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SimPer: Simple self-supervised learning of periodic targets

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Posted by Daniel McDuff, Staff Research Scientist, and Yuzhe Yang, Student Researcher, Google Learning from periodic data (signals that repeat, such as a heart beat or the daily temperature changes on Earth’s surface) is crucial for many real-world applications, from monitoring weather systems to detecting vital signs. For example, in the environmental remote sensing domain, …

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Enhance Amazon Lex with conversational FAQ features using LLMs

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Amazon Lex is a service that allows you to quickly and easily build conversational bots (“chatbots”), virtual agents, and interactive voice response (IVR) systems for applications such as Amazon Connect. Artificial intelligence (AI) and machine learning (ML) have been a focus for Amazon for over 20 years, and many of the capabilities that customers use …

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Document AI introduces powerful new Custom Document Splitter to automate document processing

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Businesses rely on processing an inflow of documents to drive processes and make decisions. Many such documents are combined into a single file. For example, a loan application may have a driver’s license, paystub, W2, bank statement, and other document types within a single file. The complexity of handling many document types within a single …

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Retail Marketing Insights and Consumer Shopping Behavior Trends of 2024

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Few industries have been more affected by the rapid changes in consumer shopping behavior trends and infrastructure over the last decade than retail. From the rise of e-commerce and massive supply chain disruptions, to the instant popularity of the direct-to-consumer model and social media shopping, retailers are in an era of disruption and innovation.  All …

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Developing reliable AI tools for healthcare

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

We’ve published our joint paper with Google Research in Nature Medicine, which proposes CoDoC (Complementarity-driven Deferral-to-Clinical Workflow), an AI system that learns when to rely on predictive AI tools or defer to a clinician for the most accurate interpretation of medical images.

NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion

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Novel view synthesis from a single image requires inferring occluded regions of objects and scenes while simultaneously maintaining semantic and physical consistency with the input. Existing approaches condition neural radiance fields (NeRF) on local image features, projecting points to the input image plane, and aggregating 2D features to perform volume rendering. However, under severe occlusion, …

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