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​ Machine learning (ML) has become ubiquitous. Our customers are employing ML in every aspect of their business, including the products and services they build, and for drawing insights about their customers. To build an ML-based application, you have to first build the ML model… Read More »Optimize your machine learning deployments with auto scaling on Amazon SageMaker Mohan Gandhi AWS Machine Learning Blog

​Posted by Jinsung Yoon and Sercan O. Arik, Research Scientists, Google Research, Cloud AI Team Anomaly detection (AD), the task of distinguishing anomalies from normal data, plays a vital role in many real-world applications, such as detecting faulty products from vision sensors in manufacturing, fraudulent… Read More »Unsupervised and semi-supervised anomaly detection with data-centric ML Google AI Google AI Blog

​ This post is co-written with Stephen Aylward, Matt McCormick, Brianna Major from Kitware and Justin Kirby from the Frederick National Laboratory for Cancer Research (FNLCR). Amazon SageMaker Studio Lab provides no-cost access to a machine learning (ML) development environment to everyone with an email… Read More »Share medical image research on Amazon SageMaker Studio Lab for free Stephen Aylward AWS Machine Learning Blog

​Posted by Sanjiv Kumar, VP and Google Fellow, Google Research (This is Part 4 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) The explosion in deep learning a decade ago was… Read More »Google Research, 2022 & beyond: Algorithms for efficient deep learning Google AI Google AI Blog

​ Posted by Hannes Hapke and Robert Crowe To produce production-level machine learning models, TensorFlow provides a portfolio of libraries under the umbrella of TensorFlow Extended (TFX). With just a pip install, TFX already includes a number of versatile pipeline components – referred to as… Read More »Extend your TFX pipeline with TFX-Addons noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

​ Amazon SageMaker has announced the support of three new completion criteria for Amazon SageMaker automatic model tuning, providing you with an additional set of levers to control the stopping criteria of the tuning job when finding the best hyperparameter configuration for your model. In this post,… Read More »Amazon SageMaker Automatic Model Tuning now supports three new completion criteria for hyperparameter optimization Doug Mbaya AWS Machine Learning Blog

​ Doctors rarely make diagnoses based on a single factor — they look at a mix of data types, such as a patient’s symptoms, laboratory and radiology reports, and medical history. VinBrain, a Vietnam-based health-tech startup, is ensuring that AI diagnostics can take a similarly… Read More »Vietnam’s VinBrain Deploys Healthcare AI Models to 100+ Hospitals Renee Yao – Archives Page 1 | NVIDIA Blog

​ Artificial intelligence is now a part of the quest to find extraterrestrial life. Researchers have developed an AI system that outperforms traditional methods in the search for alien signals. And early results were intriguing enough to send scientists back to their radio telescopes for… Read More »AI Joins Hunt for ET: Study Finds 8 Potential Alien Signals Brian Caulfield – Archives Page 1 | NVIDIA Blog