What’s the future of electronics engineering in an AI-driven world?💡 In his latest blog, Mirko Vermezović, Principal Electronics Architect at Zühlke Serbia, dives into this fascinating topic. 👉 https://lnkd.in/dKF-3nDM AI isn’t just automating processes—it’s reshaping workflows, opening doors to entirely new career paths, and redefining the skills engineers need. Mirko shares insights on: 🔹 How AI is enabling engineers to focus on creativity and problem-solving 🔹 Why continuous learning is critical in this AI-driven era 🔹 What future opportunities lie ahead for electronics professionals Whether you’re an experienced engineer or just starting out, this blog offers valuable tips for staying ahead in a rapidly evolving industry. #ElectronicsEngineering #AI #Innovation #CareerDevelopment
Zühlke Group’s Post
More Relevant Posts
-
Artificial intelligence (AI) is used in many industrial settings to improve productivity, decision-making, and innovation. AI in industry is different from general AI because it's designed to automate and optimize complex industrial processes. It's also known as industrial AI. -------------- Accelerate Industrial Engineering with AI🚀 Learn the future of engineering with cutting-edge courses designed for Industry 4.0 and AI-driven technologies. 🔗Link in Bio @industryx.ai or Visit IndustryX.ai Keep Following IndustryX.ai for more Industrial Engineering✨ . . . #mechanicalengineering #engineering #engineers #electricalengineering #smartmanufacturing #industrialengineering #engineeringstudents #manufacturing #electricalengineer #industry40 #engineeringstudent #engineeringdesign #engineeringtech #engineeringproblems
To view or add a comment, sign in
-
Looking forward to see you in our live session. Join us live to explore the Future of Industrial Automation with AI, diving into how Machine Learning and Deep Learning reshape manufacturing operations, enhancing efficiency and redefining Industrial Machinery capabilities. Industry Leaders Shin Horng Chong, Dr. BalaKrishna Pamulaparthy, PhD, Mayukha Pal, Ph.D., Kishore Ravi will share key insights and use cases that you wouldn't want to miss! #AI #MachineLearning #DeepLearning #IndustrialAutomation #PredictiveMaintenance #visualInspection #matlabforindustrialautomation
To view or add a comment, sign in
-
Join us live to explore the Future of Industrial Automation with AI, diving into how Machine Learning and Deep Learning reshape manufacturing operations, enhancing efficiency and redefining Industrial Machinery capabilities. Industry Leaders Shin Horng Chong, Dr. BalaKrishna Pamulaparthy, PhD, Mayukha Pal, Ph.D., Kishore Ravi will share key insights and use cases that you wouldn't want to miss! #AI #MachineLearning #DeepLearning #IndustrialAutomation #PredictiveMaintenance #visualInspection #matlabforindustrialautomation
To view or add a comment, sign in
-
Join us live to explore the Future of Industrial Automation with AI, diving into how Machine Learning and Deep Learning reshape manufacturing operations, enhancing efficiency and redefining Industrial Machinery capabilities. Industry Leaders Shin Horng Chong, Dr. BalaKrishna Pamulaparthy, PhD, Mayukha Pal, Ph.D., Kishore Ravi will share key insights and use cases that you wouldn't want to miss! #AI #MachineLearning #DeepLearning #IndustrialAutomation #PredictiveMaintenance #visualInspection #matlabforindustrialautomation
To view or add a comment, sign in
-
Join us live to explore the Future of Industrial Automation with AI, diving into how Machine Learning and Deep Learning reshape manufacturing operations, enhancing efficiency and redefining Industrial Machinery capabilities. Industry Leaders Shin Horng Chong, Dr. BalaKrishna Pamulaparthy, PhD, Mayukha Pal, Ph.D., Kishore Ravi will share key insights and use cases that you wouldn't want to miss! #AI #MachineLearning #DeepLearning #IndustrialAutomation #PredictiveMaintenance #visualInspection #matlabforindustrialautomation
To view or add a comment, sign in
-
