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NVIDIA researchers are presenting new visual generative AI models and techniques at the ComputerVision and Pattern Recognition (CVPR) conference this week in Seattle. The advancements span areas like custom image generation, 3D scene editing, visual language understanding, and autonomous vehicle perception.
NVIDIA announced at SIGGRAPH generative physical AI advancements including the NVIDIA Metropolis reference workflow for building interactive visualAI agents and new NVIDIA NIM microservices that will help developers train physical machines and improve how they handle complex tasks.
Computervision in retail is a growing field. More and more companies operating in the retail and e-commerce sectors are now using computervision solutions to better meet customer needs and manage inventory. provides the leading end-to-end ComputerVision Platform Viso Suite. About us: Viso.ai
Aigen, which recently unveiled a new self-driving robot, is led by co-founders, Rich Wurden, left, and Kenny Lee. The Pacific Northwest is home to a number of up-and-coming startups using AI to zap weeds, monitor plant health, and identify rocks in fields. They decided to focus on agriculture.
Photo by Andrea Piacquadio: [link] Computervision is one of the most widely used and evolving fields of AI. It gives the computer the ability to observe and learn from visual data just like humans. In this process, the computer derives meaningful information from digital images, videos etc.
The YOLOv7 algorithm is making big waves in the computervision and machine learning communities. provides the only end-to-end computervision application platform, Viso Suite. The software infrastructure is used by leading organizations to gather data, train YOLOv7 models, and deliver computervision applications.
Autonomous underwater vehicles (AUVs) are unmanned underwater robots controlled by an operator or pre-programmed to explore different waters autonomously. These robots are usually equipped with cameras, sonars, and depth sensors, allowing them to autonomously navigate and collect valuable data in challenging underwater environments.
leap in generative AI inference performance, a 70% increase in performance to 67 INT8 TOPS, and a 50% increase in memory bandwidth to 102GB/s compared with its predecessor. Jetson Orin Nano Super is suited for those interested in developing skills in generative AI, robotics or computervision.
To support their work, a new NVIDIA AI Blueprint for video search and summarization will enable developers in virtually any industry to build visualAI agents that analyze video and image content. 405B and AI models for GPU-accelerated question answering and context-aware retrieval-augmented generation.
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