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Archives Volume-11, Issue-1 (January-June)

TABLE OF CONTENTS

Paper Title:
DESIGNING INTERACTIVE LEARNING EXPERIENCES WITH GENERATIVE AI: A PEDAGOGICAL PERSPECTIVE
Author Name:
Shruti Handa
Country:
India
Page No.:
1-7
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DESIGNING INTERACTIVE LEARNING EXPERIENCES WITH GENERATIVE AI: A PEDAGOGICAL PERSPECTIVE
Author: Shruti Handa

Generative Artificial Intelligence (GenAI) has the potential to revolutionize education by enhancing learning experiences, personalization, and teacher support. Because GenAI is a new technology, not many instructors and learners have extensive experience in teaching and learning with it. To integrate GenAI in higher education teaching and learning, educators must stay engaged and informed about GenAI tools, as well as consider how their students may interact with these tools. Higher education instructors acknowledge the potential benefits of GenAI to students, but they also raise concerns about its potential ethical and pedagogical consequences. This study emphasizes the necessity of appropriate policies and guidelines to guarantee the responsible use of technology by students. This study focuses on how GenAI tools are an innovation that may be used in many creative ways to enhance learning outcomes. This study explores the pedagogical approaches that educators might employ while utilizing GenAI tools to enhance the design of lessons and assignments.
Keywords: Generative AI, Pedagogical strategies, Learning outcomes, Ethics, Higher education

Paper Title:
NAVIGATING THE AI HIGHWAY: TRANSFORMATIVE APPLICATIONS AND FUTURE TRAJECTORIES IN TRANSPORTATION
Author Name:
Inderpreet Kaur
Country:
India
Page No.:
8-13
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NAVIGATING THE AI HIGHWAY: TRANSFORMATIVE APPLICATIONS AND FUTURE TRAJECTORIES IN TRANSPORTATION
Author: Inderpreet Kaur

The transportation sector is undergoing a profound transformation with the integration of Artificial Intelligence (AI) technologies. This paper explores the diverse applications of AI in transportation, ranging from autonomous vehicles to traffic management systems. By examining real-world examples and discussing the challenges and opportunities associated with AI implementation, this paper aims to shed light on the transformative impact of AI in shaping the future of transportation. In an era where connectivity, efficiency, and sustainability are paramount, the infusion of AI into transportation systems stands as a cornerstone for revolutionizing the way we move and connect with our surroundings. This paper navigates through the intricate web of AI applications, offering a comprehensive understanding of how intelligent technologies are reshaping the very fabric of the transportation landscape. Machine learning algorithms enable predictive maintenance, reducing downtime and enhancing the reliability of vehicles and infrastructure. Moreover, AI-driven route optimization and dynamic scheduling enhance the efficiency of logistics and public transportation, minimizing congestion and reducing overall travel times. The advent of AI has also ushered in a new era of safety, with advanced driver assistance systems (ADAS) leveraging machine learning to analyze real-time data from sensors and cameras, providing timely warnings and interventions to prevent accidents. These technologies not only enhance road safety but also pave the way for the eventual transition to fully autonomous vehicles. As we journey into the future, the fusion of AI and transportation promises a paradigm shift, revolutionizing the way we perceive, interact with, and navigate our physical world.
Keywords: Artificial Intelligence, Smart Transport, Autonomous Vehicles

Paper Title:
AN AI-BASED INTELLIGENT HYBRID MODEL FOR DIABETES MELLITUS PREDICTION
Author Name:
Parminder Kaur, Kiranjit Kaur
Country:
India
Page No.:
14-20
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AN AI-BASED INTELLIGENT HYBRID MODEL FOR DIABETES MELLITUS PREDICTION
Author: Parminder Kaur, Kiranjit Kaur

Artificial Neural Networks (ANN) are widely employed for prediction in several arenas. ANNs are highly capable of interpreting and extracting meaningful insights from complex medical data sets with great precision and have thus been found to be immensely successful in disease prediction, diagnosis, and facilitating customized treatment approaches. The capability of Machine learning techniques to make accurate predictions at high speeds has resulted in their successful application in the healthcare sector as predictive models in almost all the departments of the hospitals.
Diabetes Mellitus, more commonly known as Diabetes is a widespread disease across the globe. Early prediction of diabetes is essential for timely interventions and lifestyle modifications. It also reduces the risks of complications facilitating more effective management strategies for enhanced long-term health outcomes.
This paper explores the possibility of combining the benefits of predicting Diabetes Mellitus using Artificial Neural Networks based models with the Nature Inspired Optimisation Algorithm, namely, Bacteria Foraging Optimisation Algorithm to propose a hybrid model for predicting the Diabetes Mellitus disease with higher accuracy.
Keywords: ANN, Artificial Neural Network, Bacteria Foraging Optimisation, Diabetes Mellitus, Hybrid model.

