Defense One

GenAI.mil records almost 1.7M users, plans new model additions

It's just a really exciting time for generative AI in the department,” the Pentagon’s chief artificial intelligence officer ...

Why Investors Should Care About Midstream Classifications

The Energy MLP Classification Standard (EMCS) categorizes energy infrastructure companies based on their primary source of ...
GitHub

Using LDA, SVM, and Decision Trees to deal with MNIST data set

This project involves the classification of handwritten digits using three different classifiers: Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), and Decision Trees. The goal is to ...
Frontiers

Reservoir Computing for Temporal Data Classification Using a Dynamic Solid Electrolyte ZnO Thin Film Transistor

The processing of sequential and temporal data is essential to computer vision and speech recognition, two of the most common applications of artificial intelligence (AI). Reservoir computing (RC) is ...
Frontiers

A Synaptic Pruning-Based Spiking Neural Network for Hand-Written Digits Classification

A spiking neural network model inspired by synaptic pruning is developed and trained to extract features of hand-written digits. The network is composed of three spiking neural layers and one output ...
Microsoft

Measuring dataset similarity using optimal transport

Is FashionMNIST, a dataset of images of clothing items labeled by category, more similar to MNIST or to USPS, both of which are classification datasets of handwritten digits? This is a pretty hard ...
IEEE

Distributed Feature Selection for Multi-Class Classification Using ADMM

Abstract: Feature selection is an important task in data-driven control applications to identify relevant features and remove non-informative ones, for example residual selection for fault diagnosis.