Resources
In-depth information about the edge AI and vision applications, technologies, products, markets and trends.
The content in this section of the website comes from Edge AI and Vision Alliance members and other industry luminaries.
All Resources
Free Webinar on Building Trustworthy Physical AI at the Edge
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,
The Eyes of Physical AI: Market Opportunities for MagikEye’s ILT Technology
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
Introducing ILT Pico: Compact Depth Sensing for Physical AI
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
Breadth, Depth and Value: Arm Empowers Developers for the Agentic AI Era
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
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
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
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
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
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
Technologies
NXP Tech Days Comes to Silicon Valley
NXP Semiconductors will host “NXP Tech Days,” on August 18, 2026, from 9:00 am to 6:00 pm PDT in Santa Clara, California. The event will feature hands-on workshops, expert-led sessions, and real-world insights across embedded systems, edge AI, connectivity, and security. From the event page: The Future, Engineered During the general session, discover how NXP
Mistral’s 8B Robostral Navigate Steers Robots Using a Single RGB Camera
Mistral AI has introduced Robostral Navigate, an 8-billion-parameter embodied navigation model designed to move robots through unfamiliar environments using natural-language instructions and images from a single RGB camera. Unlike many vision-language navigation systems, it does not require LiDAR, depth sensing or a panoramic multi-camera rig. On the R2R-CE validation-unseen benchmark, Mistral reports a 76.6% success
Microchip’s Demonstration of an SDI-to-HDMI® Cross-Converter on PolarFire FPGAs
Prakash Battu, Senior Manager of Design Engineering at Microchip, shares the company’s latest SDI-to-HDMI cross-converter solution. Built on PolarFire® FPGAs, the application supports dynamic rate switching and embedded audio across all SDI standards from 1.5G to 12G, and a standard HDMI IP for seamless interoperability. Because the design that delivers 2× better power efficiency, it
Applications
NXP Tech Days Comes to Silicon Valley
NXP Semiconductors will host “NXP Tech Days,” on August 18, 2026, from 9:00 am to 6:00 pm PDT in Santa Clara, California. The event will feature hands-on workshops, expert-led sessions, and real-world insights across embedded systems, edge AI, connectivity, and security. From the event page: The Future, Engineered During the general session, discover how NXP
Mistral’s 8B Robostral Navigate Steers Robots Using a Single RGB Camera
Mistral AI has introduced Robostral Navigate, an 8-billion-parameter embodied navigation model designed to move robots through unfamiliar environments using natural-language instructions and images from a single RGB camera. Unlike many vision-language navigation systems, it does not require LiDAR, depth sensing or a panoramic multi-camera rig. On the R2R-CE validation-unseen benchmark, Mistral reports a 76.6% success
Microchip’s Demonstration of an SDI-to-HDMI® Cross-Converter on PolarFire FPGAs
Prakash Battu, Senior Manager of Design Engineering at Microchip, shares the company’s latest SDI-to-HDMI cross-converter solution. Built on PolarFire® FPGAs, the application supports dynamic rate switching and embedded audio across all SDI standards from 1.5G to 12G, and a standard HDMI IP for seamless interoperability. Because the design that delivers 2× better power efficiency, it
Functions
AI On: 3 Ways to Bring Agentic AI to Computer Vision Applications
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Learn how to integrate vision language models into video analytics applications, from AI-powered search to fully automated video analysis. Today’s computer vision systems excel at identifying what happens in physical spaces and processes, but lack the abilities to explain the
SAM3: A New Era for Open‑Vocabulary Segmentation and Edge AI
Quality training data – especially segmented visual data – is a cornerstone of building robust vision models. Meta’s recently announced Segment Anything Model 3 (SAM3) arrives as a potential game-changer in this domain. SAM3 is a unified model that can detect, segment, and even track objects in images and videos using both text and visual
TLens vs VCM Autofocus Technology
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In this blog, we’ll walk you through how TLens technology differs from traditional VCM autofocus, how TLens combined with e-con Systems’ Tinte ISP enhances camera performance, key advantages of TLens over mechanical autofocus systems, and applications
