Can machine learning predict which equity factors will outperform? A new study finds that machine learning models, especially ...

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 ...

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 ...

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

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

A researcher has proposed a more targeted approach to AI drug discovery, which includes a rigorous evaluation protocol.

In Alibaba, itself an AI pioneer, they are up against a tech heavyweight. The China-based retailer’s open source large ...

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 ...