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 ...

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

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 ...

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 ...

A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, ...

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

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