On May 12, 2026, at 10:00 am CEST, RESTAR FRAMOS will deliver a webinar “Reaching High-Speed and High-Resolution Architecture with IMX925/935 and SLVS-EC” From the event page: From sensor architecture to real-world integration — join the engineers behind the technology High-speed and high-resolution machine vision systems are pushing the limits of data throughput, latency, and […]
This blog post was originally published at V-Nova’s website. It is reprinted here with the permission of V-Nova. In Industrial and Defense environments, I hear the same story. More cameras. Higher resolutions. Stricter latency targets. Infrastructure that cannot be replaced easily. And increasing pressure around storage, bandwidth, compute, and privacy. This is why MPEG-5 LCEVC is becoming even more relevant. It improves compression
MPEG-5 LCEVC: A practical shift for industrial AI video pipelines Read More +
On May 27, 2026, at 10:00 am PDT (1:00 pm EDT) Intel will deliver a webinar “From Annotation to Deployment: Building an Object Detection Pipeline with Geti, YOLO26, and OpenVINO™” From the event page: Learn from Ultralytics and Intel® AI experts working side by side in this hands-on session and discover how to build production-ready
Upcoming Webinar on Building an Object Detection Pipeline Read More +
TI’s new application brief and companion demo outline how mmWave radar, camera input, FPGA-based sensor bridging and NVIDIA Holoscan can be combined into a low-latency perception pipeline for humanoids and other autonomous machines. Texas Instruments, D3 Embedded, Lattice Semiconductor and NVIDIA are outlining a concrete radar-camera fusion stack for robotics rather than just talking
This blog post was originally published at AMD’s website. It is reprinted here with the permission of AMD. This blog showcases how to deploy power-efficient Ryzen AI perception models with ROS 2 – the Robot Operating System. We utilize the Ryzen AI Max+ 395 (Strix-Halo) platform, which is equipped with an efficient Ryzen AI NPU and
Building Robotics Applications with Ryzen AI and ROS 2 Read More +
This blog post was originally published at Axelera AI’s website. It is reprinted here with the permission of Axelera AI. A camera sees everything and understands nothing. For decades, that has been the fundamental limitation of physical security at scale: vast amounts of footage, limited ability to act on it in real time. The gap between
The Future of Security Is Already Running. Here Is What It Looks Like. Read More +
We’re excited to announce Intel’s strategic partnership with Google to deliver optimized Gemma 4 models on Intel hardware from day one. This collaboration enables developers to leverage the power of Google’s latest AI models on Intel hardware: Intel® Core™ Ultra processors, Intel® Xeon® CPUs, and Intel® Arc™ GPUs. Developers can create AI applications that run
Gemma 4 Models Optimized for Intel Hardware: Enabling Instant Deployment from Day Zero Read More +
I’ve been using AI-assisted coding for my work a lot recently, and I’ll admit, I wasn’t sure how I felt about it. Was I cheating? How do I know it’s right? Do I admit to using it? Looking at how software development has evolved over time helped answer those questions and led to a few
AI-Assisted Coding: The Next Step in Abstraction Read More +
News Summary: Physical AI leaders across robot brain developers, industrial, and surgical robot giants and humanoid pioneers including ABB Robotics, AGIBOT, Agility, CMR Surgical, FANUC, Figure, Hexagon Robotics, KUKA, Medtronic, Skild AI, Universal Robots, World Labs and YASKAWA are building on NVIDIA technology to develop and deploy physical AI at scale. NVIDIA unveils new NVIDIA
NVIDIA and Global Robotics Leaders Take Physical AI to the Real World Read More +
This blog post was originally published at ModelCat’s website. It is reprinted here with the permission of ModelCat. Artificial intelligence has never been more visible yet more misunderstood. Every week seems to bring new headlines about larger models, more parameters, and benchmark-breaking performance. For developers and product teams responsible for shipping real-world AI systems, that
AI at the Edge: Designing for Constraints from Day One Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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