Paper Title:
GUARDIAN MIND: AI SHIELD FOR CYBER SECURITY
Author Name:
Gurjot Kaur Sidhu, Tanu
Country:
India
Page No.:
21-26
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GUARDIAN MIND: AI SHIELD FOR CYBER SECURITY
Author: Gurjot Kaur Sidhu, Tanu

Computer networks are protected against cyber-attacks or unintentional unwanted access to achieve cybersecurity. Thus is the need of the hour. Cybercriminals are rising day by day in all organizations, businesses and governments, so cybersecurity solutions are of utmost importance. Artificial intelligence can play an important role in it. The security intelligence modelling based on such AI methods can make the cybersecurity computing process automated and intelligent than the conventional security systems. However, it was clear that the problems of certain cybersecurity would only be solved efficiently if artificial intelligence approaches are expandable. In strategic decision making, comprehensive information is important. This paper emphasizes how sensitive networks and data can be protected from cyber-attacks by fusing artificial intelligence with cybersecurity. In a few years, the field of cyber security has expanded rapidly. As a result, Risks of cyber threats are consistently increasing. This paper discusses various applications of artificial intelligence in cyber security. Artificial Intelligence has shown promising results in cyber security examining the data through its decision making. This paper focuses on AI techniques which are being used in various applications in the battle against the cyber-attack.
KEYWORDS: Cyber security, Cyber-attacks, Artificial Intelligence

Paper Title:
MACHINE LEARNING: A WAY FORWARD TO STRESS DETECTION
Author Name:
Shikha Verma, Inderpreet Kaur
Country:
India
Page No.:
27-33
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MACHINE LEARNING: A WAY FORWARD TO STRESS DETECTION
Author: Shikha Verma, Inderpreet Kaur

Stress has become a significant aspect of everyone's life in today's competitive world. It has a wide range of direct and indirect effects and has become a major issue for a lot of individuals these days. The purpose of this research is to determine the causes of stress, anxiety, and depression that impact individuals from professional backgrounds. Our study seeks to characterize and identify how the development of technology has affected people's lives and stress levels. Modern ailments that impact a person physically, emotionally, cognitively, and socially may now be attributed mostly to stress. This article aims to educate people about early stress identification and treatment to prevent life-threatening situations using machine learning techniques. This paper suggests various supervised machine learning algorithms in detecting stress efficiently and effectively among a large number of people .Thus this paper will be useful in providing information about the use of machine learning techniques in the analysis of stress detection. KEYWORDS: Artificial Intelligence, Machine Learning, Stress Detection

Paper Title:
THE UTILIZATION OF ARTIFICIAL INTELLIGENCE IN MODERN GRAPHIC DESIGN
Author Name:
Ruchi Sikka, Shikha Verma
Country:
India
Page No.:
34-39
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THE UTILIZATION OF ARTIFICIAL INTELLIGENCE IN MODERN GRAPHIC DESIGN
Author: Ruchi Sikka, Shikha Verma

AI applications will eventually find their way into the design sector as long as computers continue to be used for visual design and technology keeps advancing. Graphic design is another industry where these kinds of applications are used. Artificial intelligence algorithms are being used to carry out graphic design tasks in a variety of disciplines, including corporate identity design, online design, and page design, all without the need for a graphic designer. This paper explores the impact of artificial intelligence on the graphic design industry as well as whether some graphic design apps powered by AI and machine learning algorithms are as creative as a graphic designer. The advent of social media, the online, multimedia, and electronic publishing has affected and challenged graphic design. The integration of artificial intelligence (AI) functionalities in graphic design software has made it possible for professionals to mechanize numerous design procedures. But this poses a challenge to the profession's skills and could lead to the emergence of a second class of "non-professional" designers, especially in less creative work where the emphasis is on producing practical artifacts quickly. This paper highlights impact of artificial Intelligence in the field of graphic design which will shape its future in a better way.
Computer scientists have been at the forefront of research in the nexus of AI and visual design.
Keywords: Graphic design, Automation, Interdisciplinary cooperation and graphic design

