In this episode of Beyond the Bench from Peridio, Bill Brock sits down with Robert Otręba, Founder & CEO of Grinn, a Poland-based embedded engineering company operating for nearly 18 years. Robert shares how Grinn grew from a two-person startup into a 70-engineer team specializing in system-on-modules (SOMs), embedded Linux, and high-speed hardware design.
Beyond the Bench: Reinventing Embedded Hardware with Grinn Read More +
This blog post was originally published at Helbling’s website. It is reprinted here with the permission of Helbling. Over the last five years, neuromorphic computing has rapidly advanced through the development of state-of-the-art hardware and software technologies that mimic the information processing dynamics of animal brains. This development provides ultra-low power computation capabilities, especially for edge
Neuromorphic computing enables ultra-low power edge devices 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 +
Katia Obraczka, Professor of Computer Science and Engineering, University of California, Santa Cruz, Pranay Kocheta, Lexington High School, and Nayan Bhatia, University of California, Santa Cruz present the “Non-Contact Vital Sign Monitoring Using Low-Cost WiFi Devices” tutorial at the December 2025 Edge AI and Vision Innovation Forum.
On April 20, 2026, at 8:00 pm PDT (11:00 am EDT) BrainChip will deliver a webinar “Akida Radar Reference Platform: See the Evolution of Radar Intelligence with AI-Powered Object Classification” From the event page: Join us on 20 April at 8:00 AM PT for an exclusive deep dive into BrainChip’s Radar Reference Platform — bringing
Upcoming Webinar on Akida Radar Reference Platform Read More +
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 +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The Gemmaverse expands with the launch of the latest Gemma 4 multimodal and multilingual models, designed to scale across the full spectrum of deployments, from NVIDIA Blackwell in the data center to Jetson at the edge. These models are suited
Bringing AI Closer to the Edge and On-Device with Gemma 4 Read More +
MOUNTAIN VIEW, Calif., April 2, 2026 — Google has introduced Gemma 4, a new family of open models with open weights that is clearly aimed at bringing more capable AI onto local hardware. Released under the Apache 2.0 license, the Gemma 4 family includes four sizes: E2B, E4B, 26B A4B MoE and 31B Dense. Google
Google Pushes Multimodal AI Further Onto Edge Devices with Gemma 4 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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