Software for Embedded Vision
AI On the Road: Why AI-powered Cars are the Future
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. AI transforms your driving experience in unexpected ways as showcased by Qualcomm Technologies collaborations As automotive technology rapidly advances, consumers are looking for vehicles that deliver AI-enhanced experiences through conversational voice assistants and sophisticated user interfaces. Automotive
CPUs, GPUs, and AI: Exploring High-performance Computing Hardware
IDTechEx‘s latest report, “Hardware for HPC and AI 2025-2035: Technologies, Markets, Forecasts“, provides data to show that the use of graphics processing units (GPUs) within high performance computing (HPC) has been increasingly adopted since the introduction of generative AI and large language models, as well as advanced memory, storage, networking, and cooling technologies. Drivers for
Visual Intelligence at the Edge
This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Optimizing AI-based video telematics deployments on constrained SoCs platforms The demand for advanced video telematics systems is growing rapidly as companies seek to enhance road safety, improve operational efficiency, and manage liability costs with AI-powered
NVIDIA JetPack 6.2 Brings Super Mode to NVIDIA Jetson Orin Nano and Jetson Orin NX Modules
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The introduction of the NVIDIA Jetson Orin Nano Super Developer Kit sparked a new age of generative AI for small edge devices. The new Super Mode delivered an unprecedented generative AI performance boost of up to 1.7x
Improving Vision Model Performance Using Roboflow and Tenyks
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. When improving an object detection model, many engineers focus solely on tweaking the model architecture and hyperparameters. However, the root cause of mediocre performance often lies in the data itself. In this collaborative post between Roboflow and
Federated Learning: Risks and Challenges
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. In the first article of our mini-series on Federated Learning (FL), Privacy-First AI: Exploring Federated Learning, we introduced the basic concepts behind the decentralized training approach, and we also presented potential applications in certain domains. Undoubtedly, FL
Edge Intelligence and Interoperability are the Key Components Driving the Next Chapter of the Smart Home
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The smart home industry is on the brink of a significant leap forward, fueled by generative AI and edge capabilities The smart home is evolving to include advanced capabilities, such as digital assistants that interact like friends
Accelerate Custom Video Foundation Model Pipelines with New NVIDIA NeMo Framework Capabilities
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Generative AI has evolved from text-based models to multimodal models, with a recent expansion into video, opening up new potential uses across various industries. Video models can create new experiences for users or simulate scenarios for training
NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance (Part 3 of 3)
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. During this series, we will use Tenyks to build a data-centric pipeline to debug and fix a model trained with the NVIDIA TAO Toolkit. Part 1. We demystify the NVIDIA ecosystem and define a data-centric pipeline based
Computer Vision and AI at the Edge with a Thermal Camera Provider and a Toy Manufacturer
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. As the pace of artificial intelligence innovation accelerates, we’re seeing AI and computer vision go from science fiction tropes to enabling highly efficient and compelling applications. This integration is particularly potent at the edge, where devices locally
HPC Hardware Market to Grow at 13.6% CAGR to 2035
HPC systems, including supercomputers, outclass all other classes of computing in terms of calculation speed by parallelizing processing over many processors. HPC has long been an integral tool across critical industries, from facilitating engineering modeling to predicting the weather. The AI boom has intensified development in the sector, growing the capabilities of hardware technologies, including
How AI On the Edge Fuels the 7 Biggest Consumer Tech Trends of 2025
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. From more on-device AI features on your phone to the future of cars, 2025 is shaping up to be a big year Over the last two years, generative AI (GenAI) has shaken up, well, everything. Heading into
Israeli Start-up Visionary.ai Powers the Revolutionary Under-display Camera on the Lenovo Yoga Slim 9i
The long-awaited camera-under-display laptop technology is being launched at CES for the first time on Lenovo Yoga Slim 9i Jan 08, 2025 – JERUSALEM, ISRAEL – Under-display cameras—fully hidden beneath laptop screens—have been an unrealized dream until now. This revolutionary technology enables Lenovo to deliver a sleek, bezel-free design while maintaining exceptional video quality, thanks
Customize e-con Systems’ FPGA IP Cores to Meet Unique Vision Needs
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Developing cutting-edge vision systems requires more than just advanced hardware—it demands the ability to customize and optimize image processing to meet specific application needs. That’s why e-con Systems offers a suite of high-performance Image Signal
NVIDIA DRIVE Hyperion Platform Achieves Critical Automotive Safety and Cybersecurity Milestones for AV Development
Adopted and Backed by Automotive Manufacturers and Safety Authorities, Latest Iteration to Feature DRIVE Thor on NVIDIA Blackwell Running NVIDIA DriveOS January 6, 2025 — CES — NVIDIA today announced that its autonomous vehicle (AV) platform, NVIDIA DRIVE AGX™ Hyperion, has passed industry-safety assessments by TÜV SÜD and TÜV Rheinland — two of the industry’s
NVIDIA Expands Omniverse With Generative Physical AI
New Models, Including Cosmos World Foundation Models, and Omniverse Mega Factory and Robotic Digital Twin Blueprint Lay the Foundation for Industrial AI Leading Developers Accenture, Altair, Ansys, Cadence, Microsoft and Siemens Among First to Adopt Platform Libraries January 6, 2025 — CES — NVIDIA today announced generative AI models and blueprints that expand NVIDIA Omniverse™
NVIDIA Launches Cosmos World Foundation Model Platform to Accelerate Physical AI Development
New State-of-the-Art Models, Video Tokenizers and an Accelerated Data Processing Pipeline, Optimized for NVIDIA Data Center GPUs, Are Purpose-Built for Developing Robots and Autonomous Vehicles First Wave of Open Models Available Now to Developer Community Global Physical AI Leaders 1X, Agile Robots, Agility, Figure AI, Foretellix, Uber, Waabi and XPENG Among First to Adopt January 6, 2025 —
NVIDIA Launches AI Foundation Models for RTX AI PCs
NVIDIA NIM Microservices and AI Blueprints Help Developers and Enthusiasts Build AI Agents and Creative Workflows on PC January 6, 2025 — CES — NVIDIA today announced foundation models running locally on NVIDIA RTX™ AI PCs that supercharge digital humans, content creation, productivity and development. These models — offered as NVIDIA NIM™ microservices — are accelerated by