Paper Title:
ARTIFICIAL INTELLIGENCE IMPACT ON AGRICULTURE: A COMPREHENSIVE REVIEW
Author Name:
Sapanjeet Kaur
Country:
India
Page No.:
40-49
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ARTIFICIAL INTELLIGENCE IMPACT ON AGRICULTURE: A COMPREHENSIVE REVIEW
Author: Sapanjeet Kaur

This research paper explores the transformative effects of Artificial Intelligence (AI) on the agricultural sector. By analyzing the integration of AI technologies such as machine learning, computer vision, and robotics, we investigate the significant advancements in crop management, yield optimization, and sustainable farming practices. The paper also addresses the challenges and ethical considerations associated with the widespread adoption of AI in agriculture.
Keywords: Agriculture, Artificial Intelligence, Irrigation, Weeding, Crop Management;

Paper Title:
MACHINE LEARNING BASED PRODUCT RECOMMENDATION SYSTEM IN E-COMMERCE
Author Name:
Mandeep Kaur
Country:
India
Page No.:
50-55
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MACHINE LEARNING BASED PRODUCT RECOMMENDATION SYSTEM IN E-COMMERCE
Author: Mandeep Kaur

E-commerce websites and applications have been in use since a long time but the rate at which they are being used nowadays especially after the COVID-19 pandemic has increased rapidly where every single person is dependent on the internet and majorly e-commerce sites and applications to get their daily needs delivered at their doorstep. As there are multiple options available to select from, sometimes it becomes difficult for the user to find suitable products. Here comes the role of recommendation systems which recommend the best and appropriate content to the user based on their choices, exploration history, etc.
This paper presents a review on product recommendation systems based on machine learning techniques where machine learning is a subcategory of artificial intelligence and consists of algorithms which learn insights and recognize patterns from data thereby applying that learning to help make better decisions.
KEYWORDS: Machine learning, Product recommendation, E-commerce

Paper Title:
CREATING AN AI CONVERSATIONALIST BY USING ARTIFICIAL INTELLIGENCE TO ENGAGE IN CONVERSATIONS.
Author Name:
Tanu, Sonia Goyal
Country:
India
Page No.:
56-62
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CREATING AN AI CONVERSATIONALIST BY USING ARTIFICIAL INTELLIGENCE TO ENGAGE IN CONVERSATIONS.
Author: Tanu, Sonia Goyal

A Smart Personal Assistant (SPA) or Intelligent Virtual Assistant (IVA) could be a software representative that answers queries and completes tasks on behalf of a non-public user. Those specifically accessible through online chat, the term “chatbot” are occasionally used, when referring to virtual assistants in general. The first contribution is the assistant paradigm, which is made up of different in-build apps controlled by a command prompt. Applications are thought of as self-evaluating grey boxes that answer to the questions from different users. At a subsequent time, the command prompt forwards the user's request to the most suitable application by considering the user's command, context (like previous interactions), and the answers given by applications. The second contribution involves the use of a user-defined model to automate the online escalation of the behaviour of operating system on the end user's computer in order to convey the modules in the Windows operating system. In order to expedite the mental learning process of the user, multiple user and application simulator parameterizations are activated, covering a range of real-world scenarios. The outcome authenticates that action-based learning is sufficient for learning a pre-defined model through the virtual assistant by using a custom-built data set that is defined by the user in all arrangements of interest that are taken into account.
Keywords SPA, IVA, Virtual Assistant, Simulator Parameterizations

Paper Title:
ROLE OF ARTIFICIAL INTELLIGENCE IN AGRICULTURE
Author Name:
Gagandeep Kaur, Gaganpreet Kaur
Country:
India
Page No.:
63-69
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ROLE OF ARTIFICIAL INTELLIGENCE IN AGRICULTURE
Author: Gagandeep Kaur, Gaganpreet Kaur

Agriculture plays an important role in the progress of a nation’s economy. The field of agriculture encounters many challenges like disease, weed and pest influx, improper soil management, insufficient drainage and irrigation, and many more. A fast increase in population, shortage of farmland due to urbanization, decline in the availability of natural resources, unpredictable changes in climate, and everchanging market trends are pushing the agricultural production system into a new archetype. Artificial Intelligence (AI) with its laborious learning abilities can play an important role in the agronomics area. Systems are being established to support the agricultural experts by limiting the use of water, pesticides, conserving soil fertility, food security concerns. The algorithms so employed use large sets of data precisely and quickly, protecting the security and privacy of data. These AI-powered farming solutions help a farmer to have more output with less effort, improving the quality, and guaranteeing a speedy go-to-market (GTM) approach for crops. Agriculture has thus changed with the use of AI and its technologies. The current paper explores how the AI-powered techniques can be used in soil management, crop management, weed management, and disease management.
Keywords Agriculture, Artificial Intelligence, Crop Management, Disease Management, Robotics, Soil Management, Weed Management.

