Amazon EC2 Inf1 instances featuring AWS Inferentia chips now available in five new Regions and with improved performance
Following strong customer demand, AWS has expanded the availability of Amazon EC2 Inf1 instances to five new Regions: US East (Ohio), Asia Pacific (Sydney, Tokyo), and Europe (Frankfurt, Ireland). Inf1 instances are powered by AWS Inferentia chips, which Amazon custom-designed to provide you with the lowest cost per inference in the cloud and lower barriers […]
Amazon Comprehend Custom Classification API enables you to easily build custom text classification models using your business-specific labels without learning ML. For example, your customer support organization can use Custom Classification to automatically categorize inbound requests by problem type based on how the customer has described the issue. You can use custom classifiers to automatically label […]
Many organizations use Amazon SageMaker for their machine learning (ML) requirements and source data from a data lake stored on Amazon Simple Storage Service (Amazon S3). The petabyte scale source data on Amazon S3 may not always be clean because data lakes ingest data from several source systems, such as like flat files, external feeds, […]
With the 2020 football season kicking off, Amazon Web Services (AWS) is continuing its work with the National Football League (NFL) on several ongoing game-changing initiatives. Specifically, the NFL and AWS are teaming up to develop state-of-the-art cloud technology using machine learning (ML) aimed at aiding the officiating process through real-time football detection. As a […]
Products and Case Studies
AWS - Machine Learning - Amazon SageMaker
Machine learning for every developer and data scientist.
Zocdoc uses TensorFlow to match patients to doctors, reducing the wait time for appointments.Save to Library
Formula 1 Accelerates Cloud Transformation by Moving to AWSSave to Library
Speeding Development through Faster Deep-Learning ModelingSave to Library
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