Improve price performance of your model training using Amazon SageMaker heterogeneous clusters

This post is co-written with Chaim Rand from Mobileye. Certain machine learning (ML) workloads, such as training computer vision models or reinforcement learning, often involve combining the GPU- or accelerator-intensive task of neural network model training with the CPU-intensive task of data preprocessing, like image augmentation. When both types of

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Shared by AWS Machine Learning October 27, 2022

We are headed to All Things Open 2022

You can find the OSI in Downtown Raleigh, North Carolina October 31st through November 2nd… The post We are headed to All Things Open 2022 first appeared on Voices of Open Source. Click Here to View Original Source (opensource.org)

A new genome sequencing tool powered with our technology

Genome sequencing provides a more complete description of cells and organisms, allowing scientists to uncover serious genetic conditions such as the elevated risk for breast cancer or pulmonary arterial hypertension. While researching genomics has the potential to save lives and preserve people‚Äôs quality of life, it’s incredibly challenging work. Back

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Shared by Google AI Technology October 26, 2022

Run multiple deep learning models on GPU with Amazon SageMaker multi-model endpoints

As AI adoption is accelerating across the industry, customers are building sophisticated models that take advantage of new scientific breakthroughs in deep learning. These next-generation models allow you to achieve state-of-the-art, human-like performance in the fields of natural language processing (NLP), computer vision, speech recognition, medical research, cybersecurity, protein structure

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Shared by AWS Machine Learning October 25, 2022