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In search of a generalizable method for source-free domain adaptation

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Posted by Eleni Triantafillou, Research Scientist, and Malik Boudiaf, Student Researcher, Google Deep learning has recently made tremendous progress in a wide range of problems and applications, but models often fail unpredictably when deployed in unseen domains or distributions. Source-free domain adaptation (SFDA) is an area of research that aims to design methods for adapting …

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Use Stable Diffusion XL with Amazon SageMaker JumpStart in Amazon SageMaker Studio

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Today we are excited to announce that Stable Diffusion XL 1.0 (SDXL 1.0) is available for customers through Amazon SageMaker JumpStart. SDXL 1.0 is the latest image generation model from Stability AI. SDXL 1.0 enhancements include native 1024-pixel image generation at a variety of aspect ratios. It’s designed for professional use, and calibrated for high-resolution …

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A new accelerator for AI-first startups in Europe and Israel

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TL;DR — We invite startups developing AI models, infrastructure, or applications in Europe and Israel to apply for the new Google for Startups Accelerator: AI First program. Google Cloud is committed to partnering with startups to innovate responsibly with AI and reach its full potential, especially teams leveraging tech to solve some of the world’s …

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Codeium’s Varun Mohan and Jeff Wang on Unleashing the Power of AI in Software Development

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

The world increasingly runs on code. Accelerating the work of those who create that code will boost their productivity — and that’s just what AI startup Codeium, a member of NVIDIA’s Inception program for startups, aims to do. On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz interviewed Codeium founder and CEO Varun …

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Debunking observability myths – Part 1: Why you can’t skip monitoring and rely only on logs

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

DevOps, SRE, Platform, ITOps and Developer teams are all under pressure to keep applications performant while operating faster and smarter than ever. One area that has seen significant advancements in recent years is observability. It has revolutionized the way IT teams approach incident prevention.   Some outdated concepts persist, however, that limit the productivity and …

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Use generative AI foundation models in VPC mode with no internet connectivity using Amazon SageMaker JumpStart

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

With recent advancements in generative AI, there are lot of discussions happening on how to use generative AI across different industries to solve specific business problems. Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. It is all backed by very large models …

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Announcing Tecton on Google Cloud: Accelerate the development of ML-powered applications

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Data is the lifeblood of any machine learning application. To make more accurate predictions, ML models need access to high-quality data signals, commonly referred to as ML features. These ML features are usually characterized by refined data with high signal value that incorporate all the latest information available to an organization. Tecton on Google Cloud …

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NVIDIA DGX Cloud Now Available to Supercharge Generative AI Training

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NVIDIA DGX Cloud — which delivers tools that can turn nearly any company into an AI company —  is now broadly available, with thousands of NVIDIA GPUs online on Oracle Cloud Infrastructure, as well as NVIDIA infrastructure located in the U.S. and U.K. Unveiled at NVIDIA’s GTC conference in March, DGX Cloud is an AI …

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The Role of Entropy and Reconstruction for Multi-View Self-Supervised Learning

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The mechanisms behind the success of multi-view self-supervised learning (MVSSL) are not yet fully understood. Contrastive MVSSL methods have been studied though the lens of InfoNCE, a lower bound of the Mutual Information (MI). However, the relation between other MVSSL methods and MI remains unclear. We consider a different lower bound on the MI consisting …

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