Can machine learning predict which equity factors will outperform? A new study finds that machine learning models, especially those using factor momentum, can successfully forecast cross-sectional ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

AI refers to a machine-based system and ML refers to a set of techniques that can be used to train AI algorithms (2) so ML ...

The forensic process is moving away from tangible, observable evidence toward what he calls “invisible evidence”, ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

Launch monitors are everywhere now. Swing analyzers, too. But PLATFORM Golf built something different. They didn't measure ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

No matter what Digimon game you're playing, including Digimon Story: Time Stranger, your Digimon's ability to digivolve to a new level is tied to their stats. A physical attacking Digimon often needs ...

AI’s future will be defined not by parameter counts, but by the integrity of the data that sustains it. Failures in ...

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...