Qualcomm powers edge AI with Compex Wi-Fi 7

Edge AI is evolving fast — and it’s exciting to see ASUS IoT leading the charge. ASUS IoT’s latest insights into Edge AI 2.0 highlight exactly where the industry is heading: bringing Gen AI capabilities directly to the edge for real-time intelligence, lower latency, enhanced privacy, and faster decision-making. With NVIDIA® Jetson Orin™ powering today’s edge deployments — and the next-generation NVIDIA® Jetson Thor™ arriving in the upcoming ASUS IoT PE3000N — we’re now seeing advanced use cases move from concept to reality. From humanoid robotics and AMR/AGV systems in automated factories to VLM-driven smart city safety, the future of AIoT is happening right now. Great to see our technology partner ASUS IoT pushing innovation forward and enabling the next wave of intelligent edge solutions. 🔗 Read the full blog from ASUS IoT: https://lnkd.in/gkqdZJ6U #EdgeAI #EdgeAI20 #GenAI #LLM #VLM #SLM #JetsonOrin #JetsonThor

Edge AI 2.0 is here—and it’s bringing Gen AI to life where it matters most: at the edge. With foundation VLMs and efficient SLMs, edge devices can now understand natural-language queries, detect events, and make real-time decisions locally—unlocking lower latency, improved privacy, and faster time-to-action for AIoT. In our latest blog, explore how ASUS IoT Edge AI computers powered by NVIDIA® Jetson Orin™—and the next wave with NVIDIA® Jetson Thor™ in the ASUS IoT PE3000N—accelerate real-world deployments, from humanoid robotics and AMR/AGV in smart factories to VLM-powered smart city safety. Read more: https://lnkd.in/gvK3cXXZ #EdgeAI #EdgeAI2_0 #GenAI #LLM #VLM #SLM #JetsonOrin #JetsonThor

Building a CCTV analytics pipeline with NVIDIA TAO PeopleNet + DeepStream + a tracker is a strong industry pattern. Great for real-time “person” and …use cases ⚙️ But expect real engineering work: model configs, stream stability, TensorRT engine builds, tracker tuning, and edge performance tuning. Fun + painful + worth it 😜 Next step: integrating YOLOX for additional object detection 🙏 Hopefully I can put all pieces together into a real industrial application. Openclaw and Agent will be another topic on top of it for IoT control and business applications🥰 #NVIDIA #DeepStream #TAO #PeopleNet #ComputerVision #VideoAnalytics #EdgeAI #CCTV #TensorRT #RTSP #ObjectDetection #IndustrialAI

If living, continuously sensed digital twin systems seem futuristic to you, here is an additional piece of technology that can be threaded together with other technologies to make those solutions a reality. 6G + ISAC. Was reading a white paper which postulated that future mobile networks (especially 6G) could evolve beyond communication to become powerful environmental and movement sensors. So, rather than just transmitting data for phones, these networks may detect objects and motion, similarly to radar systems, by analyzing subtle changes in the radio signals they constantly emit. So, what is ISAC mentioned at the beginning of the post? ISAC stands for Integrated Sensing and Communications and is essentially a new paradigm that uses mobile signals for dual purposes: communication and sensing. This works by interpreting distortions in radio waves caused by people, vehicles, or objects. With some familiarity with telecom networks, you should be aware that 6G networks(around and beyond ~100 GHz) will have much wider bandwidths than current 4G/5G, enabling high-resolution detection of movement and spatial features. Hence, leveraging them together allows real-time movement tracking by allowing us to build networks that could sense people, cars, or drones without special sensors. This operates somewhat like radar but uses existing cellular infrastructure. Imagine a future where mobile networks don’t just connect people but also sense and map their environment in real time, potentially transforming transportation, urban analytics, and smart-city technologies, but also prompting important discussions on privacy and governance. Today's digital twins rely on explicit sensors: cameras, LiDAR, GPS, and IoT devices. Keeping the expense aspect aside, these sensors are not only sparse but also siloed. Then there is the challenge of updates happening in bursts or with delays. With 6G sensing, the network itself becomes the sensor. Every base station contributes movement, location, and interaction data. There is no need to deploy millions of new devices. Beautiful! Isn't it? #AI #ArtificialIntelligence #Tech #Technology #IoT #6G #Telecom #Innovation

