Robotics & Machine Learning Daily News2024,Issue(Oct.15) :108-108.

Studies from Solent University Update Current Data on Artificial Intelligence (E nergy Efficiency Evaluation of Artificial Intelligence Algorithms)

Robotics & Machine Learning Daily News2024,Issue(Oct.15) :108-108.

Studies from Solent University Update Current Data on Artificial Intelligence (E nergy Efficiency Evaluation of Artificial Intelligence Algorithms)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on artificial intelligence is the su bject of a new report. According to news reporting from Southampton, United King dom, by NewsRx journalists, research stated, “This article advances the discours e on sustainable and energy-efficient software by examining the performance and energy efficiency of intelligent algorithms within the framework of green and su stainable computing.” Our news journalists obtained a quote from the research from Solent University: “Building on previous research, it explores the theoretical implications of Brem ermann’s limit on efforts to enhance computer performance through more extensive methods. The study presents an empirical investigation into heuristic methods f or search and optimisation, demonstrating the energy efficiency of various algor ithms in both simple and complex tasks. It also identifies key factors influenci ng the energy consumption of algorithms and their potential impact on computatio nal processes.”

Key words

Solent University/Southampton/United K ingdom/Europe/Algorithms/Artificial Intelligence/Emerging Technologies/Mach ine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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