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
UCIe & Chiplets: A Practical Guide to Modular SoC Design
This blog post was originally published at Tessolve’s website. It is reprinted here with the permission of Tessolve. The semiconductor industry is undergoing a paradigm shift. Traditional monolithic System-on-Chip (SoC) designs are giving way to modular
From Warehouse to Wallet: New State of AI in Retail and CPG Survey Uncovers How AI Is Rewiring Supply Chains and Customer Experiences
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The third annual NVIDIA State of AI in Retail and CPG survey shows why nine in 10 retailers
Cadence and NVIDIA Unveil Accelerated Engineering Solutions Purpose-Built for Agentic AI Chip and System Design
New agentic integrated circuit (IC) and physical AI accelerated solutions enable engineers to solve previously impossible chip, system and AI factory challenges SAN JOSE, Calif.— Today, Cadence announced an expansion of its broad collaboration with NVIDIA to
STMicroelectronics and Leopard Imaging Accelerate Robotics Vision with NVIDIA Jetson-ready Multi-sensor Module
Key Takeaways Multimodal module combining 2D imaging, 3D depth sensing, and human-like motion perception NVIDIA Holoscan Sensor Bridge ensuring multi-gigabit plug and play connectivity with Jetson platforms Fully supported by NVIDIA Isaac open robot development
HSP: The new hardware accelerator that transforms an ultra-low-power STM32U3 into an AI machine
This blog post was originally published at STMicroelectronics’s website. It is reprinted here with the permission of STMicroelectronics. ST is launching today its hardware signal processor (HSP), a new hardware unit that the industry will experience
NVIDIA, T-Mobile and Partners Integrate Physical AI Applications on AI-RAN-Ready Infrastructure
News Summary: T-Mobile pilots NVIDIA RTX PRO 6000 Blackwell Server Edition AI infrastructure to demonstrate physical AI applications at the edge, complementing the AI-RAN Innovation Center’s distributed network Physical AI developers including Fogsphere, LinkerVision, Levatas,
Lattice Joins NVIDIA Halos Ecosystem to Advance Safety for Physical AI with Holoscan Sensor Bridge
HILLSBORO, Ore. – Mar. 16, 2026 – Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced it has joined the NVIDIA Halos AI Systems Inspection Lab ecosystem, the first ANSI National Accreditation Board (ANAB) accredited inspection lab
NVIDIA and Global Robotics Leaders Take Physical AI to the Real World
News Summary: Physical AI leaders across robot brain developers, industrial, and surgical robot giants and humanoid pioneers including ABB Robotics, AGIBOT, Agility, CMR Surgical, FANUC, Figure, Hexagon Robotics, KUKA, Medtronic, Skild AI, Universal Robots, World
NXP Delivers New Innovations for Advanced Physical AI with NVIDIA
Key Takeaways: Secure, reliable real-time data processing and transport solutions for next-generation physical AI applications, developed in collaboration with NVIDIA NVIDIA humanoid robotics solutions integrated into NXP’s safe, secure edge portfolio cut development costs and
Technologies
Upcoming Webinar on Agentic Memory Systems
On April 16, 2026, at 1:00 pm EDT (10:00 am PDT) Boston.AI will deliver a webinar “Remembering to Forget: Agentic Memory Systems and Context Constraints” From the event page: As AI agents evolve from stateless responders into persistent, goal-directed systems, memory has become a central design challenge. The question is no longer just what agents
From hardware to intelligence: The Qualcomm AI camera platform for scalable security solutions
At ISC West 2026 Qualcomm Technologies showcases its vision for the future of smart camera and security Key Takeaways: End-to-end AI development tools and the Qualcomm Insight Platform to enable customers to develop AI features once and scale across their entire product portfolio. Qualcomm Technologies’ camera solutions span video security, law enforcement and enterprise body
Lightweight Keyword Spotting Solution from Microchip
Microchip presents a customizable, target-agnostic solution to program wake words and voice commands. The ML model, generated and tested using a custom application, has low latency and a minimal memory footprint, making it ideal for resource-constrained embedded systems. The ML model can be integrated into voice-based applications running on any 32-bit microcontroller or microprocessor running
Applications
2026: The Year Intelligence Gets Physical
This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Artificial intelligence is entering a new phase where models interpret contextual data whilst interacting with the physical world in real time. At Analog Devices, Inc. (ADI), we call this Physical Intelligence: intelligent systems that can perceive, reason
From Warehouse to Wallet: New State of AI in Retail and CPG Survey Uncovers How AI Is Rewiring Supply Chains and Customer Experiences
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The third annual NVIDIA State of AI in Retail and CPG survey shows why nine in 10 retailers will increase AI budgets in 2026, focusing on open-source models and software, as well as agentic and physical AI. Highlights
STMicroelectronics and Leopard Imaging Accelerate Robotics Vision with NVIDIA Jetson-ready Multi-sensor Module
Key Takeaways Multimodal module combining 2D imaging, 3D depth sensing, and human-like motion perception NVIDIA Holoscan Sensor Bridge ensuring multi-gigabit plug and play connectivity with Jetson platforms Fully supported by NVIDIA Isaac open robot development platform STMicroelectronics and Leopard Imaging® have introduced an all-in-one multimodal vision module for humanoid and other advanced robotics systems. Combining
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
