AI Modeling Automation Visual AI 
AI News
JUNE 17, 2024
NVIDIA researchers are presenting new visual generative AI models and techniques at the Computer Vision 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.
AI News
JUNE 19, 2024
Meta has unveiled five major new AI models and research, including multi-modal systems that can process both text and images, next-gen language models, music generation, AI speech detection, and efforts to improve diversity in AI systems.
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Marktechpost
MARCH 29, 2024
We’ll see how Visual AI solutions can help the industry streamline such processes. With Visual AI solutions, e-commerce businesses can automatically change backgrounds, improve image quality, remove watermarks and even stage products in different environments. But how, exactly, are they to tackle them?
DataRobot Blog
MAY 18, 2022
Artificial intelligence (AI) can accelerate inspections by automating some reviews and prioritizing others, and unlike humans at the end of a long shift, an AI’s performance does not degrade over time. Dataset and Modeling Process. This data deficiency can cause the model to fail to recognize the target object (e.g.,
NVIDIA
JULY 29, 2024
NVIDIA announced at SIGGRAPH generative physical AI advancements including the NVIDIA Metropolis reference workflow for building interactive visual AI agents and new NVIDIA NIM microservices that will help developers train physical machines and improve how they handle complex tasks.
NVIDIA
NOVEMBER 18, 2024
Floor plan layouts are optimized first in the digital twin, and planners can locate optimal camera positions that help measure and identify ways to streamline operations with Metropolis visual AI agents. Using Omniverse, Foxconn can simulate robot AIs before deploying to NVIDIA Jetson-driven autonomous mobile robots.
IBM Journey to AI blog
JANUARY 11, 2024
And there’s no reason why mainframe applications wouldn’t benefit from agile development and smaller, incremental releases within a DevOps-style automated pipeline. Fortunately, production-oriented AI research was going on for years before ChatGPT arrived.
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