image6

Unsupervised and semi-supervised anomaly detection with data-centric ML

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

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 behaviors in financial transactions, or network security threats. Depending on …

Read more “Unsupervised and semi-supervised anomaly detection with data-centric ML”

ML 12579 image 01

Optimize your machine learning deployments with auto scaling on Amazon SageMaker

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

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 that serves your business requirement. Building ML models involves preparing the …

Read more “Optimize your machine learning deployments with auto scaling on Amazon SageMaker”

Neural network trained using a diverse dataset outperforms conventionally trained algorithms

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Artificially intelligent neural networks, trained by images and videos available on the internet, can recognize faces, objects, and more. But there’s a serious drawback. Teaching machine learning algorithms how to identify people or items by relying solely on the visual library of faces and objects found online underrepresents socioeconomic and demographic groups.

4 Surprises From Analyzing Holiday E-commerce Campaigns

by AI Generated Robotic ContentTextPosted on Comments are Disabled

Holiday e-commerce campaigns can be … weird. The language and narratives that tend to thrive in retail campaigns can let you down at key calendar moments like Valentine’s Day, Mother’s Day, and Black Friday. Tried-and-true approaches don’t always produce the highest performance. We saw that loud and clear when we examined e-commerce campaigns looking for …

Read more “4 Surprises From Analyzing Holiday E-commerce Campaigns”

lockup GoogleResearch FullColor Hero

Google Research, 2022 & beyond: Algorithms for efficient deep learning

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

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 catapulted in part by the convergence of new algorithms and …

Read more “Google Research, 2022 & beyond: Algorithms for efficient deep learning”

AWS TCIA itkWidgets

Share medical image research on Amazon SageMaker Studio Lab for free

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

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 address. Like the fully featured Amazon SageMaker Studio, Studio Lab allows …

Read more “Share medical image research on Amazon SageMaker Studio Lab for free”