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Remove Your Limits: This AI Approach Uses Diffusion Models to Enable Open-Vocabulary Object Segmentation Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

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​ Object segmentation is a cornerstone problem of the computer vision field. It is used in many applications, from autonomous driving to surveillance to robotics. The goal here is to accurately identify the boundaries of objects in an image and assign a label to each… Read More »Remove Your Limits: This AI Approach Uses Diffusion Models to Enable Open-Vocabulary Object Segmentation Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

Amazon Comprehend document classifier adds layout support for higher accuracy Anjan Biswas AWS Machine Learning Blog

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​ The ability to effectively handle and process enormous amounts of documents has become essential for enterprises in the modern world. Due to the continuous influx of information that all enterprises deal with, manually classifying documents is no longer a viable option. Document classification models… Read More »Amazon Comprehend document classifier adds layout support for higher accuracy Anjan Biswas AWS Machine Learning Blog

Meta AI Open-Sources DINOv2: A New AI Method for Training High-Performance Computer Vision Models Based on Self-Supervised Learning Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

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​ Due to recent developments in AI, foundational computer vision models may now be pretrained using massive datasets. Producing general-purpose visual features, or features that function across picture distributions and jobs without fine-tuning, might considerably simplify the usage of images in any system, and these… Read More »Meta AI Open-Sources DINOv2: A New AI Method for Training High-Performance Computer Vision Models Based on Self-Supervised Learning Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

Responsible AI at Google Research: Technology, AI, Society and Culture Google AI Google AI Blog

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​Posted by Lauren Wilcox, Senior Staff Research Scientist, on behalf of the Technology, AI, Society and Culture Team Google sees AI as a foundational and transformational technology, with recent advances in generative AI technologies, such as LaMDA, PaLM, Imagen, Parti, MusicLM, and similar machine learning… Read More »Responsible AI at Google Research: Technology, AI, Society and Culture Google AI Google AI Blog

Responsible AI at Google Research: Technology, AI, Society and Culture Google AI Google AI Blog

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​Posted by Lauren Wilcox, Senior Staff Research Scientist, on behalf of the Technology, AI, Society and Culture Team Google sees AI as a foundational and transformational technology, with recent advances in generative AI technologies, such as LaMDA, PaLM, Imagen, Parti, MusicLM, and similar machine learning… Read More »Responsible AI at Google Research: Technology, AI, Society and Culture Google AI Google AI Blog

Responsible AI at Google Research: Technology, AI, Society and Culture Google AI Google AI Blog

  • by

​Posted by Lauren Wilcox, Senior Staff Research Scientist, on behalf of the Technology, AI, Society and Culture Team Google sees AI as a foundational and transformational technology, with recent advances in generative AI technologies, such as LaMDA, PaLM, Imagen, Parti, MusicLM, and similar machine learning… Read More »Responsible AI at Google Research: Technology, AI, Society and Culture Google AI Google AI Blog

Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time Mark Roy AWS Machine Learning Blog

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​ Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services. ML models make predictions given a set of input data known as features, and data… Read More »Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time Mark Roy AWS Machine Learning Blog

Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time Mark Roy AWS Machine Learning Blog

  • by

​ Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services. ML models make predictions given a set of input data known as features, and data… Read More »Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time Mark Roy AWS Machine Learning Blog

How Sportradar used the Deep Java Library to build production-scale ML platforms for increased performance and efficiency Fred Wu AWS Machine Learning Blog

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​ This is a guest post co-written with Fred Wu from Sportradar. Sportradar is the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on… Read More »How Sportradar used the Deep Java Library to build production-scale ML platforms for increased performance and efficiency Fred Wu AWS Machine Learning Blog