Industrial Shields®’s Post

Spintronics: The Future of Ultra-Low-Power AI Chips What if the heat your chip throws off wasn’t wasted, but turned back into usable energy? That’s exactly what Ultra-Low-Power AI Chips are doing, thanks to spintronics. ♻️ Here’s the magic ♻️ Instead of losing energy when electrons lose their spin orientation, spintronic chips capture that loss and recycle it. The result? ↳ Up to 3× higher efficiency compared to today’s AI hardware. Why it matters: ➡️ Longer battery life Wearables, IoT, and edge devices that last dramatically longer without bigger batteries. ➡️ Cooler, cheaper data centers Less wasted energy means lower cooling costs—and serious savings on power bills. ➡️ More reliable systems Cooler chips = longer lifespans for automotive, industrial, and biomedical electronics. ➡️ Scalable + sustainable Spintronics can be integrated with existing manufacturing processes, making adoption realistic and greener. Who’s driving it: ✳️ KIST, DGIST & Yonsei University, leading breakthroughs in spin-energy recovery ✳️ Global chipmakers, exploring spintronics for next-gen AI accelerators & memory ✳️ European labs, building spin-wave networks for future neuromorphic systems Where it’s headed: 🔹 Data centers slashing megawatts of energy waste 🔹 Smart cities powered by self-sustaining sensors 🔹 Automakers embedding AI without today’s heat & reliability tradeoffs The big shift? Spintronics is turning waste into power. And with it, Ultra-Low-Power AI Chips could redefine how we build everything from smartphones to supercomputers. 💭 How soon do you think we'll see ‘self-powering’ chips become the standard in consumer devices? #Spintronics #Semiconductors #AIChips #SupplyChain #Sourcing

🚀Day 4 of Future AI Trends 🔹 Title: Digital Twins: Mirroring Reality in Engineering 💡 Definition: A digital twin is a virtual representation of a physical asset or process, mirroring its real-world behavior. 📖 Summary: Digital twins connect sensor data with advanced analytics to provide a dynamic simulation of an object or system. This allows engineers and manufacturers to monitor performance, predict failures, and optimize operations in real time. ⚙️ Key Points: • Enabled by IoT sensors and data analysis. • Provide a comprehensive understanding of asset performance. • Facilitate design improvements and process optimization. 🔮 Future Impact: Digital twins will revolutionize engineering and manufacturing by enabling predictive maintenance, personalized product development, and fully automated production lines. 🚀 Applications: • Predictive maintenance in machinery and equipment. • Simulation of complex manufacturing processes. • Design optimization and virtual prototyping.

🔧📡 AI meets manufacturing: Discover how Antenna‑I is bringing real-time, AI-powered quality control to sensor production—without the need for costly testing labs. Developed by Correlation Systems under the AI REDGIO 5.0 framework, Antenna‑I uses low-cost ESP32 receivers and two edge AI models to check RF performance during assembly—delivering >90% accuracy, all for under €150. ✅ No cameras ✅ No manual checks ✅ Results in <5 minutes A game-changer for small and mid-size manufacturers looking to scale quality and reduce returns. 🔗https://lnkd.in/gnyHEMC6 #AI #Manufacturing #IoT #EdgeComputing #QualityControl #Industry5_0 #AIREDGIO

At Nemilink Technologies, we are shaping the future of intelligent systems by bringing together Edge AI, AIoT, Embedded Product Development, and Mechatronics to create next-generation solutions. What We Do Edge AI – Building intelligent systems that process data closer to the source for real-time decisions. AIoT (Artificial Intelligence of Things) – Empowering connected devices with intelligence to make smarter ecosystems. Embedded Product Development – End-to-end design and development of high-performance embedded solutions. Mechatronics – Integrating mechanics, electronics, and computing to deliver advanced, automated systems. Our Mission To innovate at the intersection of hardware and intelligence, enabling industries to move from connected to truly autonomous and adaptive systems. Why Nemilink? ✅ Expertise in design-to-deployment embedded solutions ✅ Strong focus on innovation and R&D ✅ Bridging AI, IoT, and engineering disciplines ✅ Driving smart manufacturing, healthcare, mobility, and industrial automation At Nemilink, we believe the future is intelligent, connected, and adaptive—and we are building it today.

