Devdiscourse

Next-gen AI biosensors promise faster, smarter pandemic surveillance

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...
Los Alamos ReporterOpinion

LTE: Debunking AI

BY SEAN WILLIAMS, PhDSanta FeActually, I won’t use the term AI. It’s too broad: it can mean anything from zero-player tic-tac ...
IEEE

Custom Sequential Neural Network for Inverse Kinematic Regression

Abstract: Inverse Kinematics (IK) is a fundamental problem in robotics, requiring the calculation of joint angles to achieve a desired end-effector pose. Traditional approaches to IK often rely on ...
Visual Studio Magazine

Decision Tree Regression from Scratch Without Pointers or Recursion Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
Design And Reuse

Stellar P3E, 1st automotive MCU with an Neural-ART and the beginning of the democratization of AI in cars

The Stellar P3E is the first automotive microcontroller to ship with ST’s Neural-ART Accelerator. It offers a 20x to 30x improvement in inference operations compared to a similar MCU without a ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
IEEE

Malware Detection through Machine Learning: Evaluating Random Forest, Logistic Regression, and Neural Networks

Abstract: This study offers an in-depth comparative evaluation of various machine learning methods for malware detection using Windows Portable Executable (PE) files. We evaluate three distinct ...