Design-Reuse

Dimensioning in 3D space: Object Volumetric Measurement by Leveraging Depth Camera-based Reconstruction on NVIDIA Edge devices

Computer vision has made significant advancements in recent years, particularly in the 3D domain. Generating a complete 3D scene is fundamental and pivotal in computer vision and robotics for tasks ...
IEEE

In-Memory Principal Component Analysis by Crosspoint Array of Resistive Switching Memory: A new hardware approach for energy-efficient data analysis in edge computing

Abstract: In-Memory Computing (IMC) is one of the most promising candidates for data-intensive computing accelerators of machine learning (ML). A key ML algorithm for dimensionality reduction and ...
InfoWorld

The engines of AI: Machine learning algorithms explained

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...
InfoWorld

14 popular AI algorithms and their uses

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...
Scientific Research Publishing

Lung Cancer Prediction from Elvira Biomedical Dataset Using Ensemble Classifier with Principal Component Analysis ()

The process of automated prediction of disease is key for better treatment and lifesaving. As such, many machine learning (ML) based methods have been developed for various diseases. The growing ...
GitHub

PCA applied to Parkinson's Disease Classification Dataset

Notifications You must be signed in to change notification settings This is work from the Data Science Techniques and Applications (DSTA) module of the MSc in Data Science at Birkbeck, University of ...