Advancements in Artificial Intelligence: Exploring New Frontiers in Machine Learning Algorithms Article Swipe

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Abhinav Singhal ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.36676/dira.v12.i4.154

In recent years, artificial intelligence (AI) has grown at an unprecedented rate, causing fundamental shifts in many different scientific fields and industrial sectors. Machine learning (ML) algorithms have been a trailblazer in many of its most noteworthy developments, providing cutting-edge answers to difficult issues in industries as diverse as healthcare, banking, and autonomous systems. most recent developments in machine learning algorithms, with an emphasis on fresh ideas that challenge the status quo. We highlight the promise of new ideas like explainable AI, deep learning, and reinforcement learning to transform decision-making and human-computer interactions. Using up-to-date information on optimisation techniques, computational models, and algorithmic advancements, this study surveys the cutting edge of artificial intelligence research. Responsible AI development must be prioritised, and we address the difficulties and ethical concerns that come with these advances. In its last section, the article paints a picture of machine learning's potential for the years to come, describing the revolutionary changes it will bring to both science and society.

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Computer Science

Artificial Intelligence

Machine Learning

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Computer science Artificial intelligence Machine learning Algorithm

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Type: article
Language: en
Landing Page: https://doi.org/10.36676/dira.v12.i4.154
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OA Status: diamond
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DOI: https://doi.org/10.36676/dira.v12.i4.154

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Title: Advancements in Artificial Intelligence: Exploring New Frontiers in Machine Learning Algorithms

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Type: article

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Language: en

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Publication year: 2024

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Publication date: 2024-12-28

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Authors: Abhinav Singhal

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Landing page: https://doi.org/10.36676/dira.v12.i4.154

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PDF URL: https://dira.shodhsagar.com/index.php/j/article/download/154/152

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Concepts: Computer science, Artificial intelligence, Machine learning, Algorithm

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Related works (count): 10

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