On September 2, 2026 at 9 am PT (noon ET), Muneyb Minhazuddin, Customer Growth Officer at Ambarella and Pietro Antonio Cicalese, Senior Technical Marketing Engineer at Ambarella, will present the free hour webinar “See, Think, Act, Learn: Building Trustworthy Physical AI at the Edge,” organized by the Edge AI and Vision Alliance. Here’s the description, from […]
Free Webinar on Building Trustworthy Physical AI at the Edge Read More +
Feisal Afzal discusses the growing market opportunities for MagikEye’s Invertible Light™ Technology across robotics, smart appliances, automotive systems, and emerging Physical AI platforms. The conversation explores how efficient depth perception can enable safer, smarter, and more capable machines operating at the edge. With increasing demand for spatial intelligence in the physical world, ILT is positioned
The Eyes of Physical AI: Market Opportunities for MagikEye’s ILT Technology Read More +
Jan Heller showcases ILT Pico, MagikEye’s compact developer platform built around its patented Invertible Light™ Technology. The system delivers precise depth perception with low power consumption and reduced compute requirements compared to conventional approaches. Designed for robotics, smart appliances, and edge AI applications, ILT Pico makes advanced machine vision more accessible to developers and innovators.
Introducing ILT Pico: Compact Depth Sensing for Physical AI Read More +
This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. Great hardware matters, but software is what helps unlock its full value. Arm’s DNA is hardware, and our sustained software investments help make that hardware easier to use, optimize, and scale. Since our inception, Arm has invested across the
Breadth, Depth and Value: Arm Empowers Developers for the Agentic AI Era Read More +
Shanghai, China, July 3, 2026–VeriSilicon (688521.SH) today announced its high-performance CPP2000 Camera Post-Processing (CPP) IP, expanding the company’s Image Signal Processing (ISP) solutions with advanced post-processing capabilities. By improving image quality and visual perception in mobile imaging scenarios, CPP2000 enables more reliable vision performance in robotics, drones, and other mobile vision applications. CPP2000 integrates multiple
Latest release leverages sparse neural networks to improve performance and enable more efficient edge AI on PolarFire® FPGAs and SoCs CHANDLER, Ariz., July 14, 2026 — Deploying AI inference in power‑constrained and mission‑critical environments such as aerospace and defense systems requires solutions that balance performance, efficiency, reliability and ease of development. To better manage these challenges,
Microchip Advances Neural Network Implementation with VectorBlox 3.0 Accelerator SDK Read More +
Watch a mobile robot powered by MagikEye’s Invertible Light™ Technology (ILT) navigate autonomously while detecting and avoiding obstacles in real time. This demonstration highlights how ILT delivers low-latency depth perception using a compact, power-efficient sensor architecture. The technology is designed for robotics, automation, and Physical AI applications where reliable spatial awareness is essential. Learn how
MagikEye ILT Enables Real-Time Robot Navigation and Obstacle Avoidance Read More +
Lattice Semiconductor demonstrates how the CertusPro-NX FPGA bridges an image sensor to a Raspberry Pi, performing on-device pre-processing and object detection before passing data to the host CPU. Sensor frames at 30 fps are fed into the FPGA, where an object detection model — trained on eight automotive object classes — runs locally and outputs
Smart Sensor Demo: On-Device Object Detection with Lattice CertusPro™-NX Read More +
This blog post was originally published at Micron Technology’s website. It is reprinted here with the permission of Micron Technology. As AI agents become long lived and concurrent, memory capacity, not just compute, has emerged as the deciding factor in real world AI workstation performance. At Dell Technologies World (DTW) in Las Vegas, Micron showcased a
Why Memory Capacity is the Real Performance Bottleneck in Agentic AI Workstations Read More +
Sébastien Taylor, VP of R & D at Au-Zone Technologies presents “From YOLO to SAM: Segmentation Models on Real Edge Hardware” at the May 2026 Embedded Vision Summit. Segmentation is fundamental to edge vision—from drivable surface detection to industrial inspection. But how do different approaches actually perform on resource-constrained hardware?… “From YOLO to SAM: Segmentation
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