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.
IEEE

Exploring the Privacy-Accuracy Trade-Off Using Adaptive Gradient Clipping in Federated Learning

Abstract: In Differentially Private Federated Learning (DP-FL), gradient clipping can prevent excessive noise from being added to the gradient and ensure that the impact of noise is within a ...
IEEE

KAST-Net: An Inversion Network With Gravity Kernel Matrix Layers for Joint Gravity and Gradients

Abstract: Gravity inversion, as a critical technique in gravity exploration, is widely used for reconstructing 3-D subsurface density structures in mineral resource exploration, deep structural ...
CNBC

Upstart chipmakers keep challenging Nvidia. This time it's Microsoft-backed D-Matrix

D-Matrix says its chips can run inference workloads 10 times faster and using five times less energy than a standalone graphics processing unit from Nvidia. Like Cerebras, D-Matrix is trying to prove ...