Paper Title:
TOWARDS RESPONSIBLE AI IN CYBERSECURITY: CURRENT TRENDS, ETHICAL CONSIDERATIONS AND BEST PRACTICES
Author Name:
Inderpreet Kaur, Ruchi Sikka
Country:
India
Page No.:
70-76
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TOWARDS RESPONSIBLE AI IN CYBERSECURITY: CURRENT TRENDS, ETHICAL CONSIDERATIONS AND BEST PRACTICES
Author: Inderpreet Kaur, Ruchi Sikka

Artificial Intelligence (AI) stands as a preeminent technological advancement, greatly facilitating the simplification of our daily lives. Its integration spans across diverse domains, from healthcare to entertainment, and from transportation to education. AI is also playing a pivotal role in cybersecurity as it can be used for detecting and preventing cyberattacks in real time. It can also be used to monitor social media, identify fake news, and prevent phishing attacks. However the intricate nature of AI results in a combination of positive and negative outcomes. On one hand, it imparts manifold benefits to humanity; conversely, its inappropriate deployment introduces a spectrum of threats within the cyber realm.
Navigating the complex landscape of AI necessitates a diligent approach, with users shouldering the responsibility to adhere to established best practices and consider ethical implications. This paper attempts to delve into the contemporary trends delineating the utilization of AI in cybersecurity. Simultaneously, it aims to explain the ethical considerations that demand meticulous attention and the best practices necessary for the judicious and responsible use of AI. In this paper, an attempt has been made to understand AI thoroughly and engage with its powerful capabilities in a mindful and ethical way.
Keywords: Best practices, Cyber Security, Responsible AI.

Paper Title:
APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN AUTOMOBILES
Author Name:
Gaganpreet Kaur Wadhwa, Kavita
Country:
India
Page No.:
77-87
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APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN AUTOMOBILES
Author: Gaganpreet Kaur Wadhwa, Kavita

This research paper explores the various applications of Artificial Intelligence (AI) in the automotive industry. As technology continues to advance, AI is playing a crucial role in transforming the way automobiles are designed, planned, manufactured, and operated. This paper provides an overview of key AI applications in the automotive sector, highlighting their impact on safety, efficiency, and user experience. The recent application of artificial intelligence showcases a great prospect for improving the whole automotive life cycle. The development of big data sensing, recording, and storage offers a huge opportunity to obtain a better understanding of the performance of automobiles, which will ultimately lead to a better and safer automobile.
Keywords Artificial Intelligence, Automotive Life Cycle, Big Data Sensing.

Paper Title:
EDUGPT: INTELLIGENT EDUCATION CHAT
Author Name:
Sonia Goyal, Gurjot Kaur Sidhu
Country:
India
Page No.:
88-93
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EDUGPT: INTELLIGENT EDUCATION CHAT
Author: Sonia Goyal, Gurjot Kaur Sidhu

The chatbot provides thoughtful and useful answers by observing large amount of data. The renowned scientists, researchers, independent researchers and engineers talk about how expert system is revolutionizing education today. This paper highlights possible issues and difficulties and talks about chatbot capabilities and application in the educational field. According to our initial judgement, chatbot performs differently when it comes to finance, coding, arithmetic, and general public inquiries, among other topic areas. There are several obvious disadvantages of using this tool, including the possibility of providing false or inaccurate information and avoiding plagiarism detectors in situations where originality is critical. Despite its ability to help teachers create educational content, make suggestions, and act as an online guide for students answering questions, it is still a useful tool for teaching. When accuracy is crucial, the frequently discussed "hallucinations" associated with Generative AI in general and Chatbot in particular can make its application unproductive. A stochastic measure to facilitate sensitive and real communication with its users is what virtual assistant is missing. It Should be utilized as an instructional tool, academic norms and assessment procedures employed by educational establishments must be revised. Teaching instructors and students about its features and limitations is essential if we are to address the game-changing significance it has on the classroom.
KEYWORDS: Chatbot, GPTEducation, IoT, Machine learning.

