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Favorite Posted by Weicheng Kuo and Anelia Angelova, Research Scientists, Google Research Detection is a fundamental vision task that aims to localize and recognize objects in an image. However, the data collection process of manually annotating bounding boxes or instance masks is tedious and costly, which limits the modern detection
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Shared by Google AI Technology May 12, 2023
Favorite Posted by Bryan Wang, Student Researcher, and Yang Li, Research Scientist, Google Research Intelligent assistants on mobile devices have significantly advanced language-based interactions for performing simple daily tasks, such as setting a timer or turning on a flashlight. Despite the progress, these assistants still face limitations in supporting conversational
Read More Shared by Google AI Technology May 12, 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.
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averse to legal risks and generally lacks access to counsel, so it’s very possible offers of source code will simply be withdrawn rather than seeking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
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
Read More Shared by voicesofopensource May 10, 2023
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
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
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
Read More Shared by AWS Machine Learning May 10, 2023
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
Read More Shared by AWS Machine Learning May 10, 2023
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,
Read More Shared by AWS Machine Learning May 10, 2023