Overview: AI is transforming medical diagnosis by allowing earlier and more accurate disease detection.Machine learning ...

Reddit, YouTube, and TikTok are providing researchers with data they only could have wished for via self-reported surveys.

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

The cloud can help your business grow. Learn what the cloud is, the benefits of cloud services and software, and how much cloud services cost.

AI factories meet the computational capacity and power requirements of today’s machine-learning and generative AI workloads.

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...

Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...