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Recent Advancements in Artificial Intelligence
Subject area: Science,Engineering and Technology · Area of research: Artificial intelligence
Abstract
Artificial Intelligence (AI) has witnessed remarkable advancements in recent years, revolutionizing various fields and reshaping the way we live and work. This abstract provides an overview of some key advancements and trends in AI technology. Machine Learning Breakthroughs: Breakthroughs in machine learning algorithms, particularly in deep learning, have been pivotal. Advancements in neural networks, reinforcement learning, and generative models have led to significant strides in natural language processing, computer vision, and decision- making systems. Ethical AI Development: There has been a growing emphasis on ethical AI development. Efforts to address biases in AI models, ensure transparency, fairness, and accountability in decision-making processes have gained traction. Frameworks and guidelines are being established to promote responsible AI use.
Keywords
Artificial Intelligence, Segmentation, Optimization, Hyperparameters, Deep Learning Technique
How to cite this paper
@article{1713045,
author = {Pramod Sajwan, Sushil Kumar},
title = {Recent Advancements in Artificial Intelligence},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {8},
pages = {2532-2535},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1713045.pdf},
abstract = {Artificial Intelligence (AI) has witnessed remarkable advancements in recent years, revolutionizing various fields and reshaping the way we live and work. This abstract provides an overview of some key advancements and trends in AI technology. Machine Learning Breakthroughs: Breakthroughs in machine learning algorithms, particularly in deep learning, have been pivotal. Advancements in neural networks, reinforcement learning, and generative models have led to significant strides in natural language processing, computer vision, and decision- making systems. Ethical AI Development: There has been a growing emphasis on ethical AI development. Efforts to address biases in AI models, ensure transparency, fairness, and accountability in decision-making processes have gained traction. Frameworks and guidelines are being established to promote responsible AI use.},
keywords = {Artificial Intelligence, Segmentation, Optimization, Hyperparameters, Deep Learning Technique},
month = {February},
}