A controller is a device that manages, regulates, and directs the functioning of a system or machine, making it one of the most important parts of modern technology. It works by taking input signals, processing them, and giving the right output to maintain accuracy, safety, and efficiency. There are different types of controllers, such as simple On–Off controllers used in devices like thermostats, PID controllers used in industries for precise control of processes like temperature, speed, and pressure, and advanced digital controllers like microcontrollers and programmable logic controllers (PLCs) that can perform multiple tasks in automation and embedded systems. Controllers are widely applied in many areas—washing machines, refrigerators, and air conditioners in homes; automobiles for engine management, braking systems, and safety features; industrial automation for running machines, robots, and production lines; medical equipment such as life-support systems and diagnostic tools; and even in renewable energy systems like solar panels and wind turbines for efficient power control. Their advantages include improved accuracy, reduced human effort, higher efficiency, and the ability to provide automation with safety. However, controllers also face challenges such as the need for skilled design and the risk of failure that can affect the whole system. With modern advancements like Artificial Intelligence (AI) and the Internet of Things (IoT), controllers are becoming smarter, capable of learning from data, adapting to conditions, and communicating with other devices. Overall, controllers act as the “brain” of machines, making them essential for industries, technology, and everyday life, and their importance will continue to grow in the future. #snsinstitution #snsdesignthinkers #snsdesignthinking

AI is revolutionizing Planning, Scheduling, and Shopfloor Visibility in the manufacturing sector. Even a 250-500-machine apparel factory can leverage this transformative technology through the following approaches: - Utilizing AI Demand Forecasting Tools to synchronize production with customer demand. - Implementing Manufacturing Execution Systems (MES) integrated with AI Modules for instantaneous operational insights. - Deploying AI Quality Control Systems equipped with cost-effective computer vision setups for identifying defects. - Adopting Predictive Maintenance Applications incorporating budget-friendly IoT sensors on essential machinery. By embracing these AI-driven solutions, smaller factories can experience significant efficiency enhancements of 10–20% and minimize rework, showcasing the tangible benefits of integrating artificial intelligence into manufacturing processes. 👍 Do you wish to upgrade the knowledge or use the above concepts & technologies for your organization :Mail to sunilarora.india@gmail.com , with your profile details.

𝖠 𝖢𝗈𝗆𝗉𝗅𝖾𝗍𝖾 𝖦𝗎𝗂𝖽𝖾 𝗈𝖿 𝐈𝐨𝐓 𝐢𝐧 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 [ 𝖯𝖣𝖥 𝖦𝗎𝗂𝖽𝖾 ]   ➡ 𝐂𝐥𝐢𝐜𝐤 𝐡𝐞𝐫𝐞 𝐟𝐨𝐫 𝐏𝐃𝐅 >> https://lnkd.in/dVuAvi78 The industrial sector is concentrating on automation, machine learning, and real-time data processing to automate the manufacturing industries. Considering the significance of automated industrialization, organizations are planning and implementing Industry 4.0 to transform their traditional manufacturing industry into a smart one by adopting new and advanced technologies, including IoT, artificial intelligence, robotics, cloud technology, and analytics. The deployment of advanced technologies for better connectivity and higher output, and utilization of resources help organizations achieve higher efficiency in the manufacturing sector. This is transforming nations, production systems, and how goods & services are delivered to markets. This wave of transformation has important implications for industrial development, skills requirement, global value chains, and countries' efforts to effectively attract investment in Industry 4.0. Governments worldwide are encouraging the adoption of disruptive technologies across different sectors to promote industrial automation. 𝐛𝐲 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧     ·      Surveillance & Safety ·      Quality Management ·      Resource Optimization ·      Inventory & Warehouse Management ·      Machine Inspection & Maintenance ·      Production Planning ·      Energy Management ·      Smart Robotics                   𝐃𝐫𝐢𝐯𝐞𝐫𝐬 ·      Rising Demand for Industrial Automation in Manufacturing ·      Growing Investments toward Industry 4.0 ·      Growing Need to Improve Productivity and Efficiency #IoT #IndustrialIoT #SmartManufacturing #IIoT #ConnectedFactory #Industry40 #PredictiveMaintenance #Automation #DigitalTwin #SmartSensors #EdgeComputing #MachineMonitoring #DataAnalytics #ManufacturingInnovation #IoTinManufacturing

