Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023最新文献_第9页

Utilizing Artificial Intelligence in Real-World Applications 在现实世界的应用中利用人工智能

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-02-07 DOI: 10.60087/jaigs.v2i1.p19

José Gabriel Carrasco Ramírez, Md.mafiqul Islam

引用次数: 0

Investigating State-of-the-Art Frontiers in Artificial Intelligence: A Synopsis of Trends and Innovations 探究人工智能的最新前沿：趋势与创新概要

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-02-07 DOI: 10.60087/jaigs.v2i1.p30

Sohana Akter

{"title":"Investigating State-of-the-Art Frontiers in Artificial Intelligence: A Synopsis of Trends and Innovations","authors":"Sohana Akter","doi":"10.60087/jaigs.v2i1.p30","DOIUrl":"https://doi.org/10.60087/jaigs.v2i1.p30","url":null,"abstract":"Artificial intelligence (AI) has undergone rapid evolution in recent decades, catalysing the emergence of ground-breaking technologies that have reshaped various sectors. Among these advancements is the advent of autonomous vehicles, poised to revolutionize transportation and mobility. Moreover, AI has spurred the development of cutting-edge solutions in healthcare, exemplified by AI-powered medical imaging systems. This manuscript presents an overview of AI's evolution and explores the latest strides in autonomous vehicles and healthcare innovations. Delving into the foundational technologies like machine learning and computer vision, it elucidates the methodologies employed in crafting autonomous vehicles and healthcare solutions. The document also scrutinizes the advantages and hurdles inherent in these innovations, while offering insights into future avenues of research. Overall, it underscores AI's profound impact on transportation, healthcare, and beyond, underscoring the transformative potential of autonomous vehicles and healthcare technologies in fostering safer and more efficient mobility and healthcare systems.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"145 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140460609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the Applications of Artificial Intelligence across Various Industries 探索人工智能在各行各业的应用

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-02-07 DOI: 10.60087/jaigs.v2i1.p25

Md.mafiqul Islam

引用次数: 1

Exploring the Advancements and Ramifications of Artificial Intelligence 探索人工智能的进步和影响

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-02-07 DOI: 10.60087/jaigs.v2i1.p35

Sohel Rana

引用次数: 0

Applications of MachineLearning(ML): The real situation of the Nigeria Fintech Market 机器学习（ML）的应用：尼日利亚金融科技市场的真实情况

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-02-02 DOI: 10.60087/jaigs.v1i1.34

Md.mafiqul Islam

引用次数: 0

Machine Learning Applications in Healthcare: Current Trends and Future Prospects 医疗保健领域的机器学习应用：当前趋势与未来展望

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-02-02 DOI: 10.60087/jaigs.v1i1.33

Dr. José Gabriel Carrasco Ramírez., Md.mafiqul Islam, Asm Ibnul Hasan Even

{"title":"Machine Learning Applications in Healthcare: Current Trends and Future Prospects","authors":"Dr. José Gabriel Carrasco Ramírez., Md.mafiqul Islam, Asm Ibnul Hasan Even","doi":"10.60087/jaigs.v1i1.33","DOIUrl":"https://doi.org/10.60087/jaigs.v1i1.33","url":null,"abstract":"The integration of machine learning (ML) in healthcare has witnessed remarkable advancements, transforming the landscape of medical diagnosis, treatment, and overall patient care. This article provides a comprehensive review of the current trends and future prospects of machine learning applications in the healthcare domain.The current landscape is characterized by the utilization of ML algorithms for disease diagnosis and risk prediction, personalized treatment plans, and efficient healthcare resource management. Notable applications include image recognition for radiology and pathology, predictive analytics for disease prognosis, and the development of precision medicine tailored to individual patient profiles.This review explores the evolving role of ML in improving patient outcomes, enhancing clinical decision-making, and optimizing healthcare workflows. It delves into the challenges faced in integrating ML into existing healthcare systems, such as data privacy concerns, interpretability of complex models, and the need for robust validation processes.Additionally, the article discusses future prospects and emerging trends in ML healthcare applications, including the potential for predictive analytics to preemptively identify health issues, the integration of wearable devices and remote monitoring for continuous patient care, and the intersection of ML with genomics for personalized medicine.The overarching goal of this article is to provide healthcare professionals, researchers, and policymakers with insights into the current state of ML applications in healthcare, along with an outlook on the transformative potential that machine learning holds for the future of healthcare delivery and patient outcomes.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"55 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Reinforcement Learning Unleashing the Power of AI in Decision-Making 深度强化学习释放人工智能在决策中的力量

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-02-02 DOI: 10.60087/jaigs.v1i1.36

