Software for Embedded Vision
Optimizing Edge AI for Effective Real-time Decision Making in Robotics
This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Optimizing Edge AI Key Takeaways Instant Decisions, Real-World Impact: Edge AI empowers robots to react in milliseconds, enabling life-saving actions in critical scenarios like autonomous vehicle collision avoidance and rapid search-and-rescue missions. Unshakeable Reliability, Unbreachable
Scalable Video Search: Cascading Foundation Models
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Video has become the lingua franca of the digital age, but its ubiquity presents a unique challenge: how do we efficiently extract meaningful information from this ocean of visual data? In Part 1 of this series, we navigate
Passenger Car ADAS Market 2025-2045: Technology, Market Analysis, and Forecasts
For more information, visit https://www.idtechex.com/en/research-report/passenger-car-adas-market-2025-2045-technology-market-analysis-and-forecasts/1080. Global L2+/L3 feature adoption will exceed 50% by 2035. Over the past few years, Advanced Driver Assistance Systems (ADAS) have become a core competitive factor in the passenger vehicles market. In particular, “Level 2+” has emerged as a term describing advanced Level 2 ADAS with more sophisticated capabilities, such as
Building a Simple VLM-based Multimodal Information Retrieval System with NVIDIA NIM
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In today’s data-driven world, the ability to retrieve accurate information from even modest amounts of data is vital for developers seeking streamlined, effective solutions for quick deployments, prototyping, or experimentation. One of the key challenges in information retrieval
Productionizing State-of-the-art Models at the Edge for Smart City Use Cases (Part I)
This blog post was originally published at CLIKA’s website. It is reprinted here with the permission of CLIKA. Approaches to productionizing models for edge applications can vary greatly depending on user priorities, with some models not requiring model optimization at all. An organization can choose pre-existing models designed specifically for edge use cases with performance
Qualcomm at Embedded World: Accelerating Digital Transformation with Edge AI
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. An essential partner to the embedded community, Qualcomm Technologies, Inc. strengthens its leadership in intelligent computing with several key announcements The AI revolution is sparking a wave of innovation in the embedded community, spawning a flurry of
AutoML Decoded: The Ultimate Guide and Tools Comparison
This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. The quest for efficient and user-friendly solutions has led to the emergence of a game-changing concept: Automated Machine Learning (AutoML). AutoML is the process of automating the tasks involved in the entire Machine Learning lifecycle, such as data
Zero-Shot AI: The End of Fine-tuning as We Know It?
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Models like SAM 2, LLaVA or ChatGPT can do tasks without special training. This has people wondering if the old way (i.e., fine-tuning) of training AI is becoming outdated. In this article, we compare two models: YOLOv8 (fine-tuning)
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
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
Fine-tuning LLMs for Cost-effective GenAI Inference at Scale
This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Data is the new oil, fueling the AI revolution. From user-tailored shopping assistants to AI researchers, to recreating the King, the applicability of AI models knows no bounds. Yet these models are only as good as the data
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
Taming LLMs: Strategies and Tools for Controlling Responses
This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. In the ever-evolving landscape of natural language processing, the advent of Large Language Models (LLMs) has ushered in a new era of possibilities and challenges. While these models showcase remarkable capabilities in generating human-like text, the potential for
New AI Model Offers Cellular-level View of Cancerous Tumors
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Researchers studying cancer unveiled a new AI model that provides cellular-level mapping and visualizations of cancer cells, which scientists hope can shed light on how—and why—certain inter-cellular relationships triggers cancers to grow. BioTuring, a San Diego-based startup,
D3 Embedded Partners with Silicon Highway to Provide Rugged Camera Solutions to Europe
Rochester, NY – February 12, 2025 – D3 Embedded today announced its partnership with Silicon Highway, a leading European distribution company specializing in embedded AI edge solutions, to accelerate the delivery of high-performance rugged cameras to the European market. This partnership will allow D3 Embedded to leverage Silicon Highway’s local expertise and knowledge of the
The Intersection of AI and Human Expertise: How Custom Solutions Enhance Collaboration
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Artificial Intelligence-based solutions have become increasingly prevalent, transforming industries, businesses, and daily life. However, rather than completely replacing human expertise, the most effective approach lies in creating a synergy between human knowledge, experience and intuition alongside AI’s
SAM 2 + GPT-4o: Cascading Foundation Models via Visual Prompting (Part 1)
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 1 of this article we introduce Segment Anything Model 2 (SAM 2). Then, we walk you through how you can set it up and run inference on your own video clips. Learn more about visual prompting
