Processors

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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“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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Upcoming Webinar on Agentic Smart City Systems

On July 29, 2026 at 10:00 am PT (1:00 pm ET), Intel will present the webinar “Agentic Smart City Systems: Real-Time Traffic Orchestration.” Here’s the description, from the event registration page: Beat congestion, save time, and route smarter in this hands-on, gamified workshop where Agentic AI meets Edge AI to power next-generation smart cities and

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Beyond TOPS: The First Full-Pipeline AI Vision Benchmark

Beyond TOPS: The First Full-Pipeline AI Vision Benchmark EdgeFirst Perception Index profiles the entire perception pipeline — from CoreML to CUDA, desktop GPU to sub-7-watt edge NPU — and is the first independent benchmark to validate YOLO26 on edge hardware. The Q2 edition includes 330+ full validation sessions of 4 Ultralytics YOLO model families (21

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Lattice FPGA Embedded Vision: Real-Time ISP Pipeline with Integrated Tuning Tool

Lattice Semiconductor demonstrates a complete end-to-end vision pipeline running entirely on an FPGA, from CSI camera input to screen output. Raw sensor data is processed by an on-chip ISP that converts it to a clean YUV 422 video stream in real time. The platform includes a dedicated ISP builder and tuning tool, allowing designers to

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Video over Ethernet on Lattice CrossLink™-NX FPGA: Microsecond Latency Demo

Tecphos demonstrates real-time video over Ethernet using a Lattice CrossLink-NX 40 FPGA at the Embedded Vision Summit. The FPGA captures raw image data from a MIPI image sensor, processes and scales it, and simultaneously delivers an uncompressed stream to the host while compressing it to JPEG on-chip. Compressed data is formatted into Ethernet packets and

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