Paper Title:
ADOPTING INNOVATIVE AI TECHNIQUES FOR SOCIAL MEDIA ACTIVITIES
Author Name:
Aarti Thakur, Charu Gupta
Country:
India
Page No.:
94-99
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ADOPTING INNOVATIVE AI TECHNIQUES FOR SOCIAL MEDIA ACTIVITIES
Author: Aarti Thakur, Charu Gupta

Social media gives businesses the chance to reach the greatest number of people by gauging consumer perception, understanding emotions, and gaining insight into some of the consumer's reactions to products and brands. However, both individuals and large companies are eager to protect the privacy of their data, which can only be done by utilizing artificial intelligence tools and applications. The purpose of this scientific paper is to examine and debate the effects of artificial intelligence applications and their diverse technologies on social media by applying the critical analysis and evaluation method to earlier, more recent studies that addressed the effects of AI on social media.
This paper examines several AI techniques and how they affect social media businesses. Additionally, artificial intelligence helps to maintain and secure user and digital owner privacy and data on social networking sites. It also helps to boost the profits of businesses that use social media platforms for marketing through artificial intelligence techniques. This study is carrying out additional research on the role that artificial intelligence plays in boosting the profits that social media platforms make, cutting the expenses associated with creating and managing social media, and ultimately emphasizing the need for social media companies to be committed to using artificial intelligence techniques for maintaining user's privacy.
Also, social media driven by artificial intelligence (AI) provides digital capabilities that enable enterprises to identify, filter, identify, and anticipate issues with potential remedies using digital health data.
Keywords: Artificial Intelligence, Intelligent Insights; Media Monitoring, Online Reputation Management, Social Listening, Social Media, Social Media Monitoring.

Paper Title:
DECENTRALIZED AUTHORIZATION INFRASTRUCTURE EMPLOYING PERMISSIONED BLOCKCHAIN TECHNOLOGY
Author Name:
Dinesh Yadav, Vishali Sharma
Country:
India
Page No.:
100-111
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DECENTRALIZED AUTHORIZATION INFRASTRUCTURE EMPLOYING PERMISSIONED BLOCKCHAIN TECHNOLOGY
Author: Dinesh Yadav, Vishali Sharma

The purpose of access control systems is to prevent unwanted access to system resources. Depending on system policies, organizational security procedures, and the sensitivity level of the resources, these systems adhere to one of the accessible techniques for access control. Characteristics based access control (CBAC) is an access control paradigm that controls access rights according to characteristics of subjects, resources and context. These traits are evaluated in accordance with established policies to make decisions regarding access. The figure shows the CBAC model’s summary.

Paper Title:
TRANSFORMING EDUCATION: ROLE OF ARTIFICIAL INTELLIGENCE IN TEACHING, LEARNING, AND BEYOND
Author Name:
Charu Gupta, Bhawna
Country:
India
Page No.:
112-118
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TRANSFORMING EDUCATION: ROLE OF ARTIFICIAL INTELLIGENCE IN TEACHING, LEARNING, AND BEYOND
Author: Charu Gupta, Bhawna

While technology has always been vital to education, its application is now more widespread than before because of the growing accessibility of smart devices and web-based curricula. Artificial intelligence is being applied in education in a wide range of ways to support students' learning. The study emphasises the AI-powered technologies that have an immediate impact on education and will have a lasting impact. This study aims to investigate the use of artificial intelligence applications (AIA) in the educational environment. In many aspects, artificial intelligence (AI) applications offer a solution to the exponential increase of contemporary issues, which restrict access to education and learning. Yet we also suggested that the problems in education could be brought on by AI in terms of improper use of AI methods, shifting teacher and student roles, and ethical and societal concerns. The study offers an overview of the field of artificial intelligence (AI) in education, which contributes to the theoretical underpinnings of AI in education and offers educators and AI engineers a viable avenue for future cooperative study.
Keywords: - Artificial intelligence (AI), Chatbots, Learning Management System (LMS), Robotics, Virtual Reality (VR).

