This article was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Time-of-Flight (ToF) cameras with IR sensors are susceptible to performance variations caused by environmental dust. This dust can create ‘dust noise’ in the output depth map, directly impacting camera accuracy and, consequently, the reliability of critical […]
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
NVIDIA-Accelerated Mistral 3 Open Models Deliver Efficiency, Accuracy at Any Scale Read More +
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
SAM3: A New Era for Open‑Vocabulary Segmentation and Edge AI Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Quantization is a core tool for developers aiming to improve inference performance with minimal overhead. It delivers significant gains in latency, throughput, and memory efficiency by reducing model precision in a controlled way—without requiring retraining. Today, most models
Optimizing LLMs for Performance and Accuracy with Post-training Quantization Read More +
This article was originally published at Synetic AI’s website. It is reprinted here with the permission of Synetic AI. Synthetic data is changing how computer vision models are being trained. This page will explain synthetic data and how it compares to traditional approaches. After exploring the main methods of creating synthetic data, we’ll help you
Synthetic Data for Computer Vision Read More +
This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Marine ecosystems are under pressure from unsustainable fishing, with some populations declining faster than they can recover. Illegal, unreported, and unregulated (IUU) fishing further contributes to the problem, threatening biodiversity, economies, and global seafood supply chains. While many
AI On Board: Near Real-time Insights for Sustainable Fishing Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. State-of-the-art image diffusion models take tens of seconds to process a single image. This makes video diffusion even more challenging, requiring significant computational resources and high costs. By leveraging the latest FP8 quantization features on NVIDIA Hopper GPUs
Optimizing Transformer-based Diffusion Models for Video Generation with NVIDIA TensorRT Read More +
This article was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. I know why you’re here; you’ve decided to buy your first device with Snapdragon X Elite processor, awesome choice! You now ventured over to Qualcomm AI Hub, grabbed a model and excitedly watched as it downloaded. “Hmmm okay…
Enable Pose Detection on Snapdragon X Elite: Step-by-step Tutorial Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The past few years have witnessed the rise in popularity of generative AI and large language models (LLMs), as part of a broad AI revolution. As LLM-based applications are rolled out across enterprises, there is a need to
LLM Benchmarking: Fundamental Concepts Read More +
This article was originally published at 3LC’s website. It is reprinted here with the permission of 3LC. The COCO dataset is a cornerstone of modern object detection, shaping models used in self-driving cars, robotics, and beyond. But what happens when we take a closer look? By examining annotations, embeddings, and dataset patterns at a granular
Exploring the COCO Dataset Read More +
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