While some business leaders buy large language models, others build their own. Here are five things you need to know.

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...

The study does not argue for the rejection of AI tools in education but urges a serious reevaluation of how they are designed, trained, and integrated into learning environments. The authors advocate ...

Cancer Research has advanced during the past few years. Using high throughput technology and advances in artificial intelligence, it is now possible to improve cancer diagnosis and targeted therapy, ...

While numerous highly accurate models, specifically for property prediction, have been reported in the literature, there has been a lack of a generalized framework. Herein we propose a novel feature ...

Abstract MicroRNAs (miRNAs) play a pivotal role in gene expression regulation and are closely linked to cancer development. In this study, we employ machine learning techniques to identify critical ...

Discover key strategies to enhance feature selection for more effective machine learning models, ensuring accuracy and efficiency.

This research introduces an innovative approach to sentiment analysis, addressing scalability challenges inherent in deep learning models. Chi-Vec, a fused feature selection technique, optimizes model ...

An analytical model based on machine learning algorithms with supervised learning, i.e., a k -NN classifier with known class membership, was proposed and used to evaluate the effects of the VR program ...