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general:products/amazon-machine-learning

Amazon SageMaker Neo is now Available in 12 additional Regions

Source: AWS Amazon SageMaker Neo is now available in 12 additional regions – Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Seoul), Asia Pacific (Mumbai), Asia Pacific (Hong Kong), Canada (Central), EU (Frankfurt), EU (London), EU (Paris), EU (Stockholm), South America (Sao Paulo), US West (N. California). Amazon SageMaker Neo enables developers to train machine learning models once and run them anywhere in the cloud and at the edge. Amazon SageMaker Neo optimizes models to run up to twice as fast, with less than a tenth of the memory footprint, with no loss in accuracy.

Amazon Rekognition improves Face Analysis

Source: AWS Amazon Rekognition provides a comprehensive set of face detection, analysis, and recognition features for image and video analysis. Today, we are launching accuracy and functionality improvements to our face analysis features. Face analysis generates metadata about detected faces in the form of gender, age range, emotions, attributes such as ‘Smile’, face pose, face image quality and face landmarks. With this release, we have further improved the accuracy of gender identification. In addition, we have improved accuracy for emotion detection (for all 7 emotions: ‘Happy’, ‘Sad’, ‘Angry’, ‘Surprised’, ‘Disgusted’, ‘Calm’ and ‘Confused’) and added a new emotion: ‘Fear’. Lastly, we have improved age range estimation accuracy; you also get narrower age ranges across most age groups.&...

Amazon Rekognition now detects violence, weapons, and self-injury in images and videos; improves accuracy for nudity detection

Source: AWS Amazon Rekognition is a deep learning-based image and video analysis service that can identify objects, people, text, scenes, as well as support content moderation by detecting unsafe content. Starting today, you can detect content related to ‘Violence’ and ‘Visually Disturbing" themes, such as blood, wounds, weapons, self-injury, corpses, and more. Further, Amazon Rekognition’s ability to identify ‘Explicit Nudity’ and ‘Suggestive’ content has been improved through a 68% lower false positive rate and a 36% lower false negative rate (on average). Additionally, Amazon Rekognition now supports detection of new categories of adult content, such as unsafe anime or illustrated content, adult toys, and sheer clothing. 

Amazon SageMaker Neo is now Available in Asia Pacific – Tokyo

Source: AWS Amazon SageMaker Neo is now available in the Asia Pacific (Tokyo) region. Amazon SageMaker Neo enables developers to train machine learning models once and run them anywhere in the cloud and at the edge. Amazon SageMaker Neo optimizes models to run up to twice as fast, with less than a tenth of the memory footprint, with no loss in accuracy.