Tag: regression
Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities | Amazon Web Services
This is a guest post co-authored by Shravan Kumar and Avirat S from Gramener.
Gramener, a Straive...
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Promises and Pitfalls Recap – Part Three » CCC Blog
CCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we will be...
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
Samson Wang1,2, Piotr Czarnik1,3,4, Andrew Arrasmith1,5, M. Cerezo1,5,6, Lukasz Cincio1,5, and Patrick J. Coles1,51Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA2Department...
Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker | Amazon Web Services
In this post, we demonstrate how to efficiently fine-tune a state-of-the-art protein language model (pLM) to predict protein subcellular localization using Amazon SageMaker.
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Fidelity Director Analyzes Bitcoin Potential: Could It Hit $6 Trillion Market Cap?
In recent years, the debate surrounding Bitcoin’s (BTC) potential market share relative to gold has garnered significant attention, as recently approved Bitcoin Exchange-Traded Funds...
Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints | Amazon Web Services
Amazon SageMaker multi-model endpoints (MMEs) are a fully managed capability of SageMaker inference that allows you to deploy thousands of models on a single...
Detect anomalies in manufacturing data using Amazon SageMaker Canvas | Amazon Web Services
With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable...
Spacetime-Efficient Low-Depth Quantum State Preparation with Applications
Kaiwen Gui1,2,3, Alexander M. Dalzell4, Alessandro Achille5, Martin Suchara1, and Frederic T. Chong31Amazon Web Services, WA, USA2Pritzker School of Molecular Engineering, University of Chicago,...
How Booking.com modernized its ML experimentation framework with Amazon SageMaker | Amazon Web Services
This post is co-written with Kostia Kofman and Jenny Tokar from Booking.com.
As a global leader in...
Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock | Amazon Web Services
Generative AI agents are a versatile and powerful tool for large enterprises. They can enhance operational efficiency, customer service, and decision-making while reducing costs...
Gen AI: Ethics and Regulations
In this epoch of AI, serious questions about regulations and laws for AI are being raised but
why now, and if not now, what will...
Reduce inference time for BERT models using neural architecture search and SageMaker Automated Model Tuning | Amazon Web Services
In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model...
Parallel Quantum Algorithm for Hamiltonian Simulation
Zhicheng Zhang1,2, Qisheng Wang3,4, and Mingsheng Ying5,41Centre for Quantum Software and Information, University of Technology Sydney, Sydney, Australia2University of Chinese Academy of Sciences,...
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