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SEATTLE & REDMOND, Wash.--(BUSINESS WIRE)--Today, Amazon Web Services Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), and Microsoft Corp. (NASDAQ: MSFT) announced a new deep learning library, called ...
Amazon Web Services Inc. says it’s trying to break down accessibility barriers around machine learning technology and make it possible for anyone who’s interested to become an expert in the field. To ...
AWS DeepLens is the world’s first deep learning-enabled wireless video camera built to give developers hands-on experience with machine learning Amazon Transcribe, Amazon Translate, Amazon Comprehend, ...
AWS Unveils Gemini, a Distributed Training System for Swift Failure Recovery in Large Model Training
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Customers of Amazon Web Services looking for easier ways to get their deep-learning models into production will be able to take advantage of a new service based around Docker containers. Matt Wood, ...
As the use of machine learning grows and gains complexity, the cost and time of training models can be challenging for enterprises. Amazon Web Services Inc. announced that its Amazon EC2 cloud ...
Amazon Web Services and Microsoft have teamed up to launch an open-source, deep learning library called Gluon that the companies say will make machine learning accessible to more developers. The next ...
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The popularity of that toolkit has been recognized by Amazon AWS, the world's biggest clouding computing provider, and the two companies Tuesday announced a partnership to combine Transformers with ...
New open source deep learning interface allows developers to more easily and quickly build machine learning models without compromising training performance. Jointly developed reference specification ...
New open source deep learning interface allows developers to more easily and quickly build machine learning models without compromising training performance. Jointly developed reference specification ...
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