Jeff Shuford

{"title":"Deep Reinforcement Learning Unleashing the Power of AI in Decision-Making","authors":"Jeff Shuford","doi":"10.60087/jaigs.v1i1.36","DOIUrl":"https://doi.org/10.60087/jaigs.v1i1.36","url":null,"abstract":"Deep Reinforcement Learning (DRL) has emerged as a transformative paradigm in the field of artificial intelligence (AI), offering unprecedented capabilities in decision-making across diverse domains. This article explores the profound impact of DRL on enhancing the decision-making capabilities of AI systems, elucidating its underlying principles, applications, and implications.DRL represents a fusion of deep learning and reinforcement learning, enabling machines to learn complex behaviors and make decisions by interacting with their environment. The utilization of neural networks allows DRL algorithms to handle high-dimensional input spaces, making it well-suited for tasks that involve intricate decision-making processes.One of the key strengths of DRL lies in its ability to address problems with sparse and delayed rewards, common challenges in traditional reinforcement learning. Through a process of trial and error, DRL algorithms can learn optimal decision strategies by navigating through a vast decision space, adapting to dynamic environments, and maximizing cumulative rewards over time.The applications of DRL span various domains, including robotics, finance, healthcare, gaming, and autonomous systems. In robotics, DRL facilitates the development of intelligent agents capable of autonomously navigating complex environments, performing intricate tasks, and adapting to unforeseen circumstances. In finance, DRL is leveraged for portfolio optimization, algorithmic trading, and risk management, demonstrating its potential to revolutionize traditional financial strategies.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"88 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantum Computing and Artificial Intelligence: Synergies and Challenges 量子计算与人工智能：协同作用与挑战

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-02-02 DOI: 10.60087/jaigs.v1i1.35

Jeff Shuford

{"title":"Quantum Computing and Artificial Intelligence: Synergies and Challenges","authors":"Jeff Shuford","doi":"10.60087/jaigs.v1i1.35","DOIUrl":"https://doi.org/10.60087/jaigs.v1i1.35","url":null,"abstract":"Due to the explosive rise of quantum computing, there has been intense competition in business and academics in the field of quantum optics in recent decades. The current invention's overall scalability in quantum computing has surpassed many orders of magnitude, whereas ubiquitous quantum computers can support up to hundreds of quantum bits, or thousands of qubits. Strong machines continue to be developed. As a result, ethnicity has served as the inspiration for a huge number of studies and reports. This essay offers an introduction for everyone who would truly like to understand more about the ideas of quant communication and computing from a machine learning standpoint. It starts with such an educational approach and goes on to cover important turning points and the latest advancements in quantum computing. In this research, these fundamental characteristics of such a virtual network are divided into four major challenges, each of which has been thoroughly examined. correspondingly, A, B, C, and D stand for quantum physics, networking, security, and algorithms. The main issues, important areas of research, and most recent advancements are discussed as the article comes to a close.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"59 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantum Computing and Artificial Intelligence: Synergies and Challenges 量子计算与人工智能：协同作用与挑战

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-02-02 DOI: 10.60087/jaigs.v1i1.35

Jeff Shuford

{"title":"Quantum Computing and Artificial Intelligence: Synergies and Challenges","authors":"Jeff Shuford","doi":"10.60087/jaigs.v1i1.35","DOIUrl":"https://doi.org/10.60087/jaigs.v1i1.35","url":null,"abstract":"Due to the explosive rise of quantum computing, there has been intense competition in business and academics in the field of quantum optics in recent decades. The current invention's overall scalability in quantum computing has surpassed many orders of magnitude, whereas ubiquitous quantum computers can support up to hundreds of quantum bits, or thousands of qubits. Strong machines continue to be developed. As a result, ethnicity has served as the inspiration for a huge number of studies and reports. This essay offers an introduction for everyone who would truly like to understand more about the ideas of quant communication and computing from a machine learning standpoint. It starts with such an educational approach and goes on to cover important turning points and the latest advancements in quantum computing. In this research, these fundamental characteristics of such a virtual network are divided into four major challenges, each of which has been thoroughly examined. correspondingly, A, B, C, and D stand for quantum physics, networking, security, and algorithms. The main issues, important areas of research, and most recent advancements are discussed as the article comes to a close.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"2 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139893325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning Applications in Healthcare: Current Trends and Future Prospects 医疗保健领域的机器学习应用：当前趋势与未来展望

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-02-02 DOI: 10.60087/jaigs.v1i1.33

Dr. José Gabriel Carrasco Ramírez., Md.mafiqul Islam, Asm Ibnul Hasan Even

{"title":"Machine Learning Applications in Healthcare: Current Trends and Future Prospects","authors":"Dr. José Gabriel Carrasco Ramírez., Md.mafiqul Islam, Asm Ibnul Hasan Even","doi":"10.60087/jaigs.v1i1.33","DOIUrl":"https://doi.org/10.60087/jaigs.v1i1.33","url":null,"abstract":"The integration of machine learning (ML) in healthcare has witnessed remarkable advancements, transforming the landscape of medical diagnosis, treatment, and overall patient care. This article provides a comprehensive review of the current trends and future prospects of machine learning applications in the healthcare domain.The current landscape is characterized by the utilization of ML algorithms for disease diagnosis and risk prediction, personalized treatment plans, and efficient healthcare resource management. Notable applications include image recognition for radiology and pathology, predictive analytics for disease prognosis, and the development of precision medicine tailored to individual patient profiles.This review explores the evolving role of ML in improving patient outcomes, enhancing clinical decision-making, and optimizing healthcare workflows. It delves into the challenges faced in integrating ML into existing healthcare systems, such as data privacy concerns, interpretability of complex models, and the need for robust validation processes.Additionally, the article discusses future prospects and emerging trends in ML healthcare applications, including the potential for predictive analytics to preemptively identify health issues, the integration of wearable devices and remote monitoring for continuous patient care, and the intersection of ML with genomics for personalized medicine.The overarching goal of this article is to provide healthcare professionals, researchers, and policymakers with insights into the current state of ML applications in healthcare, along with an outlook on the transformative potential that machine learning holds for the future of healthcare delivery and patient outcomes.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139893519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0