Favorite The AWS global backbone network is the critical foundation enabling reliable and secure service delivery across AWS Regions. It connects our 34 launched Regions (with 108 Availability Zones), our more than 600 Amazon CloudFront POPs, and 41 Local Zones and 29 Wavelength Zones, providing high-performance, ultralow-latency connectivity for mission-critical
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Shared by AWS Machine Learning January 16, 2025
Favorite GraphStorm is a low-code enterprise graph machine learning (GML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which
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Shared by AWS Machine Learning August 2, 2024
Favorite Eviden is a next-gen technology leader in data-driven, trusted, and sustainable digital transformation. With a strong portfolio of patented technologies and worldwide leading positions in advanced computing, security, AI, cloud, and digital platforms, Eviden provides deep expertise for a multitude of industries in more than 47 countries. Eviden is
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Shared by AWS Machine Learning July 8, 2024
Favorite Originally PyTorch used an eager mode where each PyTorch operation that forms the model is run independently as soon as it’s reached. PyTorch 2.0 introduced torch.compile to speed up PyTorch code over the default eager mode. In contrast to eager mode, the torch.compile pre-compiles the entire model into a single graph
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Shared by AWS Machine Learning July 2, 2024
Favorite This is a guest post co-authored with Ville Tuulos (Co-founder and CEO) and Eddie Mattia (Data Scientist) of Outerbounds. To build a production-grade AI system today (for example, to do multilingual sentiment analysis of customer support conversations), what are the primary technical challenges? Historically, natural language processing (NLP) would
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Shared by AWS Machine Learning April 30, 2024
Favorite Posted by Urs Köster, Software Engineer, Google Research Time series problems are ubiquitous, from forecasting weather and traffic patterns to understanding economic trends. Bayesian approaches start with an assumption about the data’s patterns (prior probability), collecting evidence (e.g., new time series data), and continuously updating that assumption to form
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Shared by Google AI Technology March 28, 2024
Favorite Posted by Dave Hawkey, Software Engineer, Google Research Two years ago we announced Project Guideline, a collaboration between Google Research and Guiding Eyes for the Blind that enabled people with visual impairments (e.g., blindness and low-vision) to walk, jog, and run independently. Using only a Google Pixel phone and
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Shared by Google AI Technology November 21, 2023
Favorite Posted by Chintan Ghate, Software Engineer, and Diana Mincu, Research Engineer, Google Research As consumer technologies like fitness trackers and mobile phones become more widely used for health-related data collection, so does the opportunity to leverage these data pathways to study and advance our understanding of medical conditions. We
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Shared by Google AI Technology November 10, 2023
Favorite Over the 25 years of OSI operation, our understanding of what makes an Open Source license successful, and what things cause problems, has evolved considerably. Ideas that were interesting experiments in 2002 have been shown not to work, and provisions like patent grants have been shown to be necessary.
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Shared by voicesofopensource October 3, 2023
Favorite For modern companies that deal with enormous volumes of documents such as contracts, invoices, resumes, and reports, efficiently processing and retrieving pertinent data is critical to maintaining a competitive edge. However, traditional methods of storing and searching for documents can be time-consuming and often result in a large effort
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Shared by AWS Machine Learning September 8, 2023
Shared by AWS Machine Learning January 16, 2025
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