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Enabling state-of-the-art quantum algorithms with Qedma’s error mitigation and IonQ, using Braket Direct

The story of how Qedma used Amazon Braket Direct for dedicated access to IonQ hardware to execute milestone VQE circuits. This post details leveraging reservations and collaborating directly with experts. An exciting look at accelerating …

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Using large-language models for ESG sentiment analysis using Databricks on AWS

ESG is now a boardroom issue. See how Databricks’ AI solution helps understand emissions data and meet new regulations. Read the Post on the AWS Blog Channel

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Improve the speed and cost of HPC deployment with Mountpoint for Amazon S3

Don’t sacrifice performance OR ease of use with your HPC storage. Learn how Mountpoint for Amazon S3 combines high throughput and low latency with the simplicity of S3. Read the Post on the AWS Blog Channel

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Accelerating agent-based simulation for autonomous driving

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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Performance tools Pt3 - RPATH, RUNPATH, and the loader

Welcome to the world of dynamically linked libraries and all the fun involved in predicting - and then manipulating - which libraries your binaries see and use … all so you can get the results and performance you expect. Dr Stephen …

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Explainable AI using expressive Boolean formulas

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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How agent-based models powered by HPC are enabling large scale economic simulations

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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Optimizing MMAP workloads on Amazon FSx for Lustre file systems

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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