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
Quadric, Inference Engine for On-Device AI Chips, Raises $30M Series C as Design Wins Accelerate Across Edge
Tripling product revenues, comprehensive developer tools, and scalable inference IP for vision and LLM workloads, position Quadric as the platform for on-device AI. BURLINGAME, Calif., Jan. 14, 2026 (PRNewswire) — Quadric®, the inference engine that
How to Enhance 3D Gaussian Reconstruction Quality for Simulation
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Building truly photorealistic 3D environments for simulation is challenging. Even with advanced neural reconstruction methods such as 3D
Quadric’s SDK Selected by TIER IV for AI Processing Evaluation and Optimization, Supporting Autoware Deployment in Next-Generation Autonomous Vehicles
Quadric today announced that TIER IV, Inc., of Japan has signed a license to use the Chimera AI processor SDK to evaluate and optimize future iterations of Autoware, open-source software for autonomous driving pioneered by
Vision Components to Present VC MIPI IMX454 Multispectral Camera Module at Photonics West
Ettlingen, Germany, January 12, 2026 — Vision Components will present its new VC MIPI IMX454 Camera Module at SPIE Photonics West, 20-22 January in San Francisco, California. The MIPI Camera features Sony’s new multispectral image
AI Glasses: Ushering in the Next Generation of Advanced Wearable Technology
This blog post was originally published at NXP Semiconductors’ website. It is reprinted here with the permission of NXP Semiconductors. With the continuous evolution of AI and smart hardware, AI smart glasses are no longer
Deep Learning Vision Systems for Industrial Image Processing
This blog post was originally published at Basler’s website. It is reprinted here with the permission of Basler. Deep learning vision systems are often already a central component of industrial image processing. They enable precise error
Free Webinar Examines Autonomous Imaging for Environmental Cleanup
On March 3, 2026 at 9 am PT (noon ET), The Ocean Cleanup’s Robin de Vries, ADIS (Autonomous Debris Imaging System) Lead, will present the free hour webinar “Cleaning the Oceans with Edge AI: The
When DRAM Becomes the Bottleneck (Again): What the 2026 Memory Squeeze Means for Edge AI
A funny thing is happening in the edge AI world: some of the most important product decisions you’ll make this year won’t be about TOPS, sensor resolution, or which transformer variant to deploy. They’ll be
Upcoming Webinar on Advances in Automatic Test Pattern Generation
On January 14, 2026, at 7:00 am EST (10:00 am EST) Alliance Member company Synopsys will deliver a webinar “Advances in ATPG: From Power and Timing Awareness to Intelligent Pattern Search with AI” From the
Technologies
Upcoming Webinar on CSI-2 over D-PHY & C-PHY
On February 24, 2026, at 9:00 am PST (12:00 pm EST) MIPI Alliance will deliver a webinar “MIPI CSI-2 over D-PHY & C-PHY: Advancing Imaging Conduit Solutions” From the event page: MIPI CSI-2®, together with MIPI D-PHY™ and C-PHY™ physical layers, form the foundation of image sensor solutions across a wide range of markets, including
What’s New in MIPI Security: MIPI CCISE and Security for Debug
This blog post was originally published at MIPI Alliance’s website. It is reprinted here with the permission of MIPI Alliance. As the need for security becomes increasingly more critical, MIPI Alliance has continued to broaden its portfolio of standardized solutions, adding two more specifications in late 2025, and continuing work on significant updates to the MIPI Camera
Production-Ready, Full-Stack Edge AI Solutions Turn Microchip’s MCUs and MPUs Into Catalysts for Intelligent Real-Time Decision-Making
Chandler, Ariz., February 10, 2026 — A major next step for artificial intelligence (AI) and machine learning (ML) innovation is moving ML models from the cloud to the edge for real-time inferencing and decision-making applications in today’s industrial, automotive, data center and consumer Internet of Things (IoT) networks. Microchip Technology (Nasdaq: MCHP) has extended its edge AI offering
Applications
What Happens When the Inspection AI Fails: Learning from Production Line Mistakes
This blog post was originally published at Lincode’s website. It is reprinted here with the permission of Lincode. Studies show that about 34% of manufacturing defects are missed because inspection systems make mistakes.[1] These numbers show a big problem—when the inspection AI misses something, even a tiny defect can spread across hundreds or thousands of products. One
Accelerating next-generation automotive designs with the TDA5 Virtualizer™ Development Kit
This blog post was originally published at Texas Instruments’ website. It is reprinted here with the permission of Texas Instruments. Introduction Continuous innovation in high-performance, power-efficient systems-on-a-chip (SoCs) is enabling safer, smarter and more autonomous driving experiences in even more vehicles. As another big step forward, Texas Instruments and Synopsys developed a Virtualizer Development Kit™ (VDK) for the
Into the Omniverse: OpenUSD and NVIDIA Halos Accelerate Safety for Robotaxis, Physical AI Systems
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advancements in OpenUSD and NVIDIA Omniverse. New NVIDIA safety
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
