Favorite This post is co-written with Mahima Agarwal, Machine Learning Engineer, and Deepak Mettem, Senior Engineering Manager, at VMware Carbon Black VMware Carbon Black is a renowned security solution offering protection against the full spectrum of modern cyberattacks. With terabytes of data generated by the product, the security analytics team
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Shared by AWS Machine Learning March 14, 2023
Favorite Introducing new generative AI capabilities in Google Cloud and Google Workspace, plus PaLM API and MakerSuite for developers. View Original Source (blog.google/technology/ai/) Here.
Favorite There are only four generic barriers to KM. These are they, and all can be addressed. The Boston Square shown here maps the unwillingness and the inability that can affect the knowledge supplier, and the knowledge user. Any combination of these is a block to the transfer of knowledge from one
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Shared by Nick Milton March 13, 2023
Favorite Online fraud has a widespread impact on businesses and requires an effective end-to-end strategy to detect and prevent new account fraud and account takeovers, and stop suspicious payment transactions. Detecting fraud closer to the time of fraud occurrence is key to the success of a fraud detection and prevention
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Shared by AWS Machine Learning March 11, 2023
Favorite In this two-part series, we demonstrate how to label and train models for 3D object detection tasks. In part 1, we discuss the dataset we’re using, as well as any preprocessing steps, to understand and label data. In part 2, we walk through how to train a model on
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Shared by AWS Machine Learning March 11, 2023
Favorite Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon SageMaker Studio. Data Wrangler enables you to access data from a wide variety of popular sources (Amazon S3, Amazon Athena, Amazon Redshift, Amazon EMR and Snowflake)
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Shared by AWS Machine Learning March 11, 2023
Favorite Posted by Danny Driess, Student Researcher, and Pete Florence, Research Scientist, Robotics at Google Recent years have seen tremendous advances across machine learning domains, from models that can explain jokes or answer visual questions in a variety of languages to those that can produce images based on text descriptions.
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Shared by Google AI Technology March 10, 2023
Favorite As machine learning (ML) models have improved, data scientists, ML engineers and researchers have shifted more of their attention to defining and bettering data quality. This has led to the emergence of a data-centric approach to ML and various techniques to improve model performance by focusing on data requirements.
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Shared by AWS Machine Learning March 10, 2023
Favorite The AI landscape is being reshaped by the rise of generative models capable of synthesizing high-quality data, such as text, images, music, and videos. The course toward democratization of AI helped to further popularize generative AI following the open-source releases for such foundation model families as BERT, T5, GPT,
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Shared by AWS Machine Learning March 10, 2023
Favorite This Monday, I was in Brussels to attend a stakeholder workshop for the Digital Market Act (DMA) organized by the European Commission. For those who aren’t familiar with the DMA, it’s a new law that the European Parliament voted on recently and one of its goals is to force
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Shared by voicesofopensource March 9, 2023
Shared by AWS Machine Learning March 14, 2023
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