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 ...

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

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 ...

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

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 ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that threaten both lives and critical infrastructure. In 2022, a slope failure ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

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