Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

AI Didn’t Break Hiring. It Scaled The Bias We Already Chose.

A federal judge just ruled that Workday has to answer for what its screening software does to applicants. This is not about ...
Polygon

Netflix's War Machine is officially one of its biggest movies of all time

In an era dominated by nostalgic sequels of beloved franchises — from Freakier Friday to Practical Magic 2 — and the next superhero blockbuster, one of Netflix's biggest hits of 2026 is something far ...
STAT

Your sepsis algorithm shouldn’t require a time machine

You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every ...
IEEE

Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent

Abstract: A crucial task in predictive maintenance is estimating the remaining useful life of physical systems. In the last decade, deep learning has improved considerably upon traditional model-based ...
IEEE

Differential Privacy Enabled Robust Asynchronous Federated Multitask Learning: A Multigradient Descent Approach

Abstract: The federated learning (FL) technique can provide a promising solution for the timely training of a deep learning model with the critical requirement of privacy protection. However, the ...
Scientific Research Publishing

Fault Diagnosis in Photovoltaic Systems Using Machine Learning Algorithms ()

1 Department of Electrical Engineering, Pan African University Institute for Basic Sciences, Technology, and Innovation (PAUSTI), Nairobi, Kenya. 2 Department of Renewable Energy, Higher Technical ...