Samudrapom Dam

Bachelor of Technology: Electronics and Communication Engineering Maulana Abul Kalam Azad University of Technology

Material Science, Advanced Technologies, Metals, Clean Technologies

Samudrapom Dam is a freelance scientific and business writer based in Kolkata, India. He has been writing articles related to business and scientific topics for more than one and a half years. He has extensive experience in writing about advanced technologies, information technology, machinery, metals and metal products, clean technologies, finance and banking, automotive, household products, and the aerospace industry. He is passionate about the latest developments in advanced technologies, the ways these developments can be implemented in a real-world situation, and how these developments can positively impact common people.

Samudrapom also writes about the significance of different technologies for modern businesses, such as how the implementation of technology can improve a business process or streamline the entire business operation of an enterprise. He completed his Bachelor of Technology in Electronics and Communication Engineering in 2018 from Maulana Abul Kalam Azad University of Technology (MAKAUT). He is an avid reader and enjoys playing chess.

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Articles from Samudrapom

The Transformative Role of AI in the Gaming Industry

This article explores the profound impact of artificial intelligence (AI), particularly reinforcement learning (RL), on the gaming industry. It delves into the significance of AI in creating realistic nonplayable characters, data mining for user behavior, and highlights key AI advancements such as Deep Q-network, Dueling Networks, AlphaGo, OpenAI Five, and AlphaStar. The transformative potential is acknowledged, but ethical considerations, computational costs, and explainability remain crucial considerations in implementing AI algorithms in gaming.

2 Jan 2024

AI-Driven Customer Segmentation

This article underscores the pivotal role of customer segmentation in optimizing marketing strategies. It delves into the significance of AI-powered segmentation, detailing key aspects such as data processing, predictive analytics, personalization, cost-efficiency, and real-time insights. Despite advancements, challenges like data bias and explainability are acknowledged, with proposed solutions like DeepLimeSeg highlighted, emphasizing the ongoing need for research in refining AI implementations for effective customer segmentation.

2 Jan 2024

AI-Driven Anomaly Detection

This article explores the fundamentals of anomaly detection, emphasizing its critical role in various domains. It delves into the basics of anomaly detection, its application in fields such as intrusion detection and fraud detection, and details classification-based network anomaly detection techniques, including SVM-based, neural network-based, and rule-based approaches.

30 Dec 2023

AI Revolution in GDPR Compliance

This article explores the pivotal role of Artificial Intelligence (AI) in navigating and ensuring compliance with the General Data Protection Regulation (GDPR). GDPR, designed to safeguard personal data and privacy, is met with increasing complexity, making AI a crucial tool for automating compliance workflows. The article discusses AI applications, recent developments, and frameworks like INTREPID, convolutional neural networks, and rule-based approaches that streamline GDPR compliance, enhance document analysis, and minimize potential breaches.

30 Dec 2023

What are Deep Neural Networks?

Delving into the realm of Deep Neural Networks (DNNs), this article explores diverse architectures and their applications. From Restricted Boltzmann Machines (RBMs) enhancing model efficiency to Deep Belief Networks (DBNs) excelling in unsupervised learning, the discussion extends to Autoencoders (AEs) for dimensionality reduction and Deep Convolutional Neural Networks (CNNs) revolutionizing image processing.

29 Dec 2023

AI's Crucial Role in Autonomous Robots

The integration of Artificial Intelligence (AI) in autonomous robots is reshaping industries, driving advancements in machine learning, computer vision, and natural language processing. From supervised and unsupervised learning to reinforcement learning, AI empowers robots to learn, make decisions, and navigate complex environments. Recent developments showcase autonomous robot models, such as the Q-model based on deep reinforcement learning, emphasizing AI's central role in their developmental lifecycle.

29 Dec 2023

The Power of AI in Supply Chain Optimization

This article explores the transformative impact of Artificial Intelligence (AI) on supply chain optimization. It highlights AI's role in predicting demand, improving logistics, and enhancing overall efficiency. The benefits include higher efficiency, better demand planning, greater visibility, cost savings, enhanced collaboration, and increased agility. Real-world applications across various sectors demonstrate how organizations leverage AI to streamline operations, reduce costs, and meet customer demands.

29 Dec 2023

The Use of AI in Predictive Maintenance for Vehicles

This article delves into the integration of artificial intelligence (AI), particularly deep learning (DL), for predictive maintenance in the automotive industry under Industry 4.0. A DL-based framework is outlined, encompassing data collection, mapping, cloud transmission, modeling, and decision support. Various AI techniques, including machine learning algorithms, are discussed for applications such as fault detection in engines, state-of-health estimation for electric vehicle (EV) batteries, and full vehicle fault detection.

25 Dec 2023

AI Transforms Ride-Sharing

This article explores the increasing use of AI algorithms in ride-sharing, focusing on dynamic pairings, route optimization, and the creation of a greener and more equitable landscape. Recent studies demonstrate AI's effectiveness in reducing social barriers, identifying factors influencing shared rides, and optimizing dispatch of vehicle fleets. While AI offers significant benefits, challenges such as data bias, safety concerns, and ethical considerations must be addressed for a successful integration into ride-sharing platforms.

22 Dec 2023

How Does AI Help in Adaptive Learning?

This article explores the integration of artificial intelligence (AI) into adaptive learning, revolutionizing education by providing personalized learning experiences. It delves into the importance of AI in adapting to individual learner needs, the components of AI-powered adaptive learning systems, benefits, challenges, and the impact of AI on key education metrics.

22 Dec 2023