AI Revolutionizes Materials Discovery: Google DeepMind's GNoME and Berkeley Lab's A-Lab 🔬🚀 #MIT #Technology #Review has published a fascinating article on how Google DeepMind's new AI tool, GNoME, is accelerating the discovery of new materials. 🌟 This groundbreaking technology has already predicted structures for 2.2 million new materials, with over 700 created in the lab and undergoing testing. 🧪 💡 GNoME combines two deep-learning models to generate potential new materials, significantly reducing research time compared to traditional methods. It predicts the stability of candidate structures, identifying the most promising materials for further evaluation. 🤖 Alongside GNoME, Lawrence Berkeley National Laboratory's A-Lab autonomously synthesizes new materials using robotics and machine learning, achieving up to two successful syntheses per day. This integration of AI and automation is a game-changer in materials science. 📈 The newly discovered materials have wide-ranging applications, from more efficient lithium-ion battery conductors to innovative computer chips and electronics. These advancements could accelerate hardware innovation and help address critical challenges like the climate crisis. 🔋 One exciting use case for these AI-discovered materials is in the #electric vehicle (#EV) sector. GNoME has already identified 528 promising lithium-ion conductors, which could lead to the development of more efficient and longer-lasting EV batteries. This breakthrough could significantly accelerate the adoption of EVs and contribute to a more sustainable future. 🌍 While commercialization may take time, the collaborative efforts of Google DeepMind and Berkeley Lab demonstrate the transformative power of AI in accelerating scientific discovery and innovation. Read the full article on MIT Technology Review to learn more about this exciting development in materials science! 🔗 https://lnkd.in/gzUVWMDU #MaterialsScience #AI #Innovation #Sustainability #ElectricVehicles
To view or add a comment, sign in
-
Join us live to explore the Future of Industrial Automation with AI, diving into how Machine Learning and Deep Learning reshape manufacturing operations, enhancing efficiency and redefining Industrial Machinery capabilities. Industry Leaders Shin Horng Chong, Dr. BalaKrishna Pamulaparthy, PhD, Mayukha Pal, Ph.D., Kishore Ravi will share key insights and use cases that you wouldn't want to miss! #AI #MachineLearning #DeepLearning #IndustrialAutomation #PredictiveMaintenance #visualInspection #matlabforindustrialautomation
To view or add a comment, sign in
-
Join us live to explore the Future of Industrial Automation with AI, diving into how Machine Learning and Deep Learning reshape manufacturing operations, enhancing efficiency and redefining Industrial Machinery capabilities. Industry Leaders Shin Horng Chong, Dr. BalaKrishna Pamulaparthy, PhD, Mayukha Pal, Ph.D., Kishore Ravi will share key insights and use cases that you wouldn't want to miss! #AI #MachineLearning #DeepLearning #IndustrialAutomation #PredictiveMaintenance #visualInspection #matlabforindustrialautomation
To view or add a comment, sign in
-
Join us live to explore the Future of Industrial Automation with AI, diving into how Machine Learning and Deep Learning reshape manufacturing operations, enhancing efficiency and redefining Industrial Machinery capabilities. Industry Leaders Shin Horng Chong, Dr. BalaKrishna Pamulaparthy, PhD, Mayukha Pal, Ph.D., Kishore Ravi will share key insights and use cases that you wouldn't want to miss! #AI #MachineLearning #DeepLearning #IndustrialAutomation #PredictiveMaintenance #visualInspection #matlabforindustrialautomation
To view or add a comment, sign in
-
#Topics Maximising the impact of our breakthroughs [ad_1] Applying our AI research to help enrich the lives of billions of people around the worldBuilding useful products with new technologies has always been one of my greatest joys. As a boy, I’d spend hours connecting resistors, capacitors, and other electronic components with wires. First I’d assemble a Morse code circuit. Then dissemble the circuit, reusing its wires and components to build a timer. And then take the timer apart and build an amplifier. Analog electronic components provided the perfect toolkit for young minds, like mine, to build and create. Soon I was designing processing chips at my first summer job at Marconi, the telecoms giant. And this led to studying electronics and software at university, where, on lab days, we’d build circuit boards for radio receivers. Now, we have pocket-sized computers and colossal data centres – all connected by light-speed communications – running powerful software for the benefit of businesses, communities, and consumers across the globe. But it’s artificial intelligence (AI) that holds the greatest potential for humanity. This technology learns and iterates, with an ability to solve problems at every turn. When combined with human ingenuity and direction, AI could di...
To view or add a comment, sign in