𝗘𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗔𝗜 𝗖𝗵𝗶𝗽𝘀 & 𝗧𝗵𝗲𝗶𝗿 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 🧠 AI is moving from the cloud to the device! Embedded AI chips are the silent heroes, driving intelligence with power efficiency and real-time processing in everything from smart factories to wearables. Understanding these chips means seeing beyond their cores – it's about their vital interaction with a rich peripheral ecosystem. Think of the AI chip as the central command, orchestrating senses and actions. 𝗜𝗻𝘀𝗶𝗱𝗲 𝘁𝗵𝗲 𝗘𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗔𝗜 𝗖𝗵𝗶𝗽: 𝗖𝗣𝗨 𝗖𝗼𝗿𝗲 & 𝗔𝗜 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗼𝗿: The brains for general control and high-speed AI computations. 𝗠𝗲𝗺𝗼𝗿𝘆 𝗦𝘂𝗯𝘀𝘆𝘀𝘁𝗲𝗺 (𝗖𝗮𝗰𝗵𝗲): For rapid data access. 𝗗𝗠𝗔 𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗿: For efficient data transfers. 𝗣𝗼𝘄𝗲𝗿 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗨𝗻𝗶𝘁: For optimal energy use. 𝗞𝗲𝘆 𝗣𝗲𝗿𝗶𝗽𝗵𝗲𝗿𝗮𝗹𝘀 (𝗧𝗵𝗲 𝗦𝗲𝗻𝘀𝗲𝘀 & 𝗔𝗰𝘁𝗶𝗼𝗻𝘀): 𝗦𝗲𝗻𝘀𝗼𝗿 𝗣𝗲𝗿𝗶𝗽𝗵𝗲𝗿𝗮𝗹𝘀: (Camera, Mic, IMUs) – Capturing raw environmental data. 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗲𝗿𝗶𝗽𝗵𝗲𝗿𝗮𝗹𝘀: (Wi-Fi, Cellular) – For connectivity and data exchange. 𝗔𝗰𝘁𝘂𝗮𝘁𝗼𝗿/𝗢𝘂𝘁𝗽𝘂𝘁 𝗣𝗲𝗿𝗶𝗽𝗵𝗲𝗿𝗮𝗹𝘀: (Display, Motors) – Translating AI decisions into action. 𝗘𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗠𝗲𝗺𝗼𝗿𝘆 (𝗗𝗥𝗔𝗠): For larger models and datasets. 𝗛𝗼𝘄 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗙𝗹𝗼𝘄𝘀: 𝗗𝗮𝘁𝗮 𝗔𝗰𝗾𝘂𝗶𝘀𝗶𝘁𝗶𝗼𝗻: Sensors capture data. 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗜𝗻𝗴𝗿𝗲𝘀𝘀: DMA transfers data quickly to the AI chip's memory. 𝗔𝗜 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲: The AI Accelerator processes data using trained models. 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 & 𝗔𝗰𝘁𝗶𝗼𝗻: CPU makes decisions, driving output peripherals or communication. 𝗣𝗼𝘄𝗲𝗿 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: PMU ensures everything runs efficiently. This intricate dance between chip and peripherals is key to effective, intelligent edge devices. What are your insights on optimizing this interaction? #EmbeddedAI #AIchips #EdgeAI #SystemOnChip #HardwareAcceleration #MachineLearning #TechInnovation #IoT #Bengaluru

