UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Text-to-Image (T2I) diffusion models have shown impressive results in generating visually compelling images following user prompts. Building on this, various methods further fine-tune the pre-trained T2I model for specific tasks. However, this requires separate model architectures, training designs, and multiple parameter sets to handle different tasks. In this paper, we introduce UniVG, a generalist diffusion …

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Palantir Joins Forces with U.S. Army for Project Convergence Capstone

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Powering Defense Innovation As the U.S. Army seeks to integrate innovative commercial solutions into its operations, its Project Convergence Capstone serves as a vital series of exercises that explore the application of cutting-edge defense tech. Palantir, a committed partner in supporting the warfighter, proudly participated in the latest PCC5 exercise. Project Convergence, the Army’s premier …

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Figure 1 Virtual AI Assistant Reference Architecture

Build a generative AI enabled virtual IT troubleshooting assistant using Amazon Q Business

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Today’s organizations face a critical challenge with the fragmentation of vital information across multiple environments. As businesses increasingly rely on diverse project management and IT service management (ITSM) tools such as ServiceNow, Atlassian Jira and Confluence, employees find themselves navigating a complex web of systems to access crucial data. This isolated approach leads to several …

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Mastering secure AI on Google Cloud, a practical guide for enterprises

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Introduction As we continue to see rapid AI adoption across the industry, organizations still often struggle to implement secure solutions because of the new challenges around data privacy and security.  We want customers to be successful as they develop and deploy AI, and that means carefully considering risk mitigation and proactive security measures. The four …

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DNA data storage: AI method speeds up data retrieval by 3,200 times

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Researchers from the Henry and Marilyn Taub Faculty of Computer Science have developed an AI-based method that accelerates DNA-based data retrieval by three orders of magnitude while significantly improving accuracy. The research team included Ph.D. student Omer Sabary, Dr. Daniella Bar-Lev, Dr. Itai Orr, Prof. Eitan Yaakobi, and Prof. Tuvi Etzion.

Bedrock SAW

Streamline AWS resource troubleshooting with Amazon Bedrock Agents and AWS Support Automation Workflows

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As AWS environments grow in complexity, troubleshooting issues with resources can become a daunting task. Manually investigating and resolving problems can be time-consuming and error-prone, especially when dealing with intricate systems. Fortunately, AWS provides a powerful tool called AWS Support Automation Workflows, which is a collection of curated AWS Systems Manager self-service automation runbooks. These …

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