An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium.

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and ...

State Key Lab of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China State Key Lab of Metal Matrix Composites, School of ...

Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications. Data science platform Kaggle is hosting a Wikipedia dataset that ...

A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of training data and demonstrated ... is trained using a large number ...

Researchers say the first patient is doing well and that they aim to put the procedure into practical use in the 2030s. Type one diabetes is a disease in which cells that produce insulin that ...

But the unit’s commanders encouraged the use of ... data that is difficult to get online (gathered by human operatives on the ground), as well as reports from physical sensors that covertly ...

However, with the development of information technology, requirements for data flow have become diverse. Particularly, when multi-type data flow (MDF) is used, games, videos, calls, etc. are all ...

This repository features a machine learning ... data preprocessing, model training, and evaluation using techniques such as Naive Bayes and K-Nearest Neighbors (KNN) . The aim is to highlight the ...

A flow pattern analysis framework based on the combination of dual-domain feature extraction and deep learning is proposed. Measurement data of flow patterns are collected using a resistance sensor ...