IoT Tech News’ Post

Find out how NVIDIA CEO Jensen Huang unveils the future of industrial automation in a groundbreaking article on IoT Tech News. Ryan Daws, Senior Editor at TechForge Media, delves into Huang's insights on real-time AI driving the next phase of automation. From a simulation-first approach to leveraging digital twins, learn how NVIDIA's cutting-edge platforms are revolutionizing industries with bulky products, expensive equipment, and complex facilities. Explore into the world of 'AI gyms,' where developers train AI agents to navigate unpredictable scenarios, saving time and cost. Read the full article now! #IndustrialAutomation #RealTimeAI #AutomationFuture #SimulationFirst #DigitalTwins #CuttingEdgeTechnology #BulkyProducts #IoT #TechNews #InnovativeTechnology #IndustrialRevolution #AIdevelopment #IndustrialInsights

🌟 Exciting News Alert! 🌟 Dive into the future of semiconductor design with us as we explore "The Next Wave: 5 Exciting Applications of Embedded Domains." 🚀 Here's a sneak peek into what's coming: 1️⃣ IoT Revolution: Embedded domains are paving the way for ultra-efficient Internet of Things devices, enabling seamless connectivity and smart functionality. 2️⃣ Automotive Innovation: Buckle up for safer and smarter rides! Embedded domains are driving advancements in automotive electronics, from advanced driver assistance systems to autonomous vehicles. 3️⃣ Medical Marvels: Say hello to groundbreaking medical devices! Embedded domains are powering life-saving innovations, such as implantable medical sensors and personalized healthcare solutions. 4️⃣ Energy Efficiency: Get ready to go green! Embedded domains are optimizing semiconductor design for energy-efficient applications, from smart grids to renewable energy systems. 5️⃣ AI Acceleration: Brace yourself for the AI revolution! Embedded domains are supercharging artificial intelligence capabilities, fueling advancements in machine learning, computer vision, and natural language processing. Join us on this exhilarating journey into the future of semiconductor design! 💡 #EmbeddedDomains #SemiconductorInnovation #FutureTech #SmartSoC

Imagine an in-house assistant that complements everything you do at home: cooking, cleaning, convenience… This was the promised field with the evolution of IoT and AI where smart home meets smart living, whether it is by merging smart mobility or a third place! With evolving AGI, we can be certain, this is coming! #IoT #AI #AGI https://lnkd.in/gYvHgbEf

Advantech proudly unveils the AIR-150, a palm-sized Edge AI inference system powered by 13th Gen Intel® Core™ Mobile processors and the Hailo-8 AI accelerator. Delivering 26 TOPS of AI computing power, it surpasses the NVIDIA Jetson Orin Nano and Xavier NX in AI capability, offering higher throughput and lower latency. This makes it perfect for applications such as autonomous mobile robots, baggage screening, defect inspection, and workforce safety monitoring. Despite its small footprint, the AIR-150 excels in connectivity, offering application-centric I/Os including COM, USB, LAN, and M.2 E-Key for seamless expansion and connectivity. To address development challenges, the AIR-150 includes the Advantech Edge AI SDK for quick deployment, the Dataflow Compiler for fast AI model conversion, and TAPPAS, which provides pre-trained examples for rapid AI application development. Level up your edge AI applications with the AIR-150! https://lnkd.in/ghmdQuyz   #Advantech #ai #iot #Hailo #EdgeAI #Hailo8 #EdgeAISDK #AMR #defectinspection 

For simulation to be viable for robotics, especially for creating AI-generated robot behavior, it is critical that robot behaviors created in simulation can be seamlessly translated to the real world AND the data from the real world can get back to that simulation! This allows for closed-loop learning of robot behaviors in simulation, using information about how the system actually performs. In this latest video, we show how READY Robotics' ForgeOS and NVIDIA Omniverse can provide this closed loop, by enabling robot programming in simulation, seamless transfer to the real world, and providing a path for data to be sent back to simulation. For modern AI algorithms to perform correctly, they need data not just of the robot's movements, but everything that the robot interacts with in its environment. This is why ForgeOS not only sends robot motion back to Omniverse but also the state of all of the tooling, as shown by the tool changer's behavior being accurately represented when mirroring the real system. ForgeOS is also able to surface sensor data, machine state, object locations, and more from the real system back to Omniverse. The ability to exfiltrate the traditionally siloed data in a robotic cell in the factory is something that ForgeOS does out of the box, without any additional IoT devices, and it ties directly back to NVIDIA's Isaac Sim. #ai #ml #manufacturing #robotics #automation #futureofwork

READY's ForgeOS + NVIDIA's Omniverse = seamless feedback loop between the digital and physical worlds. You can not only program a digital twin in Omniverse with ForgeOS, but pull data from the physical system and feed it back into the digital twin to improve the fidelity of the simulation.

