Tech Xplore

A hardware-software co-design can efficiently run AI on edge devices

A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...
Tech Xplore

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

A smarter way to build vaccines: Scientists harness AI to target emerging alphaviruses

A team of scientists at The University of Texas Medical Branch (UTMB), led by Nikos Vasilakis, Ph.D., and Peter McCaffrey, MD ...
Journal of Medical Internet Research

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study

Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...
IEEE

Performance Evaluation of Support Vector Machine and Stacked Autoencoder for Hyperspectral Image Analysis

Abstract: In the world of remote sensing, hyperspectral imaging has emerged as a powerful tool that captures incredibly detailed information about our environment. These images contain hundreds of ...
IEEE

Comparative Analysis of Support Vector Machine and Convolutional Neural Network for Image Classification

Abstract: The rapid growth of image classification tasks in various applications, from facial recognition to object detection, highlights the importance of developing efficient and accurate ...