Favorite In the rapidly evolving world of AI and machine learning (ML), foundation models (FMs) have shown tremendous potential for driving innovation and unlocking new use cases. However, as organizations increasingly harness the power of FMs, concerns surrounding data privacy, security, added cost, and compliance have become paramount. Regulated and
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Shared by AWS Machine Learning September 28, 2023
Favorite In the world of data-driven decision-making, time series forecasting is key in enabling businesses to use historical data patterns to anticipate future outcomes. Whether you are working in asset risk management, trading, weather prediction, energy demand forecasting, vital sign monitoring, or traffic analysis, the ability to forecast accurately is
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Shared by AWS Machine Learning September 28, 2023
Favorite We’re excited to announce that Amazon SageMaker Canvas now offers a quicker and more user-friendly way to create machine learning models for time-series forecasting. SageMaker Canvas is a visual point-and-click service that enables business analysts to generate accurate machine learning (ML) models without requiring any machine learning experience or having to write
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Shared by AWS Machine Learning September 28, 2023
Favorite This post is co-written with Ilan Geller and Shuyu Yang from Accenture. Enterprises today face major challenges when it comes to using their information and knowledge bases for both internal and external business operations. With constantly evolving operations, processes, policies, and compliance requirements, it can be extremely difficult for
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Shared by AWS Machine Learning September 28, 2023
Favorite Posted by Zhengqi Li and Noah Snavely, Research Scientists, Google Research A mobile phone’s camera is a powerful tool for capturing everyday moments. However, capturing a dynamic scene using a single camera is fundamentally limited. For instance, if we wanted to adjust the camera motion or timing of a
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Shared by Google AI Technology September 28, 2023
Favorite We’re announcing Google-Extended, a new control that web publishers can use to manage whether their sites help improve Bard and Vertex AI generative APIs, including futu… View Original Source (blog.google/technology/ai/) Here.
Favorite Ramnath Kumar, Pre-Doctoral Researcher, and Arun Sai Suggala, Research Scientist, Google Research Deep neural networks (DNNs) have become essential for solving a wide range of tasks, from standard supervised learning (image classification using ViT) to meta-learning. The most commonly-used paradigm for learning DNNs is empirical risk minimization (ERM), which
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Shared by Google AI Technology September 28, 2023
Favorite The Open Source Summit Europe is a conference organized by the Linux Foundation with the goal of bringing together Open Source developers, technologists and community leaders to collaborate, share information, solve problems and gain knowledge. Last week, the Open Source Initiative (OSI) was present at this event, driving three
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Shared by voicesofopensource September 28, 2023
Favorite MDaudit provides a cloud-based billing compliance and revenue integrity software as a service (SaaS) platform to more than 70,000 healthcare providers and 1,500 healthcare facilities, ensuring healthcare customers maintain regulatory compliance and retain revenue. Working with the top 60+ US healthcare networks, MDaudit needs to be able to scale
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Shared by AWS Machine Learning September 27, 2023
Favorite The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon Warehouses across Europe and the MENA region. The design and deployment processes of projects involve many types of Requests for Information (RFIs) about engineering requirements regarding Amazon and project-specific guidelines. These requests
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Shared by AWS Machine Learning September 27, 2023
Shared by AWS Machine Learning September 28, 2023
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