Favorite Many organizations use Gmail for their business email needs. Gmail for Business is part of Google Workspace, which provides a set of productivity and collaboration tools like Google Drive, Google Docs, Google Sheets, and more. For any organization, emails contain a wealth of information, which could be within the
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Shared by AWS Machine Learning April 25, 2023
Favorite We recently introduced a new capability in the Amazon SageMaker Python SDK that lets data scientists run their machine learning (ML) code authored in their preferred integrated developer environment (IDE) and notebooks along with the associated runtime dependencies as Amazon SageMaker training jobs with minimal code changes to the
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Shared by AWS Machine Learning April 25, 2023
Favorite Posted by Yicheng Fan and Dana Alon, Software Engineers, Google Research Every byte and every operation matters when trying to build a faster model, especially if the model is to run on-device. Neural architecture search (NAS) algorithms design sophisticated model architectures by searching through a larger model-space than what
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Shared by Google AI Technology April 25, 2023
Favorite Organisations that work with Knowledge need a Knowledge workstream as well as a Product/Project workstream. But what are the outputs of this Knowledge workstream? I have blogged several times about the KM workstream you need in your organisation; the knowledge factory that runs alongside the product factory or the
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Shared by Nick Milton April 25, 2023
Favorite According to a PWC report, 32% of retail customers churn after one negative experience, and 73% of customers say that customer experience influences their purchase decisions. In the global retail industry, pre- and post-sales support are both important aspects of customer care. Numerous methods, including email, live chat, bots,
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Shared by AWS Machine Learning April 24, 2023
Favorite In the world of machine learning (ML), the quality of the dataset is of significant importance to model predictability. Although more data is usually better, large datasets with a high number of features can sometimes lead to non-optimal model performance due to the curse of dimensionality. Analysts can spend
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Shared by AWS Machine Learning April 24, 2023
Favorite Posted by Malaya Jules, Program Manager, Google This week, the Conference on Human Factors in Computing Systems (CHI 2023) is being held in Hamburg, Germany. We are proud to be a Hero Sponsor of CHI 2023, a premier conference on human-computer interaction, where Google researchers contribute at all levels.
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Shared by Google AI Technology April 23, 2023
Favorite Batch inference is a common pattern where prediction requests are batched together on input, a job runs to process those requests against a trained model, and the output includes batch prediction responses that can then be consumed by other applications or business functions. Running batch use cases in production
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Shared by AWS Machine Learning April 21, 2023
Favorite Posted by Ruofei Du, Interactive Perception & Graphics Lead, Google Augmented Reality, and Na Li, Tech Lead Manager, Google CoreML Recent deep learning advances have enabled a plethora of high-performance, real-time multimedia applications based on machine learning (ML), such as human body segmentation for video and teleconferencing, depth estimation
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Shared by Google AI Technology April 21, 2023
Favorite Bard can now help with programming and software development tasks, across more than 20 programming languages. View Original Source (blog.google/technology/ai/) Here.
Shared by AWS Machine Learning April 25, 2023
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