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
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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
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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
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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,
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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
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Shared by Google AI Technology September 6, 2022
Favorite In this episode, Stefano Maffulli, executive director of the Open Source Initiative, and David Gray Widder, a Ph.D. student at Carnegie Mellon University, discuss David’s research and findings on ethics in artificial intelligence and, in particular, the challenges software engineers face related to trust and ethics in AI. The
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Shared by voicesofopensource September 6, 2022
Favorite Most of us are familiar with the SECI model from Nonaka and Takeuchi, but sometimes forget that C stands for Combination, not Collection. Image from wikimedia commons The Nonaka and Takeuchi SECI model for knowledge development is well known in the KM world, with its 4 components of Socialisation,
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Shared by Nick Milton September 5, 2022
Favorite Distributed deep learning model training is becoming increasingly important as data sizes are growing in many industries. Many applications in computer vision and natural language processing now require training of deep learning models, which are growing exponentially in complexity and are often trained with hundreds of terabytes of data.
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Shared by AWS Machine Learning September 3, 2022
Shared by Google AI Technology September 8, 2022
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