By PureAI Editors
By adding random noise to an image to be classified, and then removing the noise using a custom neural denoiser, standard image classification models are less likely to be successfully attacked.
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By John K. Waters
Amazon Web Services packs SageMaker machine learning service with nine new capabilities.
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By John K. Waters
Facebook AI has created a single algorithm that can excel at both chess and poker.
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By John K. Waters
The Apache TVM open source machine learning compiler framework for CPUs, GPUs, and specialized accelerators has graduated to Top-Level Project (TLP) status within the Apache Software Foundation.
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By John K. Waters
Amazon debuts AWS Trainium, a new custom machine learning (ML) chip.
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By PureAI Editors
The Pure AI Editors explain two different approaches to solving the surprisingly difficult problem of computing the similarity -- or "distance" -- between two machine learning datasets, useful for prediction model training and more.
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By John K. Waters
Applying a principle of the brain called "sparsity" in a proof-of-concept demonstration, Numenta achieved significant acceleration and power efficiencies for a variety of DL platforms and network configuration.
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By John K. Waters
AI startup DarwinAI collaborates with open-source leader Red Hat to accelerate the deployment of a suite of deep neural networks for COVID-19 detection and risk stratification via chest radiography.
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By PureAI Editors
"I think it's safe to say that the application of ML techniques to biology scenarios will bring new breakthroughs, some of which will be very surprising and unexpected," says a machine learning expert.
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