Amazon Web Services announced 13 new machine learning capabilities and services, across all layers in the machine learning stack, to help put machine learning in the hands of even more developers.
AWS introduced new Amazon SageMaker features making it easier for developers to build, train, and deploy machine learning models including low cost, automatic data labeling and reinforcement learning (RL). The company revealed new services, framework enhancements, and a custom chip to speed up machine learning training and inference, while reducing cost.
They have also announced new AI services that can extract text from virtually any document, read medical information, and provide customized personalization, recommendations, and forecasts using the same technology used by Amazon.com. Also, AWS will help developers get rolling with machine learning with DeepRacer, a new 1/18th scale autonomous model race car for developers, driven by reinforcement learning.
These announcements continue the drum beat of machine learning innovation from AWS, which has launched more than 200 significant machine learning capabilities in the past 12 months. “We want to help all of our customers embrace machine learning, no matter their size, budget, experience, or skill level,“ said Swami Sivasubramanian, Vice President, Amazon Machine Learning. “Today’s announcements remove significant barriers to the successful adoption of machine learning by reducing the cost of training and inference.“
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