A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities.

This systematic review provides a state-of-art of Artificial Intelligence (AI) models such as Machine Learning (ML) and Deep Learning (DL) development and its applications in Mexico in diverse fields. These models are recognized as powerful tools in many fields due to their capability to carry out several tasks such as forecasting, image classification, recognition, natural language processing, machine translation, etc. This review article aimed to provide comprehensive information on the Machine Learning and Deep Learning algorithms applied in Mexico.

Evaluation of arsenic effects on Paracyclops novenarius Reid, 1987: a cyclopoid copepod in central-north of Mexico.

Description and morphological analysis of copepods inhabiting a water body with high arsenic concentrations (32.79 to 62.29 mg L) were performed to identify some effect on the development of individuals due to the arsenic concentrations.