100 things we announced at I/O 2023
Favorite Google I/O 2023 was filled with news and launches — here are 100 things announced at I/O. View Original Source (blog.google/technology/ai/) Here.
The Cyber Resilience Act introduces uncertainty and risk leaving Open Source projects confused
Favorite What might happen if the uncertainty persists around who is held responsible under the Cyber Resilience Act (CRA)? The global Open Source community is averse to legal risks and generally lacks access to counsel, so it’s very possible offers of source code will simply be withdrawn rather than seeking
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Shared by voicesofopensource May 11, 2023
The vital role of Open Source maintainers facing the Cyber Resilience Act
Favorite This year’s Maintainer Month feels different given what’s happening with the European Cyber Resilience Act. Their role is under more pressure than usual and yet, it’s often misunderstood. Open Source maintainers are the cornerstone of collaborative software development. They dedicate their time and expertise to ensure the smooth functioning
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Schedule your notebooks from any JupyterLab environment using the Amazon SageMaker JupyterLab extension
Favorite Jupyter notebooks are highly favored by data scientists for their ability to interactively process data, build ML models, and test these models by making inferences on data. However, there are scenarios in which data scientists may prefer to transition from interactive development on notebooks to batch jobs. Examples of
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Shared by AWS Machine Learning May 10, 2023
Announcing new Jupyter contributions by AWS to democratize generative AI and scale ML workloads
Favorite Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. The Jupyter Notebook, first released in 2011, has become a de facto standard tool used by millions of users worldwide across every possible academic, research, and
Read More Shared by AWS Machine Learning May 10, 2023
Publish predictive dashboards in Amazon QuickSight using ML predictions from Amazon SageMaker Canvas
Favorite Understanding business trends, customer behavior, sales revenue, increase in demand, and buyer propensity all start with data. Exploring, analyzing, interpreting, and finding trends in data is essential for businesses to achieve successful outcomes. Business analysts play a pivotal role in facilitating data-driven business decisions through activities such as the
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How Sleepme uses Amazon SageMaker for automated temperature control to maximize sleep quality in real time
Favorite This is a guest post co-written with Trey Robinson, CTO at Sleepme Inc. Sleepme is an industry leader in sleep temperature management and monitoring products, including an Internet of Things (IoT) enabled sleep tracking sensor suite equipped with heart rate, respiration rate, bed and ambient temperature, humidity, and pressure
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Reduce Amazon SageMaker inference cost with AWS Graviton
Favorite Amazon SageMaker provides a broad selection of machine learning (ML) infrastructure and model deployment options to help meet your ML inference needs. It’s a fully-managed service and integrates with MLOps tools so you can work to scale your model deployment, reduce inference costs, manage models more effectively in production,
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Amazon SageMaker with TensorBoard: An overview of a hosted TensorBoard experience
Favorite Today, data scientists who are training deep learning models need to identify and remediate model training issues to meet accuracy targets for production deployment, and require a way to utilize standard tools for debugging model training. Among the data scientist community, TensorBoard is a popular toolkit that allows data
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Operationalize ML models built in Amazon SageMaker Canvas to production using the Amazon SageMaker Model Registry
Favorite You can now register machine learning (ML) models built in Amazon SageMaker Canvas with a single click to the Amazon SageMaker Model Registry, enabling you to operationalize ML models in production. Canvas is a visual interface that enables business analysts to generate accurate ML predictions on their own—without requiring
Read More Shared by AWS Machine Learning May 10, 2023