Since its theoretical concept in the 1950s, artificial intelligence (AI) paved the way for businesses to experience enhanced opportunities and productivity through various techniques, especially ...
Keysight Technologies, Inc. today announced the release of the new Machine Learning Toolkit in the latest Keysight Device Modeling Software Suite.
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...
The AAA game studio development cycle is floundering in the face of economic headwinds and bloat. Long development cycles, inflated headcounts, and soaring budgets mean that major studios are ...
This repository contains a modular, reproducible pipeline for predicting cell cycle phases (G1, S, G2M) from single-cell RNA-seq data using deep learning and traditional machine learning models.
1 Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China 2 Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China Objective: This study was aimed at ...
Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
Artificial intelligence startup OpenEvidence says its AI model has scored a perfect 100% on the United States Medical Licensing Examination (USMLE), raising the bar on the proficiency of AI models to ...
Objective: To develop and validate an explainable machine learning model for predicting the risk of sleep disorders in older adults with multimorbidity. Methods: A total of 471 older adults with ...
Abstract: This paper aims to optimise cycle time (CT) in semiconductor wafer production, a critical factor for enhancing operational efficiency and competitiveness in the semiconductor manufacturing ...