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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One of the primary benefits of using memory mapping (MMAP) in applications is saving memory on the client, sharing data amongst multiple threads and processes, and reducing file system impact to the application. Users are constantly looking …
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You might associate the phrase ‘Jupyter Notebooks in production’ with a scrappy startup short on engineers or a hobbyist tinkering in their free time. However, this story unfolds at Amazon, where a team transitioned from requiring software …
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Balancing fixed budgets with fluctuating HPC needs is challenging. Discover a customizable solution for automatically setting weekly resource limits based on previous spending. Read the Post on the AWS Blog Channel
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Today we look at how Citi Innovation Labs is exploring quantum computing for portfolio optimization in partnership with Classiq and AWS. Their research examines how adjustments to the QAOA algorithm’s penalty factor impact performance. Read …
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Business-critical applications frequently require high availability to meet Service Level Agreements (SLAs). In addition, users are challenged by compliance requirements and disaster recovery plans to assure workload availability. In many …
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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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