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NVIDIA presents latest advancements in visual AI

AI News

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.

Visual AI 351
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Meta unveils five AI models for multi-modal processing, music generation, and more

AI News

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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How Visual AI Can Assist Businesses In Efficiently Managing Large Volumes Of Images

Marktechpost

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?

Visual AI 111
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The Plagiarism Problem: How Generative AI Models Reproduce Copyrighted Content

Unite.AI

Plagiarism in Midjourney's V6 Alpha After limited prompting Midjourney's V6 model some researchers were able to generated nearly identical images to copyrighted films, TV shows, and video game screenshots likely included in its training data. But without AI ‘authors', some question if infringement claims apply.

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Modernizing mainframe applications with a boost from generative AI

IBM Journey to AI blog

Overcoming the limitations of generative AI We’ve seen numerous hypes around generative AI (or GenAI) lately due to the widespread availability of large language models (LLMs) like ChatGPT and consumer-grade visual AI image generators.

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AI Gets Physical: New NVIDIA NIM Microservices Bring Generative AI to Digital Environments

NVIDIA

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.

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Give AI a Look: Any Industry Can Now Search and Summarize Vast Volumes of Visual Data

NVIDIA

Enterprises and public sector organizations around the world are developing AI agents to boost the capabilities of workforces that rely on visual information from a growing number of devices — including cameras, IoT sensors and vehicles.