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Robust Online Allocation with Dual Mirror Descent

Posted by Santiago Balseiro, Staff Research Scientist, Google Research, and Associate Professor at Columbia University, and Vahab Mirrokni, Distinguished Scientist, Google Research The emergence of digital technologies has transformed decision making across commercial sectors such as airlines, online retailing, and internet advertising. Today, real-time decisions need to be repeatedly made in highly uncertain and rapidly …

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Discover insights from Zendesk with Amazon Kendra intelligent search

Customer relationship management (CRM) is a critical tool that organizations maintain to manage customer interactions and build business relationships. Zendesk is a CRM tool that makes it easy for customers and businesses to keep in sync. Zendesk captures a wealth of customer data, such as support tickets created and updated by customers and service agents, …

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Amazon SageMaker Automatic Model Tuning now provides up to three times faster hyperparameter tuning with Hyperband

Amazon SageMaker Automatic Model Tuning introduces Hyperband, a multi-fidelity technique to tune hyperparameters as a faster and more efficient way to find an optimal model. In this post, we show how automatic model tuning with Hyperband can provide faster hyperparameter tuning—up to three times as fast. The benefits of Hyperband Hyperband presents two advantages over …

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Read webpages and highlight content using Amazon Polly

In this post, we demonstrate how to use Amazon Polly—a leading cloud service that converts text into lifelike speech—to read the content of a webpage and highlight the content as it’s being read. Adding audio playback to a webpage improves the accessibility and visitor experience of the page. Audio-enhanced content is more impactful and memorable, …

Cloud Wisdom Weekly: 4 ways AI/ML boosts innovation and reduces costs

“Cloud Wisdom Weekly: for tech companies and startups” is a new blog series we’re running this fall to answer common questions our tech and startup customers ask us about how to build apps faster, smarter, and cheaper. In this installment, we explore how to leverage artificial intelligence (AI) and machine learning (ML) for faster innovation …

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How Palantir’s Automotive Solutions Will Revolutionize Quality

Palantir Automotive and Mobility is helping OEMs, suppliers, and dealers turn the corner on automotive quality The automotive industry is facing some of its biggest challenges yet. Inflation is driving the cost of raw materials up while compounding supply chain disruptions are leading to component shortages. The war in Ukraine threatens gas supplies and contributes …

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PaLI: Scaling Language-Image Learning in 100+ Languages

Posted by Xi Chen and Xiao Wang, Software Engineers, Google Research Advanced language models (e.g., GPT, GLaM, PaLM and T5) have demonstrated diverse capabilities and achieved impressive results across tasks and languages by scaling up their number of parameters. Vision-language (VL) models can benefit from similar scaling to address many tasks, such as image captioning, …

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Use Amazon SageMaker Data Wrangler for data preparation and Studio Labs to learn and experiment with ML

Amazon SageMaker Studio Lab is a free machine learning (ML) development environment based on open-source JupyterLab for anyone to learn and experiment with ML using AWS ML compute resources. It’s based on the same architecture and user interface as Amazon SageMaker Studio, but with a subset of Studio capabilities. When you begin working on ML …

Layer-Wise Data-Free CNN Compression

We present an efficient method for compressing a trained neural network without using any data. Our data-free method requires 14x-450x fewer FLOPs than comparable state-of-the-art methods. We break the problem of data-free network compression into a number of independent layer-wise compressions. We show how to efficiently generate layer-wise training data, and how to precondition the …

RGB-X Classification for Electronics Sorting

Effectively disassembling and recovering materials from waste electrical and electronic equipment (WEEE) is a critical step in moving global supply chains from carbon-intensive, mined materials to recycled and renewable ones. Conventional recycling processes rely on shredding and sorting waste streams, but for WEEE, which is comprised of numerous dissimilar materials, we explore targeted disassembly of …