Blog Posts

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 computer vision pipelines. From understanding the basics of RAG to its specific applications in visual tasks and surveillance, we’ll examine […]

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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 train models in the kinds of applications most common to mobile computing, including: advanced driver assistance systems (ADAS), extended reality

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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 capabilities, is redefining generative AI for small edge devices. NVIDIA has dropped an exciting new update to their existing Jetson

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Empowering Civil Construction with AI-driven Spatial Perception

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Transforming Safety, Efficiency, and Automation in Construction Ecosystems In the rapidly evolving field of civil construction, AI-based spatial perception technologies are reshaping the way machinery operates in dynamic and unpredictable environments. These systems enable advanced

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The Future of AI in Business: Trends to Watch

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. In a world increasingly shaped by the rapid evolution of artificial intelligence, 2024 stands as another momentous year, with advancements that continue to reshape how we live, work, and imagine our future. From the rapid acceleration in

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Multimodal Large Language Models: Transforming Computer Vision

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. This article introduces multimodal large language models (MLLMs) [1], their applications using challenging prompts, and the top models reshaping computer vision as we speak. What is a multimodal large language model (MLLM)? In layman terms, a multimodal

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How Qualcomm is Catalyzing Retail’s AI Revolution

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Retail is embracing innovation — we’ll be showing off examples of these game-changing experiences at NRF 2025 With more places to shop than ever, physical stores are turning to AI and technology for a competitive edge. That

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Autofocus Systems: An In-depth Look at their Detection Methods and Liquid Lens Technology

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Autofocus systems are an integral part of modern-day cameras, enabling precise focus adjustment for clear and sharp images. Read this blog to learn the inner workings of autofocus systems. We cover both foundational concepts like

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How Au-Zone Technologies Plays a Key Role in the Ocean Cleanup Automated Debris Imaging System

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Founded in 2012 in Rotterdam, The Netherlands, The Ocean Cleanup is developing and scaling technologies to rid the oceans of plastic with ocean cleanup systems and river interception technologies. With over 150 employees, The Ocean

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Harnessing the Power of LLM Models on Arm CPUs for Edge Devices

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. In recent years, the field of machine learning has witnessed significant advancements, particularly with the development of Large Language Models (LLMs) and image generation models. Traditionally, these models have relied on powerful cloud-based infrastructures to deliver impressive

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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