AWS is powering the future of self-driving cars. Check out this post to see how high performance computing is transforming agent-based models for the CARLA RAI Challenge. Read the Post on the AWS Blog Channel
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ML models driving high-stakes decisions need interpretability. See how the Amazon QSL and Fidelity FCAT developed interpretable models based on Boolean logic. Read the Post on the AWS Blog Channel
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See how agent-based models, driven to scale by HPC in the cloud, are shedding new light on macroprudential policies with this post from Oxford’s Institute for New Economic Thinking. Read the Post on the AWS Blog Channel
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Companies from different industries use data to help their Artificial Intelligence (AI) and Machine Learning (ML) systems make intelligent decisions. For ML systems to work well, it is crucial to make sure that the massive datasets used for …
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Nextflow is popular workflow framework for genomics pipelines, but did you know you can also use it for machine-learning? ML is already being used for medical imaging, protein folding, drug discovery, and gene editing. In this post, we …
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Recent advancements in machine learning (ML) have unlocked opportunities for customers across organizations of all sizes and industries to reinvent new products and transform their businesses. However, the growth in demand for GPU capacity …
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Today we’ll help you understand agent-based models and their potential to impact the environment and socio-economic systems. We’ll explore a few use cases and show how ABMs can improve our comprehension of environmental and social decision …
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Many organizations need a high-performance shared file system that they can access simultaneously from Linux and Windows, despite different permission models across the platforms. For example, a media and entertainment enterprise may render …
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