Exploring the Future of Computing: Neuromorphic Computing 🌐✨ Neuromorphic computing is a groundbreaking technology inspired by the human brain 🧠. It aims to replicate neural structures and functions using specialized hardware, revolutionizing how we approach computing. Key Features of Neuromorphic Computing: 1. Brain-Inspired Architecture 🧩: Neuromorphic chips mimic neurons and synapses, enabling parallel and energy-efficient information processing. 2. Low Power Consumption ⚡: These systems perform complex computations with minimal energy, making them ideal for IoT, robotics, and edge computing. 3. Innovations and Applications 🚀: Companies like IBM and Intel are leading the charge with chips like TrueNorth and Loihi, exploring applications in autonomous vehicles, smart sensors, and real-time decision-making. 4. Learning and Adaptation 🌱: Neuromorphic systems can learn and adapt, paving the way for advancements in AI and real-time processing. Why It Matters: Neuromorphic computing offers a new paradigm in creating intelligent systems, enabling more efficient and complex task handling. As we push the boundaries of AI and machine learning, this technology could be a cornerstone of future innovations. #NeuromorphicComputing #AI #Innovation #FutureTech #MachineLearning #EnergyEfficiency

🚀 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗧𝗲𝗰𝗵 𝗶𝘀 𝗛𝗲𝗿𝗲! 🌍 The Global Computer Vision Market is set to skyrocket 📈, growing from $14.1 billion in 2023 to $47.6 billion by 2030! With a CAGR of 19%, advancements in AI, machine learning, and automation are driving innovations across industries like automotive, healthcare, retail, and manufacturing. 𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝗢𝘂𝗿 𝗙𝗿𝗲𝗲 𝗦𝗮𝗺𝗽𝗹𝗲 𝗥𝗲𝗽𝗼𝗿𝘁 @ https://lnkd.in/dbCB4GdQ 🔑 𝗞𝗲𝘆 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀: AI-powered computer vision is transforming autonomous vehicles 🚗 and medical imaging 🏥. The automotive sector leads with 20% of market revenue. Healthcare applications expected to grow by 9% annually. Asia-Pacific will dominate the market by 2026 🌏. 🌟 The future of automation, safety, and efficiency is brighter than ever! 𝗥𝗲𝗮𝗱 𝗠𝗼𝗿𝗲 - https://lnkd.in/d6tqMrEA 𝗞𝗲𝘆 𝗣𝗹𝗮𝘆𝗲𝗿𝘀: KEYENCE CORPORATION Matterport Baumer Cognex Corporation Basler AG Teledyne Technologies Incorporated Sony Electronics | Healthcare Solutions (US & Canada) Google Qualcomm AMD Basler AG Alphabet Inc. IBM Intel Corporation Amazon Groq Hailo NVIDIA Cogniac Corporation Matroid, Inc. TechSee alwaysAI #ComputerVision #AI #Automation #TechTrends #SmartTech #Innovation #FutureTech #AutonomousVehicles #HealthcareTech #IoT #AIRevolution

🚀 𝐒𝐢𝐅𝐢𝐯𝐞'𝐬 𝐁𝐫𝐞𝐚𝐤𝐭𝐡𝐫𝐨𝐮𝐠𝐡: 𝐄𝐧𝐞𝐫𝐠𝐲-𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐀𝐈 𝐂𝐨𝐫𝐞𝐬 𝐟𝐨𝐫 𝐈𝐨𝐓 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐂𝐞𝐧𝐭𝐞𝐫𝐬 🚀 SiFive, a leader in RISC-V processor cores, has taken a bold step into the booming world of AI by unveiling their 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐗𝐌 clusters. These are the first RISC-V-based AI solutions equipped with scalable matrix engines, designed to handle intensive AI workloads. Why does this matter? 💡 These new designs are tailored for autonomous vehicles, robotics, drones, IoT, and edge computing—all areas where AI demand is rapidly growing, and energy efficiency is critical. SiFive's XM cores boast: - Up to 64 TFLOPS of performance in BF16 mode - An impressive 8 TB/s memory bandwidth - Scalability up to 512 XM blocks, which can reach 4 PFLOPS of processing power Plus, these cores aren't limited to RISC-V; they can be paired with ARM or x86 host cores or operate independently. By bringing open-source, energy-efficient AI processing to diverse industries, SiFive is positioning itself as a key player in the next generation of custom AI systems. Major tech giants like Alphabet Inc., Amazon, Apple, 𝐚𝐧𝐝 NVIDIA are already onboard. #AI #RISC-V #IoT #DataCenters #EdgeComputing #SiFive #Innovation #Amazon #Apple

What is Edge Computing and Why It's a Game-Changer? Edge computing is transforming how we process data by bringing computation closer to the source—right where data is generated. Instead of sending everything to centralized data centres, edge computing handles data processing locally. Here's why it matters: Key Benefits: Reduced Latency: Real-time data processing is crucial for autonomous vehicles, AR/VR, and industrial automation. Bandwidth Efficiency: Less data sent over networks means lower costs and less congestion. Enhanced Security: Local processing means better data privacy and security. Improved Reliability: Critical services remain operational even if the central server is down. Real-World Impact: Autonomous Vehicles: Process data instantly for split-second decisions. Smart Cities: Real-time traffic and public safety management. Healthcare: Immediate analysis from wearables and monitoring devices. Manufacturing: Optimize production and maintenance with real-time data. With 5G on the rise, edge computing's potential is set to skyrocket, driving innovation across industries. For more in-depth insights on edge computing, you can check out these resources: