Favorite Explainability of machine learning (ML) models used in the medical domain is becoming increasingly important because models need to be explained from a number of perspectives in order to gain adoption. These perspectives range from medical, technological, legal, and the most important perspective—the patient’s. Models developed on text in
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Shared by AWS Machine Learning August 22, 2023
Favorite Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed. Usually, if the dataset or
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Shared by AWS Machine Learning August 22, 2023
Favorite (Thanks to Paloma Oliveira for this contribution!) Reflecting on how to improve our open communities Navigating uncharted waters often leads to intriguing discoveries. Imagine immersing yourself in a realm that commemorates a quarter-century of Open Source accomplishment. Invited by Open Source Initiative (OSI) to reflect upon the 25 years
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Shared by voicesofopensource August 22, 2023
Favorite You are invited to take part in the 2023 Knoco global survey of KM. What is this survey? This is a survey of what organisations around the world are doing under the heading of “Knowledge Management”. This is the 4th survey in a series; the previous surveys were held
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Shared by Nick Milton August 21, 2023
Favorite Amazon SageMaker Data Wrangler reduces the time it takes to collect and prepare data for machine learning (ML) from weeks to minutes. You can streamline the process of feature engineering and data preparation with SageMaker Data Wrangler and finish each stage of the data preparation workflow (including data selection,
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Shared by AWS Machine Learning August 21, 2023
Favorite Posted by Catherine Armato, Program Manager, Google This week, the 24th Annual Conference of the International Speech Communication Association (INTERSPEECH 2023) is being held in Dublin, Ireland, representing one of the world’s most extensive conferences on research and technology of spoken language understanding and processing. Experts in speech-related research
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Shared by Google AI Technology August 21, 2023
Favorite Posted by Ziniu Hu, Student Researcher, and Alireza Fathi, Research Scientist, Google Research, Perception Team There has been great progress towards adapting large language models (LLMs) to accommodate multimodal inputs for tasks including image captioning, visual question answering (VQA), and open vocabulary recognition. Despite such achievements, current state-of-the-art visual
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Shared by Google AI Technology August 18, 2023
Favorite Posted by Hussein Hazimeh, Research Scientist, Athena Team, and Riade Benbaki, Graduate Student at MIT Modern neural networks have achieved impressive performance across a variety of applications, such as language, mathematical reasoning, and vision. However, these networks often use large architectures that require lots of computational resources. This can
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Shared by Google AI Technology August 17, 2023
Favorite MLOps is a key discipline that often oversees the path to productionizing machine learning (ML) models. It’s natural to focus on a single model that you want to train and deploy. However, in reality, you’ll likely work with dozens or even hundreds of models, and the process may involve
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Shared by AWS Machine Learning August 17, 2023
Favorite Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker, a fully managed ML service, with requirements to
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Shared by AWS Machine Learning August 17, 2023