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 ...

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 should not be considered outside the scope of AI.

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.

AMD’s flagship Instinct MI350 chips, developed on the CDNA 4 architecture, aim to deliver up to four times more AI compute ...

Thousands of entrepreneurs are trying to rebuild the economy around AI. I set out to see how they’re actually doing it.