IEEE

A New Approach for Sleeping Disorder Classification using Supervised Machine Learning Algorithms

Abstract: Sleep disorders are now a prevalent health condition worldwide and are identified as contributory causes of several chronic diseases like cardiovascular diseases, obesity, and reduced ...
IEEE

The Impact of Image Spatial Resolution and Machine Learning Algorithm on Urban Vegetation Classification: Focus on Data Loss and Misclassification

Abstract: Urban vegetation classification is challenging due to the heterogeneous nature of urban environments. Accurate mapping of urban vegetation, which plays a crucial role in regulating ...
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 ...
Time

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

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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 ...
Federal Register

Medical Devices; General Hospital and Personal Use Devices; Classification of the Rigid Sterilization Container With Electronic Monitoring

This document has been published in the Federal Register. Use the PDF linked in the document sidebar for the official electronic format.