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
NXP Agrees to Acquire Edge AI Pioneer Kinara to Redefine the Intelligent Edge
Enhances NXP’s leading processing portfolio with cutting edge NPUs and AI software, driving intelligent system solutions across the industrial and automotive edge markets. Delivers high-performance neural network processing with advanced generative AI to create transformative
New AI SDKs and Tools Released for NVIDIA Blackwell GeForce RTX 50 Series GPUs
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA recently announced a new generation of PC GPUs—the GeForce RTX 50 Series—alongside new AI-powered SDKs and
10 Common Mistakes in Data Science Projects and How to Avoid Them
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. While Data Science is an established and highly esteemed profession with strong foundations in science, it is
RAG for Vision: Building Multimodal Computer Vision Systems
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. This article explores the exciting world of Visual RAG, exploring its significance and how it’s revolutionizing traditional
Vision Components Introduces MIPI Camera Modules with Integrated Image Pre-processing
Ettlingen, February 6, 2025. Vision Components introduces VC MIPI Cameras with onboard image pre-processing at embedded world (March 11-13, 2025, Nuremberg). The tiny camera modules can detect and extract barcodes, objects, edges and laser lines
Qualcomm AI Research Makes Diverse Datasets Available to Advance Machine Learning Research
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm AI Research has published a variety of datasets for research use. These datasets can be used to
Make Your Existing NVIDIA Jetson Orin Devices Faster with Super Mode
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. The NVIDIA Jetson Orin Nano Super Developer Kit, with its compact size and high-performance computing
Advanced Packaging: How AI is Revolutionizing the Game
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. The growth of the AI server market is driving the adoption of
STMicroelectronics and HighTec EDV-Systeme Collaborate for Safer Software-defined Vehicles
Where safety meets safety: ST’s Stellar MCUs certified to the highest level of risk management, ISO 26262 ASIL D, are now supported with the same safety level by HighTec’s Rust compiler Geneva, Switzerland and Saarbrücken,
Technologies
3LC: What is It and Who is It For?
This blog post was originally published at 3LC’s website. It is reprinted here with the permission of 3LC. AI performance isn’t just about better architectures or more compute – it’s about better data. Even perfectly labeled datasets can hold hidden inefficiencies that limit accuracy. See how teams use 3LC to refine datasets, optimize labeling strategies,
How e-con Systems’ TintE ISP IP Core Increases the Efficiency of Embedded Vision Applications
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. e-con Systems has developed TintE™, a ready to deploy ISP IP core engineered to enhance image quality in camera systems. Built to deliver high performance on leading FPGA platforms, it accelerates real-time image processing with
MIPS Drives Real-time Intelligence into Physical AI Platforms
The new MIPS Atlas product suite delivers cutting-edge compute subsystems that empower autonomous edge solutions to sense, think and act with precision, driving innovation across the growing physical AI opportunity in industrial robotics and autonomous platform markets. SAN JOSE, CA. – March 4th, 2025 – MIPS, the world’s leading supplier of compute subsystems for autonomous
Applications
Vision Language Model Prompt Engineering Guide for Image and Video Understanding
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Vision language models (VLMs) are evolving at a breakneck speed. In 2020, the first VLMs revolutionized the generative AI landscape by bringing visual understanding to large language models (LLMs) through the use of a vision encoder. These
In-cabin Sensing 2025-2035: Technologies, Opportunities, and Markets
For more information, visit https://www.idtechex.com/en/research-report/in-cabin-sensing-2025-2035-technologies-opportunities-and-markets/1077. The Yearly Market Size for In-cabin Sensors will Exceed $6B by 2035 Regulations like the Advanced Driver Distraction Warning (ADDW) and General Safety Regulation (GSR) are driving the growing importance of in-cabin sensing, particularly driver and occupancy monitoring systems. IDTechEx’s report, “In-Cabin Sensing 2025-2035: Technologies, Opportunities, Markets”, examines these regulations
Nearly $1B Flows into Automotive Radar Startups
According to IDTechEx‘s latest report, “Automotive Radar Market 2025-2045: Robotaxis & Autonomous Cars“, newly established radar startups worldwide have raised nearly US$1.2 billion over the past 12 years; approximately US$980 million of which is predominantly directed toward the automotive sector. Through more than 40 funding rounds, these companies have driven the implementation and advancement of
Functions
3LC: What is It and Who is It For?
This blog post was originally published at 3LC’s website. It is reprinted here with the permission of 3LC. AI performance isn’t just about better architectures or more compute – it’s about better data. Even perfectly labeled datasets can hold hidden inefficiencies that limit accuracy. See how teams use 3LC to refine datasets, optimize labeling strategies,
Vision Language Model Prompt Engineering Guide for Image and Video Understanding
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Vision language models (VLMs) are evolving at a breakneck speed. In 2020, the first VLMs revolutionized the generative AI landscape by bringing visual understanding to large language models (LLMs) through the use of a vision encoder. These
SAM 2 + GPT-4o: Cascading Foundation Models via Visual Prompting (Part 2)
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 2 of our Segment Anything Model 2 (SAM 2) Series, we show how foundation models (e.g., GPT-4o, Claude Sonnet 3.5 and YOLO-World) can be used to generate visual inputs (e.g., bounding boxes) for SAM 2. Learn
