For much of the past decade, progress in artificial intelligence has been driven by scale. Bigger datasets, more parameters, ...
Abstract: High-performance control designs are indispensable in high-end industrial applications. At the same time, tuning a controller for optimal performance only on the basis of model knowledge is ...
In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...
The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid due to its intensive energy consumption. Digital computing's energy and ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The sustainable transition of the plastic industry─shifting from its fossil reliance ...
Abstract: In this letter, a novel hybrid motion optimization framework is proposed for a humanoid upper-body robot with two 7-DOF arms and a 2-DOF waist, to flexibly and safely carry objects in ...
Support for Distributed GPU Training for scalable model training across multiple devices. Integration of the WorldPose Dataset as an additional benchmark for training and evaluation. Camera ...
This repository demonstrates the conversion process with a sophisticated technical analysis indicator that provides 40-60% less lag than traditional moving averages while maintaining smooth output for ...
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