Paper Title:
UNLOCKING CONTINUOUS AIOPS LEARNING: HARNESSING AI FOR DYNAMIC OPERATIONS
Author Name:
Bhawna, Aarti Thakur
Country:
India
Page No.:
119-125
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UNLOCKING CONTINUOUS AIOPS LEARNING: HARNESSING AI FOR DYNAMIC OPERATIONS
Author: Bhawna, Aarti Thakur

The term Algorithmic IT operations, or AIOps, was first used by Gartner. It stands for automated solutions made up of machine learning algorithms and methods to address unclear, difficult, and important operational IT challenges. Over the past few years, AIOPS has grown significantly, leading more organizations and providers to begin investigating AIOps solutions. AI operations were redefined as "Artificial Intelligence for IT Operations."
AIOps also lowers operating costs and human labour while increasing DevOps productivity and service quality. In this study, we first provide an overview of AIOps, including its elements, features, use cases, platform requirements, and practical difficulties. After that, we suggest a framework design for the AIOps platform based on the findings and research we have already done. In this paper, we present a new online log anomaly detection technique using DevOps that aids in greatly lowering the log anomaly detection time-to-value. AIOps automates operational tasks like artificial intelligence technologies, such as machine learning. It aids in the intelligent classification of log events, and their solution automation. This approach can automatically avoid potentially biased models generated by tainted log data and update the Log Anomaly Detection model continuously during runtime.
AIOps is still developing, necessitating ongoing education and development through empirical study and scientific research.
Keywords AIOps, Anomaly Detection, Artificial Intelligence, Devops, Log Operations, Machine Learning.

Paper Title:
REVOLUTIONIZING MACHINE LEARNING THROUGH BLOCKCHAIN: AN OPTIMISTIC PERSPECTIVE
Author Name:
Dinesh Yadav, Vishali Sharma
Country:
India
Page No.:
126-137
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REVOLUTIONIZING MACHINE LEARNING THROUGH BLOCKCHAIN: AN OPTIMISTIC PERSPECTIVE
Author: Dinesh Yadav, Vishali Sharma

The convergence of blockchain technology with machine learning has garnered notable attention, spurred by the vision of decentralized, secure, and transparent AI services. Within this landscape, we present Chain learn (Blockchain-Powered Optimistic Machine Learning), a novel methodology that empowers blockchain frameworks to perform AI model inference. Chain learn employs an interactive fraud-proof protocol, reminiscent of optimistic rollup systems, to ensure decentralized and verifiable consensus for machine learning services, thereby enhancing trust and transparency. In contrast to zkML (Zero-Knowledge Machine Learning), Chain learn offers cost-effective and highly efficient ML services with minimal participation requirements. Notably, Chain learn facilitates the execution of extensive language models, such as 7B-LLaMA, on standard PCs without GPUs, substantially broadening accessibility. Through the amalgamation of blockchain and AI capabilities via Chain learn, we embark on a transformative journey towards accessible, secure, and efficient on-chain machine learning.
Keywords: Blockchain, Machine Learning, Fraud Proof, Rollup.

Paper Title:
AI TECHNIQUES FOR GAME DEVELOPMENT
Author Name:
Kavita Kumari, Gagandeep Kaur
Country:
India
Page No.:
138-143
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AI TECHNIQUES FOR GAME DEVELOPMENT
Author: Kavita Kumari, Gagandeep Kaur

As the graphics race subsides and gamers grow weary of predictable and deterministic game characters, game developers must put aside their “old faithful” finite state machines and look to more advanced techniques that give the users the gaming experience they crave. More intelligent, adaptive, and realistically behaving characters will be the next big thing in the industry, rather than more polygons, better textures, or faster frames per second. This paper covers the numerous artificial intelligence approaches that are now in use by game creators in addition to those that are new to the field. The techniques covered in this paper are finite state machines, scripting, agents, flocking, fuzzy logic, decision trees, neural networks, genetic algorithms, and extensible AI. This paper introduces each of these methods that can be applied to games.
Keywords Artificial Intelligence, Computer Games, Fuzzy Logic

Paper Title:
THE IMPACT OF AI ON BUSINESS
Author Name:
Sahib Singh
Country:
India
Page No.:
144-147
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THE IMPACT OF AI ON BUSINESS
Author: Sahib Singh

This paper explores the transformative impact of artificial intelligence (AI) on business across various domains, including marketing, finance, operations, and human resources. It delves into the historical evolution of AI technologies, their current applications, and the benefits they bring, such as enhanced efficiency, improved decision-making, and personalized customer experiences. Through case studies of companies like Amazon, JPMorgan Chase, and Tesla, the paper highlights successful AI implementations and the challenges faced. It also addresses ethical and social implications, including job displacement and algorithmic bias. Finally, the paper examines future trends and provides strategic recommendations for businesses adopting AI, emphasizing the importance of ethical practices and continuous innovation [1].
KEYWORDS: Artificial Intelligence (AI) , Business Automation, Predictive Analytics, AI Integration , Supply Chain Management

