Neural network trained using a diverse dataset outperforms conventionally trained algorithms

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

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 …

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

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 …

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Share medical image research on Amazon SageMaker Studio Lab for free

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 …

Vietnam’s VinBrain Deploys Healthcare AI Models to 100+ Hospitals

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 holistic view across vital signs, blood tests, medical images and more. …