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VeriSilicon Introduces CPP2000 Camera Post-Processing IP for Embodied Robotics and Mobile Vision Applications

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 […]

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Microchip Advances Neural Network Implementation with VectorBlox 3.0 Accelerator SDK

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,

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MagikEye ILT Enables Real-Time Robot Navigation and Obstacle Avoidance

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

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Smart Sensor Demo: On-Device Object Detection with Lattice CertusPro™-NX

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

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Why Memory Capacity is the Real Performance Bottleneck in Agentic AI Workstations

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

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“From YOLO to SAM: Segmentation Models on Real Edge Hardware,” a Presentation from Au-Zone Technologies

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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Run Ultralytics YOLO on Axelera AIPUs in Minutes

This blog post was originally published at Axelera AI’s website. It is reprinted here with the permission of Axelera AI. Trying new AI hardware typically means weeks of integration work before you can tell if the hardware is even worth it. There’s a new compiler, new runtime, and new preprocessing quirks. By the time you’ve ported

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Microchip Expands Developer Access with Free MPLAB® XC Compilers and MPLAB Machine Learning Development Suite

CHANDLER, Ariz., July 8, 2026 — Microchip Technology (Nasdaq: MCHP) has announced that its MPLAB® XC Pro Compilers and MPLAB Machine Learning (ML) Development Suite are now available at no cost to customers. By enabling unlimited installs across individual and team environments, these tools give developers free access to advanced optimization capabilities and integrated embedded machine learning workflows. “Our focus is on optimizing

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Ebttikar and MemryX Form Strategic Partnership to Accelerate Computer Vision Edge AI Across Saudi Arabia

RIYADH, Saudi Arabia, July 9, 2026 /PRNewswire/ — Ebttikar Technology Company, a Saudi technology solutions provider and systems integrator, and MemryX Inc., a developer of edge AI inference accelerator chips, today announced a strategic partnership to accelerate the commercial deployment of production-ready Computer Vision Edge AI solutions across Saudi Arabia, with potential expansion to qualified opportunities in

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Free Webinar on Designing Computer Vision for the Far Edge

On September 24, 2026 at 9 am PT (noon ET), Nicolas Widynski, AI Fellow at Lattice Semiconductor, will present the free hour webinar “Efficient Computer Vision at the Far Edge: Design and Training Under Constraints,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: This session explores practical

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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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