Robotics & Machine Learning Daily News2024,Issue(Jun.28) :145-146.

Studies from American International University-Bangladesh in the Area of Artific ial Intelligence Reported (Explainable Ai Approaches In Deep Learning: Advanceme nts, Applications and Challenges)

美国国际大学-孟加拉国分校在人工智能领域的研究报告(深度学习中的可解释人工智能方法:Advanceme NTS,应用和挑战)

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :145-146.

Studies from American International University-Bangladesh in the Area of Artific ial Intelligence Reported (Explainable Ai Approaches In Deep Learning: Advanceme nts, Applications and Challenges)

美国国际大学-孟加拉国分校在人工智能领域的研究报告(深度学习中的可解释人工智能方法:Advanceme NTS,应用和挑战)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于人工智能的新报告。根据NewsRx记者从孟加拉国达卡发来的新闻,研究表明,“可解释人工智能指的是开发人工智能模型和系统,这些模型和系统能够为其决策和前提提供清晰、可理解和透明的解释。在深度学习中,复杂的神经网络通常以‘黑色b oxes’的形式运作,可解释人工智能的重要性在于增强信任、问责制和互操作性。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ar tificial Intelligence. According to news originating from Dhaka, Bangladesh, by NewsRx correspondents, research stated, “Explainable Artificial Intelligence ref ers to developing artificial intelligence models and systems that can provide cl ear, understandable, and transparent explanations for their decisions and predic tions. In deep learning, where complex neural networks often operate as ‘black b oxes’, the importance of explainable AI lies in enhancing trust, accountability, and interoperability.”

Key words

Dhaka/Bangladesh/Asia/Artificial Inte lligence/Emerging Technologies/Machine Learning/American International Univer sity-Bangladesh

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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