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How Caris Life Sciences processed 400,000 RNAseq samples in 2.5 days with AWS Batch

In the race to deliver precision medicine, time is of the essence. Caris Life Sciences, a pioneer in this field, leveraged AWS Batch to build a highly scalable solution that processed hundreds of thousands of genomic samples in record time. …

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Smashing computational barriers: data-driven ball-impact modeling on AWS

Elevate your engineering capabilities with lightning-fast impact prediction. Our new blog post delves into how advanced ML models, like U-Nets and Fourier Neural Operators, are revolutionizing transient response forecasting for critical …

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Scalable Cryo-EM on AWS Parallel Computing Service (PCS)

Cryogenic electron microscopy (Cryo-EM) allows drug discovery researchers to determine the three-dimensional structures of molecules critical to drug discovery. As Cryo-EM adoption has increased, scientists and IT owners have looked for …

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Integrating Research and Engineering Studio in Trusted Research Environments built on AWS

Explore how Research and Engineering Studio on AWS (RES) enables admins to build Trusted Research Environments (TREs) with built-in security and compliance controls. Learn more in our latest blog post.

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Run protein folding on AWS with Quantori

Curious about running AI-powered protein folding analyses on AWS? Quantori’s new solution makes it easy to test generative models and visualize results in your own cloud environment.

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Unlock large-scale autonomous driving simulations on AWS with IPG

Discover how AWS Batch’s multi-container features enable large-scale AV/ADAS simulations with the IPG CarMaker simulator. Learn about the challenges of integrating complex, interdependent vehicle systems.

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Winners announced in the Airbus-BMW Group Quantum Computing Challenge

This post was contributed by Damian Steiger, Martin Schuetz, Alexander Opfolter, and Helmut Katzgraber The five winning teams of the Airbus and BMW Group Quantum Computing Challenge were announced today at the Q2B conference in Silicon …

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How BAM supercharged large scale research with AWS Batch

Balyasny Asset Management (BAM), a $22B global investment firm, faced a unique challenge: how to empower 160 investment teams to conduct cutting-edge research across six strategies. Discover how they leveraged AWS Batch and Amazon EKS to …

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    Reservoir computing on an analog Rydberg-atom quantum computer
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