Favorite Amazon Forecast now displays the estimated time it takes to complete an in-progress workflow for importing your data, training the predictor, and generating the forecast. You can now manage your time more efficiently and better plan for your next workflow around the estimated time remaining for your in-progress workflow.
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Shared by AWS Machine Learning April 23, 2021
Favorite Medical providers often need to analyze and dictate patient phone conversations, doctors’ notes, clinical trial reports, and patient health records. By automating transcription, providers can quickly and accurately provide patients with medical conditions, medication, dosage, strength, and frequency. Generic artificial intelligence-based transcription models can be used to transcribe voice
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Shared by AWS Machine Learning April 23, 2021
Favorite Amazon SageMaker Studio is a web-based fully integrated development environment (IDE) where you can perform end-to-end machine learning (ML) development to prepare data and build, train, and deploy models. Like other AWS services, Studio supports a rich set of security-related features that allow you to build highly secure and
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Shared by AWS Machine Learning April 23, 2021
Favorite A couple of years ago, Google AI for Social Good’s Bioacoustics team created a ML model that helps the scientific community detect the presence of humpback whale sounds using acoustic recordings. This tool, developed in partnership with the National Oceanic and Atmospheric Association, helps biologists study whale behaviors, patterns,
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Shared by Google AI Technology April 22, 2021
Favorite The book that led to my visit to Google. When I first visited Google back in 2002, I was a computer science professor at UC Berkeley. My colleague John Hennessey and I were updating our textbook on computer architecture, and Larry Page — who rode a hot-rodded electric scooter
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Shared by Google AI Technology April 21, 2021
Favorite Want to accelerate machine learning (ML) innovation in your organization? Join us for 30 days of new Amazon SageMaker content designed to help you build, train, and deploy ML models faster. On April 20, we’re kicking off 30 days of hands-on workshops, Twitch sessions, Slack chats, and partner perspectives.
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Shared by AWS Machine Learning April 21, 2021
Favorite You can now control the Amazon Virtual Private Cloud (Amazon VPC) and encryption settings for your Amazon Comprehend APIs using AWS Identity and Access Management (IAM) condition keys, and encrypt your Amazon Comprehend custom models using customer managed keys (CMK) via AWS Key Management Service (AWS KMS). IAM condition
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Shared by AWS Machine Learning April 20, 2021
Favorite There are three question to answer, to know whether you need KM. If you are considering whether to invest in Knowledge Management, there are three questions you need to ask. These are listed and explained below. Is knowledge a key business issue for you? If knowledge is an importabnt
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Shared by Nick Milton April 20, 2021
Favorite Customers often ask us how can they lower their costs when conducting deep learning training on AWS. Training deep learning models with libraries such as TensorFlow, PyTorch, and Apache MXNet usually requires access to GPU instances, which are AWS instances types that provide access to NVIDIA GPUs with thousands
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Shared by AWS Machine Learning April 15, 2021
Favorite In preparation for the upcoming Olympic Games, Intel®, an American multinational corporation and one of the world’s largest technology companies, developed a concept around 3D Athlete Tracking (3DAT). 3DAT is a machine learning (ML) solution to create real-time digital models of athletes in competition in order to increase fan
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Shared by AWS Machine Learning April 15, 2021
Shared by AWS Machine Learning April 23, 2021
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