Two weeks after dozens of state attorneys general sued Meta for allegedly getting adolescents addicted to its platforms and jeopardizing their safety, Instagram head Adam Mosseri posted an internal ...
Abstract: We propose a soft gradient boosting framework for sequential regression that embeds a learnable linear feature transform within the boosting procedure. At each boosting iteration, we train a ...
The new Instagram feature reveals what the algorithm thinks you like and lets you adjust it, reshaping how content gets recommended on Reels. Instagram launched Your Algorithm in the U.S. today, a ...
APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Abstract: This research aims to formulate an optimal control algorithm for a hydrothermal air-conditioning system, with the objective of minimizing energy consumption while simultaneously ensuring ...
Traditional multi-pass cells (MPCs) rely on grid search algorithms for design, which suffer from problems such as long design time and high computational cost. Additionally, these conventional methods ...
(CNN) — Offline, in real-world Los Angeles, most Angelenos are having a perfectly normal day. But online, the fires and riots are still raging. The powerful algorithms that fuel social media platforms ...
Small-scale quantum computers can enhance machine learning performance, as shown in an experimental study using a photonic quantum processor. (Nanowerk News) One of the current hot research topics is ...
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