The core of the new media platform's algorithm lies in accurately matching user interests with content value. Based on real ...

Professionals in agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality ...

However, algorithms are not a perfect answer. There are biases behind the data, and the construction of models is based on ...

Over-analysis, blind faith in algorithms and misplaced confidence in cohorting were cited as traps that threaten both ...

The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for ...

Experienced trader and quantitative strategist, specializing in strategic market analysis, explains how cognitive patterns ...

AI-based OCT image analysis of thin-cap fibroatheromas captures ‘the complete picture, not just the angiographic hotspot.’ ...

As Ripple’s XRP continues to struggle with price consolidation amid the ongoing market volatility, a new alternative is ...

The research identifies three interconnected forces that drive misinformation diffusion: human psychology, emotional ...

Fei Li, Associate Professor, Computer Science, College of Engineering and Computing (CEC), received funding for the project: “Quantum Algorithms for High-Performance Analysis of Single-Cell Omics Data ...

The open-pit mining problem is to determine the contours of a mine, based on economic data and engineering feasibility requirements, to yield maximum possible net income. This practical problem needs ...

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...