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Scaling de-duplication in WorldCat: Balancing AI innovation with cataloging care | OCLC

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The fundamental shift in de-duplication Historically, de-duplication has relied on deterministic algorithms and manual effort on the part of catalogers and OCLC staff. While effective, these methods have limits. and its affiliates Privacy statement Cookie notice Cookie settings Accessibility statement ISO 27001 Certificate

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3D Gaussian Splatting vs NeRF: The End Game of 3D Reconstruction?

PyImageSearch

In the 1st blog of this series , you were introduced to Photogrammetry, which is based on 3D Reconstruction via heavy geometry. And in the 2nd blog of this series , you were introduced to NeRFs, which is 3D Reconstruction via Neural Networks, projecting points in the 3D space. 2023 ) See how we added 3 blocks? Thats A, B, and C.

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Life beyond the leaderboard

DrivenData Labs

In the Pose Bowl competition, winning solutions explored ways to implement object detection algorithms on limited hardware for use in space. Example output from Zamba Cloud, an application developed for conservation researchers building on data and algorithms from the Pri-matrix Factorization challenge.

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

AWS Machine Learning Blog

3 (2020): 1181-1191. [4] 140 (2020): 1-67. [6] 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. O Texts (2018). [3] 4] Nie, Yuqi, Nam H. Webb, Rob J.

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Top Data Science Facts You Should Know

Pickl AI

Summary: This blog takes you on a journey to explore the interesting data facts. zettabytes in 2020. Heres how they enhance the power of Data Science: Predictive Analytics: ML algorithms can predict customer behaviour, enabling businesses to tailor marketing strategies. Introduction Data is the new gold.

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Llama 4 family of models from Meta are now available in SageMaker JumpStart

AWS Machine Learning Blog

In this blog post, we walk you through how to deploy and prompt a Llama-4-Scout-17B-16E-Instruct model using SageMaker JumpStart. Efficiency and Productivity Gains**: - **Content Generation**: LLMs can automate the creation of various types of content, such as blog posts, reports, product descriptions, and social media updates.

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How climate tech startups are building foundation models with Amazon SageMaker HyperPod

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By adopting efficient training strategies, such as reducing the number of unnecessary training iterations and employing energy-efficient algorithms, startups can significantly lower their carbon footprint. For example, Amazon is the largest corporate purchaser of renewable energy in the world, every year since 2020.

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