Algorithms

Low-Light Image Enhancement: YUV vs RAW – What’s the Difference?

This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. In the world of embedded vision—whether for mobile phones, surveillance systems, or smart edge devices—image quality in low-light conditions can make or break user experience. That’s where advanced AI-based denoising algorithms come into play. At our company, we […]

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NVIDIA-Accelerated Mistral 3 Open Models Deliver Efficiency, Accuracy at Any Scale

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The new Mistral 3 open model family delivers industry-leading accuracy, efficiency, and customization capabilities for developers and enterprises. Optimized from NVIDIA GB200 NVL72 to edge platforms, Mistral 3 includes: One large state-of-the-art sparse multimodal and multilingual mixture of

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NVIDIA Advances Open Model Development for Digital and Physical AI

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA releases new AI tools for speech, safety and autonomous driving — including NVIDIA DRIVE Alpamayo-R1, the world’s first open industry-scale reasoning vision language action model for mobility — and a new independent benchmark recognizes the openness and

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Let’s Visit the Zoo

This blog post was originally published at Quadric’s website. It is reprinted here with the permission of Quadric. The term “model zoo” first gained prominence in the world of AI / machine learning beginning in the 2016-2017 timeframe.  Originally used to describe open-source public repositories of working AI models – the most prominent of which today

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Small Models, Big Heat — Conquering Korean ASR with Low-bit Whisper

This blog post was originally published at ENERZAi’ website. It is reprinted here with the permission of ENERZAi. Today, we’ll share results where we re-trained the original Whisper for optimal Korean ASR(Automatic Speech Recognition), applied Post-Training Quantization (PTQ), and provided a richer Pareto analysis so customers with different constraints and requirements can pick exactly what

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STMicroelectronics introduces the industry’s largest MCU model zoo to accelerate Physical AI time to market

Nov 18, 2025  Geneva, Switzerland —>STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum of electronics applications, has unveiled new models and enhanced project support for its STM32 AI Model Zoo to accelerate the prototyping and development of embedded AI applications. This marks a significant expansion for what is already the industry’s largest library

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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

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Smarter Smartphone Photography: Unlocking the Power of Neural Camera Denoising with Arm SME2

This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. Discover how SME2 brings flexible, high-performance AI denoising to mobile photography for sharper, cleaner low-light images. Every smartphone photographer has seen it. Images that look sharp in daylight but fall apart in dim lighting. This happens because

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The Need for Continuous Training in Computer Vision Models

This blog post was originally published at Plainsight Technologies’ website. It is reprinted here with the permission of Plainsight Technologies. A computer vision model that works under one lighting condition, store layout, or camera angle can quickly fail as conditions change. In the real world, nothing is constant, seasons change, lighting shifts, new objects appear and

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Bringing Edge AI Performance to PyTorch Developers with ExecuTorch 1.0

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. ExecuTorch 1.0, an open source solution to training and inference on the Edge, becomes available to all developers Qualcomm Technologies contributed the ExecuTorch repository for developers to access Qualcomm® Hexagon™ NPU directly This streamlines the developer workflow

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