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Shaped (YC W22) Is Hiring

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in Computer Science or a related technical field. Infrastructure Oversight: Ensure the robustness of our cloud infrastructure, focusing on scalability, observability, and automation. Qualifications Educational Background: B.S.,

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Maybe Physics-Based AI Is the Right Approach: Revisiting the Foundations of Intelligence

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Sample Efficiency: Models exploiting physical priors achieve more with less data, a critical advantage in domains like healthcare and computational science. 2021) Neural Operator: Learning Maps Between Function Spaces , Kovachki et al. 2019) Lagrangian Neural Networks , Cranmer et al.

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Android Earthquake Alerts: A global system for early warning

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Learn more about our Philosophy Learn more Philosophy People Our researchers drive advancements in computer science through both fundamental and applied research. Learn more about our Projects Learn more Projects Publications Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.

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Building Watson: An Overview of the DeepQA Project (2010)

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Author Biographies Eric Nyberg, Carnegie Mellon University Professor Language Technologies Institute, School of Computer Science Nico Schlaefer, Carnegie Mellon University Language Technologies Institute, School of Computer Science Downloads PDF Published 2010-07-28 How to Cite Ferrucci, D., Chu-Carroll, J.,

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Fast and accurate zero-shot forecasting with Chronos-Bolt and AutoGluon

AWS Machine Learning Blog

In NeurIPS Track on Datasets and Benchmarks (2021). He holds a PhD in Computer Science and Electrical Engineering from IMTLucca (Italy) and KU Leuven (Belgium), where his research focused on numerical optimization algorithms for machine learning and optimal control applications. Journal of Machine Learning Research 21, no.

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Using LLMs to fortify cyber defenses: Sophos’s insight on strategies for using LLMs with Amazon Bedrock and Amazon SageMaker

AWS Machine Learning Blog

He earned a Masters degree in Computer Science, with a specialization in Artificial Intelligence and Machine Learning, from UC San Diego. With an undergraduate background in computer science, she graduated from the Central European University with a MSc. His latest research can be found on Google Scholar.

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Optimize RAG in production environments using Amazon SageMaker JumpStart and Amazon OpenSearch Service

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user {query} assistant """ PROMPT = PromptTemplate( template=prompt_template, input_variables=["query"] ) query = "How did AWS perform in 2021?" He specializes in machine learning, AI, and computer vision domains, and holds a master’s degree in Computer Science from UT Dallas. Raghu Ramesha is an ML Solutions Architect.

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