With genomics and multi-omics research generating more data than ever, the Open Omics Acceleration Framework from Intel Labs aims to provide a highly productive platform for researchers. Check out recent results in this new blog post. Read …
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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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Today is April Fool’s Day. About 10 years ago, some tech companies would joke about an idea that was thought to be fun and unfeasible on April 1st, to the delight of readers. Jeff Barr has also posted seemingly far-fetched ideas on this …
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In this new post you’ll learn how Arm-based AWS Graviton processors can accelerate Simulated Quantum Annealing for nonlinear optimization problems in quantum computing. Read the Post on the AWS Blog Channel
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Combinatorial optimization problems got you stumped? Check out our new blog exploring a hybrid algorithm that taps into quantum computing to recursively reduce complexity while ensuring feasible solutions. Read the Post on the AWS Blog …
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As we move towards a greener future, understanding wind energy’s climate impacts is key. Check out this blog post by our friends at Whiffle, to learn how large-scale simulations reveal wind power’s effect on our atmosphere. Read the Post on …
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Quantum error correction is key to building useful quantum computers. New research by Amazon & Caltech demonstrates a strategy that cuts the overhead of error correction. A lot. Read the Post on the AWS Blog Channel
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