IEEE

Data-Driven Solutions for Human Trafficking: Detection and Impact Analysis Using Machine Learning

Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...
IEEE

Prediction of Land Use and Land Cover Using Google Earth Engine (GEE) and Machine Learning Algorithms: A Review

Abstract: Reliability is a critical requirement for classifiers that generate maps of land use and land cover (LULC), and these classifiers are highly sought after. Particularly, machine learning ...
Reuters

AI to double data centre power and water consumption by 2030, UN researchers say

SINGAPORE, June 3 (Reuters) - Data centres are expected to consume twice as much power and water by 2030 as they expand to meet the surge in demand from artificial intelligence, U.N. researchers said ...
The Conversation

How much water and power will AI data centres use in Australia? Ironically, we don’t have the data to know

Australia’s data centre rush now rivals the mining boom. OpenAI chief executive Sam Altman last week said Australia could become a “data centre capital of the world”. This would come at an ...
Time

AI Could Use as Much Water as 1.3 Billion People by 2030, U.N. Report Warns

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