𝐅𝐚𝐜𝐭𝐨𝐫𝐲 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: 𝐏𝐨𝐰𝐞𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐒𝐦𝐚𝐫𝐭 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 - IndustryARC™ Factory Automation Market size is forecast to reach $233.5 Billion by 2030, after growing at a CAGR of 3.3% during 2024-2030. 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐚𝐦𝐩𝐥𝐞 @ https://lnkd.in/gcD7vdNS #Factory #automation #implies to a set of #technologies & #automatic control devices that enhance the productivity & quality of products and simultaneously decrease the production cost. Also known as industrial automation, it minimizes human intervention in the industry and ensures superior performance as compared to humans. It comprises the use of computers, robots, control systems, and information technologies to handle industrial processes.   The development of hashtag#5G wireless technology and the adoption of industry 4.0 drive the demand for factory automation solutions in a variety of industries, including fiber & textiles, infrastructure, plastics, pharmaceuticals, and others. #Digitalization, industrial IoT, and digital #twin expansion are anticipated to be the key trends in the factory #automation industry. The Internet of Things (IoT) is essential to automation technology as it facilitates the development of efficient, cost-efficient, and responsive system architectures. 𝐆𝐞𝐭 𝐭𝐡𝐞 𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭 @ https://lnkd.in/g7bt7Mp6   Industrial IoT solutions such as factory #robotics and #automated #manufacturing #equipment use sophisticated analytics, edge computing, cloud computing, artificial intelligence (AI), and #machine learning to evaluate machine data and gain insightful knowledge that can be used to maximize asset availability and productivity. For instance, IndustrialEdge, MindSphere, and Mendix from #Siemens are industrial #IoT solutions that deliver insights from industrial data using cutting-edge technologies such as #AI, edge computing, cloud, and advanced analytics.   𝐓𝐨𝐩 𝐋𝐞𝐚𝐝𝐢𝐧𝐠 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬 𝐚𝐫𝐞: ITC Infotech | Avago Technologies | Banner Engineering | Mitsubishi Electric | Data Glove Inc. - Part of Persistent Systems | Optex | KEYENCE CORPORATION | IMI Norgren | Pepperl+Fuchs Group | E80 Group | HollySys Automation Technologies | Dobot Robotics #FactoryAutomation #Industry40 #SmartManufacturing #AI #IoT #Robotics #Automation #IndustrialIoT #DigitalTransformation #SmartFactories

🚀 Prototype Digital Twin: Bridging the Physical & Digital Worlds In today’s fast-paced product development cycles, prototyping isn’t just about building a physical model—it’s about creating a Digital Twin that evolves alongside it. A Digital Twin is a virtual replica of a physical prototype, allowing engineers and stakeholders to: ✅ Visualize design in real-time ✅ Simulate performance before physical build ✅ Identify issues early, reducing cost & time ✅ Enable data-driven decision-making At JK SemiTech, we integrate sensor-based hardware with advanced modeling to create prototypes that “think” before they’re built. By linking embedded systems with cloud-based analytics, our digital twins help transform ideas into optimized, production-ready solutions. 💡 Imagine testing a prototype under multiple scenarios—without touching the actual hardware. That’s the power of a well-designed Digital Twin. Applications: 🔹 Smart manufacturing equipment 🔹 IoT-enabled consumer devices 🔹 Energy and environmental monitoring systems 🌐 Let’s redefine prototyping—smarter, faster, and more connected. #DigitalTwin #Prototyping #EmbeddedSystems #IoT #Innovation #JKSemiTech #Industry40