Tech Xplore

New computational method combines modern density functional with adaptive algorithm to predict semiconductor properties

Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and ...
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.

Jeff Bezos Is Funding a Wild Hunt for the Brain’s ‘Core Algorithm’

With $500 million in funding and a reported $2.5 billion valuation, Flourish wants to reinvent AI by putting real neurons ...
IEEE

A Surrogate-Assisted Differential Evolution Algorithm for High-Dimensional Expensive Optimization Problems

Abstract: The radial basis function (RBF) model and the Kriging model have been widely used in the surrogate-assisted evolutionary algorithms (SAEAs). Based on their characteristics, a global and ...
IEEE

Robot Motion Planning Based on Improved RRT Algorithm and RBF Neural Network Sliding

Abstract: Aiming to address the limitations of the traditional rapidly-exploring random tree (RRT) algorithm in robotic arm path planning, such as high randomness, slow planning speed, non-smooth ...
Visual Studio Magazine

Kernel Ridge Regression Using C#

KRR is especially useful when there is limited training data, says Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step tutorial. The goal of a machine learning regression problem ...
Frontiers

Editorial: Recent advances in renewable energy automation and energy forecasting

Renewable energy sources like solar, wind, and hydroelectric power are gaining popularity as we work towards a more sustainable future. However, their intermittent and often unpredictable nature, ...