Challenge 8: Oceans of Big Data and Artificial Intelligence
Logares, Ramiro | Alós, Josep | Catalán, Ignacio Alberto | Crespo Solana, Ana | Campo, Javier del | Ercilla, Gemma | Fablet, Ronan | Fernández-Guerra, Antonio | Galí, Martí | Gasol, Josep M. | González, Ángel F. | Hernández-García, Emilio | López, Cristóbal | Massana, Ramon | Montiel Fontanet, Lidia | Palmer, Miquel | Pascual, Santiago | Pascual, Ananda | Pérez López, Fernando | Pintado, José | Portabella, Marcos | Ramasco, José J. | Richter, Daniel J. | Sallarès, Valentí | Sánchez, Pablo | Sanllehi, Javier | Turiel, Antonio | Villaseñor, Antonio
18 pages, 3 figures
Показать больше [+] Меньше [-]Oceans are no longer inaccessible places for data acquisition. High-throughput technological advances applied to marine sciences (from genes to global current patterns) are generating Big Data sets at unprecedented rates. How to manage, store, analyse, useand transform this data deluge into knowledge is now a fundamental challenge for ocean sciences. Artificial Intelligence and Machine Learning are the most promising and exciting approaches addressing this challenge. These technologies are directly applicable to many data analysis problems and major challenges in the study of the ocean microbiome, ocean observation and forecasting, animal biology, ecology and conservation, resource management, and marine geosciences. We are only at the beginning of an era when machines are able to solve complex tasks that, until today, have required human expertise. We envision that the combination of ocean Big Data and Artificial Intelligence will provide the means for ground-breaking advances in our understanding of ocean functioning.
Показать больше [+] Меньше [-]Peer reviewed
Показать больше [+] Меньше [-]Библиографическая информация
Эту запись предоставил Instituto de Investigaciones Marinas