If living, continuously sensed digital twin systems seem futuristic to you, here is an additional piece of technology that can be threaded together with other technologies to make those solutions a reality. 6G + ISAC. Was reading a white paper which postulated that future mobile networks (especially 6G) could evolve beyond communication to become powerful environmental and movement sensors. So, rather than just transmitting data for phones, these networks may detect objects and motion, similarly to radar systems, by analyzing subtle changes in the radio signals they constantly emit. So, what is ISAC mentioned at the beginning of the post? ISAC stands for Integrated Sensing and Communications and is essentially a new paradigm that uses mobile signals for dual purposes: communication and sensing. This works by interpreting distortions in radio waves caused by people, vehicles, or objects. With some familiarity with telecom networks, you should be aware that 6G networks(around and beyond ~100 GHz) will have much wider bandwidths than current 4G/5G, enabling high-resolution detection of movement and spatial features. Hence, leveraging them together allows real-time movement tracking by allowing us to build networks that could sense people, cars, or drones without special sensors. This operates somewhat like radar but uses existing cellular infrastructure. Imagine a future where mobile networks don’t just connect people but also sense and map their environment in real time, potentially transforming transportation, urban analytics, and smart-city technologies, but also prompting important discussions on privacy and governance. Today's digital twins rely on explicit sensors: cameras, LiDAR, GPS, and IoT devices. Keeping the expense aspect aside, these sensors are not only sparse but also siloed. Then there is the challenge of updates happening in bursts or with delays. With 6G sensing, the network itself becomes the sensor. Every base station contributes movement, location, and interaction data. There is no need to deploy millions of new devices. Beautiful! Isn't it? #AI #ArtificialIntelligence #Tech #Technology #IoT #6G #Telecom #Innovation

Global Semiconductor Sales Poised to Surpass US$1 Trillion in 2026, Fueled by AI and Next-Gen Technologies. Global semiconductor sales are projected to reach US$1 trillion this year, driven by accelerating demand from AI, IoT, 6G, and autonomous driving technologies. According to the US Semiconductor Industry Association, the industry hit a record US$791.7 billion in 2025, led by strong growth in logic and memory chips and robust expansion across Asia-Pacific, the US, and China. #TheSource #ReboundElectronics #MarketInsights #Semiconductor #GlobalNews #AI #TechNews

When fleet management is more than just “tracking location” — when safety, efficiency, compliance, and scalability all matter — you need a professional, multi-function vehicle tracker that can truly keep up. 🚛📡 🚀 #VL863 4G Vehicle Tracker PRO is built for exactly that. 🔌 Clean expansion bay I-WIRE, 3× TTL (configurable), RS485, RS232 — ready for multiple sensors, fuel probes, temperature sensors, RFID/MCR, and external DMS camera. ⚡ Fast deployment Add Bluetooth peripherals and roll out quickly — without turning installation into a long, complicated process. 🛠 Built for real projects 4G with 2G fallback, multi-constellation GNSS, 9–36V input, -20°C to 70°C, plus backup battery options. 🔊 Always evolving Two-way communication and voice alerts supported — because real fleets need real interaction. If your fleet is mixed, requirements keep changing, and projects grow over time — #VL863 is made for that. 🚚📡 #JimiIoT #Telematics #FleetTech #VehicleData #IoT #CANBus #MultipleSensors

We don't just need clocks that keep time. We need clocks that understand context. The humble oscillator has long been the silent, steady heartbeat of electronics. But as our systems venture into more extreme environments and demand impossible efficiency, the old rules no longer apply. The next generation of Temperature-Compensated Crystal Oscillators (TCXOs) is undergoing a quiet revolution. They're evolving from simple compensators into intelligent, adaptive subsystems. The blog I've shared dives into three key shifts: ➡️ From static correction to AI-enhanced prediction of thermal drift. ➡️ Achieving high stability without sacrificing the ultra-low power needed for the IoT frontier. ➡️ Building inherent ruggedness for the heat, cold, and vibration of autonomous and industrial systems. This isn't just an incremental improvement—it's a fundamental rethinking of what a timing component can be. The stability of our communications, navigation, and data systems will soon depend on these smarter, more resilient hearts. What timing challenge in your field could an intelligent, adaptive oscillator solve? #PrecisionTiming #TCXO #HardwareInnovation #5G #IoT #AutonomousVehicles #Semiconductors #RFDesign #Engineering #DynamicEngineers #EverythingRF

ASUS IoT Launches PE1000U Rugged DIN-Rail PC with Intel Core Ultra for Edge AI Applications 📌 ASUS IoT unveils the PE1000U, a rugged DIN-rail PC powered by Intel Core Ultra Series 2 processors, delivering up to 22.5 TOPS AI performance in a fanless, compact design. Built for harsh industrial environments, it enables real-time edge AI in AMRs, robotics, and vision systems with MIL-STD-810H vibration resistance and -25°C to 70°C operation. 🔗 Read more: https://lnkd.in/dEM798e2 #Asusiot #Pe1000u #Intelcoreultra #Edgeai #Dinrailpc