacturing machines. Follow AI Avenue for more cutting edge news about artificial intelligence! #ainews #artificialintelligence #technology

Imagine a world in which machines not only perform tasks but can also actively learn and adapt - just like humans and animals! 🤖🚀 In his article ‘A Path Towards Autonomous Machine Intelligence’, Yann LeCun 2022 shed light on how artificial intelligence could learn through observation and intrinsic motivation without relying on constant human guidance. 🔍 Learning inspired by humans and animals could be: World models through observation: machines could learn to understand the world around them through simple observation, much like a child exploring its environment and developing new skills. Hierarchical abstraction: These approaches enable machines to break down complex problems into simpler subtasks, enabling them to plan more effectively and make predictions. Intrinsic motivation: Instead of external rewards, robots and AI systems could be driven by their intrinsic goals, which they explore independently and learn from. 🌐 These developments could revolutionise how we use machines and robots and bring us one step closer to a future in which AI and humans work together in unprecedented harmony. 💭 How far along do you think machines are in this development? #ArtificialIntelligence #FutureOfTechnology #AutonomousMachines