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 +
LAGUNA HILLS, Calif. — April 6, 2026 — BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, BCHPY), the world’s first commercial producer of ultra-low-power, neuromorphic AI technology, today announced the launch of its Radar Reference Platform. This fully validated hardware and AI stack is designed to provide real-time object classification at the edge, solving the critical “identification gap” that limits traditional radar
BrainChip Unveils Radar Reference Platform to Bridge the ‘Identification Gap’ in Edge AI Read More +
California & Chennai (March 31, 2026): e-con Systems®, a global leader in embedded vision solutions, launches STURDeCAM57, a 5MP global shutter RGB-IR GMSL2 camera designed to deliver reliable, context-rich vision from day to night for applications such as Driver Monitoring Systems (DMS) and Occupant Monitoring Systems (OMS). This new RGB-IR camera is based on the
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 +
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 +
OSRAM utilizes the Quantus SNA workflow for high-precision silicon. In modern semiconductor design, Heterogeneous Integration is the new frontier. When light detectors for Medical Imaging or depth sensors for Autonomous Systems are packed onto a single die alongside radio systems, the risk of interference skyrockets. For ams OSRAM, “sensing the power of light” means more
See How ams OSRAM Revolutionize Optical Solutions with the Help of Cadence Tools Read More +
This blog post was originally published at Quadric’s website. It is reprinted here with the permission of Quadric. After years of cloud-centric inference, AI is moving to the edge. The “Goldilocks zone” of 3B to 30B parameter models is delivering GPT-4-class performance on smartphones, automotive systems, and industrial equipment — and creating an acute challenge for
The On-Device LLM Revolution: Why 3B-30B Models Are Moving to the Edge Read More +
LETTER FROM THE EDITOR Dear Colleague, This issue highlights two practical themes in edge AI: data foundations for AI and safety-critical edge AI. Across these articles, a common engineering lesson emerges: building successful systems requires not just strong models, but disciplined work on the data pipeline and careful design for safe operation in demanding
Edge AI and Vision Insights: April 1, 2026 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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