Class Suit Accuses Adobe of Using Pirated Books to Train AI Models

A class action accuses Adobe of secretly pulling hundreds of thousands of copyrighted books—including titles scraped from ...
IEEE

Step Size Adaptation for Accelerated Stochastic Momentum Algorithm Using SDE Modeling and Lyapunov Drift Minimization

Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.
GitHub

An actuarial stochastic modeling library in python.

The Proteus Actuarial Library (PAL) is a fast, lightweight framework for building simulation-based actuarial and financial models. It handles complex statistical dependencies using copulas while ...
IEEE

Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems

Abstract: Deep learning techniques have shown promise in various domains. However, traditional methods can only demonstrate their universal approximation capability from an existential perspective, ...
Frontiers

Prediction of Thin Sand body Reservoirs using Facies Model-Constrained Stochastic Optimization Inversion

The final, formatted version of the article will be published soon. Abstract—Globally, subtle hydrocarbon reservoirs in petrolifer ous basins have always been challenging targets for exploration r ...