A class action accuses Adobe of secretly pulling hundreds of thousands of copyrighted books—including titles scraped from ...
Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.
Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Mike Johnson gives update on Jan. 6 plaque Alaska received 7 feet of snow, sinking ...
Pearland school board members knew they couldn't personally vet hundreds of books for “indecent” or “profane” content prohibited under a new state law. So when they met this fall to consider a ...
Abstract: Although various approaches have been reported for forecasting aviation safety risks, they frequently fail to fully consider the stochastic nature and complex interrelations of numerous real ...
On September 5, 2025, authors Grady Hendrix and Jennifer Roberson filed a class action lawsuit in the U.S. District Court for the Northern District of California, alleging that Apple used pirated ...
The U.S. Air Force has awarded Northrop Grumman the potential $972 million firm-fixed-price, time and materials Air Force Modeling and Simulation support services, or AFMS3, contract. Air Force ...
A billion dollars isn’t what it used to be—but it still focuses the mind. At least it did for me when I heard that the AI company Anthropic agreed to an at least $1.5 billion settlement for authors ...
The settlement is the largest payout in the history of U.S. copyright cases and could lead more A.I. companies to pay rights holders for use of their works. By Cade Metz Reporting from San Francisco ...
The latest trends and issues around the use of open source software in the enterprise. JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative ...
ABSTRACT: The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in ...
Quantifying stratigraphic uncertainty is crucial for reliable risk assessment and informed decision-making in geotechnical and geological engineering. However, accurately modeling complex stratigraphy ...
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