Paper Title:
PROPOSING A MACHINE LEARNING ALGORITHM TO PREDICT FUTURE WORKLOADS IN CLOUD COMPUTING ENVIRONMENTS
Author Name:
Himat Singh
Country:
India
Page No.:
148-150
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PROPOSING A MACHINE LEARNING ALGORITHM TO PREDICT FUTURE WORKLOADS IN CLOUD COMPUTING ENVIRONMENTS
Author: Himat Singh

Cloud computing environments experience dynamic and fluctuating workloads that require efficient resource management to ensure optimal performance and cost-efficiency. Predicting future workloads accurately is critical for proactive resource allocation and scaling. This paper proposes a machine learning-based approach to predict future workloads in cloud environments. The proposed methodology leverages Long Short-Term Memory (LSTM) networks, which are well-suited for time series forecasting due to their ability to capture temporal dependencies. I demonstrate the effectiveness of this approach using historical workload data and evaluate its performance using key metrics such as Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE).
KEYWORDS: Machine Learning, ARIMA, LSTM, Optimization, RMSE

Paper Title:
CURRENT AND FUTURE DEVELOPMENT OF RESEARCH IN MUSIC BASED ON PARALLELS WITH NATURAL LANGUAGE PROCESSING
Author Name:
Kanwaldip Kaur
Country:
India
Page No.:
151-156
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CURRENT AND FUTURE DEVELOPMENT OF RESEARCH IN MUSIC BASED ON PARALLELS WITH NATURAL LANGUAGE PROCESSING
Author: Kanwaldip Kaur

Modernism has affected all of the arts with its core value of subjectivity, which distorted the objective basis of aesthetic judgment. Literature was impacted the least, fine art was substantially impacted, and music has been completely dominated by it. Music composers originally wrote compositions by hand to express themselves. Since the discovery of artificial intelligence, computer scientists discover how to create a program that will help music composers write their compositions. The hypothesis of the paper is that the domain of Natural Languages Processing (NLP) resembles current research in music so one could benefit from this by employing NLP techniques to music. In this paper the similarity between both domains is described. The levels of NLP are listed with pointers to respective tasks within the research of computational music. A brief introduction to history of NLP enables locating music research in this history. Possible directions of research in music, assuming its affinity to NLP, are introduced. Current research in generational and statistical music modeling is compared to similar NLP theories. The paper is concluded with guidelines for music research and information retrieval.

Paper Title:
ADVANCES AND APPLICATIONS OF MACHINE LEARNING IN [SPECIFIC FIELD]
Author Name:
Sandeep Kaur Gill
Country:
India
Page No.:
157-159
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ADVANCES AND APPLICATIONS OF MACHINE LEARNING IN [SPECIFIC FIELD]
Author: Sandeep Kaur Gill

This paper explores the recent advancements in machine learning (ML) techniques, methodologies, and their applications in various fields. We review key algorithms, architectures, and models that have contributed to the evolution of ML and highlight their practical uses in domains such as healthcare, finance, and autonomous systems. The paper also addresses challenges faced in the implementation and scalability of ML models and discusses the future directions of research in this rapidly evolving field.
KEYWORDS: Machine Learning, Deep Learning, Neural Networks, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Applications, Algorithms, Challenges

Paper Title:
CYBERSECURITY IN THE DIGITAL AGE: EMERGING THREATS, CHALLENGES, AND MITIGATION STRATEGIES
Author Name:
Gagandeep Singh
Country:
India
Page No.:
160-163
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CYBERSECURITY IN THE DIGITAL AGE: EMERGING THREATS, CHALLENGES, AND MITIGATION STRATEGIES
Author: Gagandeep Singh

Cybersecurity has become a critical concern in the digital age, as the increasing reliance on technology has exposed individuals, organizations, and governments to a wide range of cyber threats. This paper explores the evolving landscape of cybersecurity, examining the types of cyber threats, their impact, and the challenges in mitigating these risks. It also discusses emerging technologies and strategies to enhance cybersecurity and protect sensitive data. The study concludes with recommendations for addressing cybersecurity challenges and fostering a secure digital environment.

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