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Favorite In this post, we discuss best practices to improve the performance of your computer vision models using Amazon Rekognition Custom Labels. Rekognition Custom Labels is a fully managed service to build custom computer vision models for image classification and object detection use cases. Rekognition Custom Labels builds off of the
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Shared by AWS Machine Learning September 10, 2022
Favorite The last few years have seen rapid development in the field of natural language processing (NLP). Although hardware has improved, such as with the latest generation of accelerators from NVIDIA and Amazon, advanced machine learning (ML) practitioners still regularly encounter issues deploying their large language models. Today, we announce
Read More Shared by AWS Machine Learning September 10, 2022
Favorite Posted by Yuxiang Yang, Student Researcher, Robotics at Google An important promise for quadrupedal robots is their potential to operate in complex outdoor environments that are difficult or inaccessible for humans. Whether it’s to find natural resources deep in the mountains, or to search for life signals in heavily-damaged
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Shared by Google AI Technology September 9, 2022
Favorite Posted by Zhengzhong Tu and Yinxiao Li, Software Engineers, Google Research Convolutional neural networks have been the dominant machine learning architecture for computer vision since the introduction of AlexNet in 2012. Recently, inspired by the evolution of Transformers in natural language processing, attention mechanisms have been prominently incorporated into
Read More Shared by Google AI Technology September 8, 2022
Favorite Many AWS customers have been successfully using Amazon Transcribe to accurately, efficiently, and automatically convert their customer audio conversations to text, and extract actionable insights from them. These insights can help you continuously enhance the processes and products that directly improve the quality and experience for your customers. In
Read More Shared by AWS Machine Learning September 8, 2022
Favorite Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various
Read More Shared by AWS Machine Learning September 8, 2022
Favorite We are slowly, but surely starting to return to in person events. Our next stop… The post OSI Executive Director to speak at Open Source Summit Europe first appeared on Voices of Open Source. Click Here to View Original Source (opensource.org)
Favorite When most people think of using machine learning (ML) with audio data, the use case that usually comes to mind is transcription, also known as speech-to-text. However, there are other useful applications, including using ML to detect sounds. Using software to detect a sound is called audio event detection,
Read More Shared by AWS Machine Learning September 7, 2022
Favorite The Tornado Cash case: Did the US Treasury censor code or illegal actions? The post Did the US Treasury censor code or illegal actions? first appeared on Voices of Open Source. Click Here to View Original Source (opensource.org)
Favorite Posted by Richard C. Gerkin, Google Research, and Alexander B. Wiltschko, Google Did you ever try to measure a smell? …Until you can measure their likenesses and differences you can have no science of odor. If you are ambitious to found a new science, measure a smell. — Alexander
Read More Shared by Google AI Technology September 6, 2022