Check out our latest blog to learn how we implemented a cost-effective development cycle for training a hybrid quantum-classical algorithm using Amazon Braket and hyperparameter optimization. Read the Post on the AWS Blog Channel
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What’s the best way to select sensors to capture key data for your digital twin without overspending? Check out our latest blog post on using ML and sensitivity studies to optimize sensor selection. Read the Post on the AWS Blog Channel
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Research and Engineering Studio on AWS (RES) is a new product from the HPC team at AWS built for scientists and engineering users who just want to get on with doing their R&D work, without having to know the fiddly details of launching …
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Running big research jobs on AWS but not sure where to start? We break down options like Batch, ECS, EKS, and others to pick the right tool for your needs. Lots of examples for genomics, ML, engineering, and more! Read the Post on the AWS …
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Feel limited by the computing resources available to you locally? Are you looking for ways to supercharge your research and engineering projects? This tech short video introduces powerful cloud-based tools that can help you achieve the near …
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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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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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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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