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

AI in Healthcare: Revolutionizing Diagnosis and Treatment

Artificial intelligence is reshaping healthcare by improving diagnosis accuracy, streamlining treatment protocols, and enhancing patient engagement. Despite its potential, challenges in data quality, privacy, and human interpretation must be addressed for effective implementation.

7 Aug 2023

The Power of AI in the Energy Sector

AI is playing a pivotal role in the digital transformation of the energy sector, offering immense opportunities for growth, efficiency, and innovation. By optimizing energy grids, predicting renewable energy availability, and enabling efficient energy trading, AI is reshaping the energy landscape. Applications of AI in energy include power theft detection, grid security, load forecasting, fault diagnosis, and smart grid management.

5 Aug 2023

Predicting Strokes with ML and XAI: A Transparent and Accurate Approach

Researchers demonstrated the use of heterogeneous machine learning (ML) classifiers and explainable artificial intelligence (XAI) techniques to predict strokes with high accuracy and transparency. The proposed model, utilizing a novel ensemble-stacking architecture, achieved exceptional performance in stroke prediction, with 96% precision, accuracy, and recall. The XAI techniques used in the study allowed for better understanding and interpretation of the model, paving the way for more efficient and personalized patient care in the future.

3 Aug 2023

Federated Learning as a Service: Enhancing Trustworthy AI in B5G/6G Networks

https://www.sciencedirect.com/science/article/pii/S0140366423002724?via%3Dihub

2 Aug 2023

AI-Driven Automated Discovery of Polymer Membranes for Carbon Capture

Researchers demonstrate an AI-driven automated workflow for discovering efficient polymer membranes for carbon capture, overcoming previous limitations. This approach combines generative design and physical validation, offering a computational screening alternative before lab validation. The study showcases the effectiveness of the proposed method, promising accelerated material discovery.

1 Aug 2023

AI-Powered Chatbots in Customer Support

AI-driven chatbots are revolutionizing customer support by automating interactions, providing prompt responses, and improving service efficiency. However, challenges related to human-like interaction and meeting customer expectations need to be addressed for optimal chatbot performance. Recent developments have introduced advanced AI chatbots that offer 24/7 support, multilingual capabilities, and seamless integration with CRM systems, enhancing the overall customer experience.

31 Jul 2023

AI in Credit Scoring: Transforming the Lending Industry

AI in credit scoring is revolutionizing the lending industry by accurately predicting credit risk and expanding credit access. However, concerns regarding data security, bias, and model interpretability must be addressed through AI governance guidelines and fair lending regulation. Recent developments focus on hybrid AI models and feature selection approaches to enhance model performance and efficiency.

30 Jul 2023

AI-Driven Agricultural Robots: Advancing Farming Efficiency

This article explores the integration of Artificial Intelligence (AI) in agricultural robots, showcasing its various applications such as enhanced vision-based perception for weeding, crop scouting, plant phenotyping, anomaly detection, spraying applications, and harvesting. Recent developments include the use of AI algorithms in creating affordable and efficient autonomous agricultural robots for precision farming.

29 Jul 2023

Unveiling Drought Impacts: How Explainable Machine Learning Revolutionizes Prediction and Assessment

This study introduces an explainable machine learning (ML) pipeline that predicts and assesses complex drought impacts. By utilizing the XGBoost model and the SHAP model, researchers achieved superior performance in predicting multi-dimensional drought impacts compared to baseline models. The study emphasizes the importance of model explainability, as it enhances trust and enables stakeholders to better understand the relationships between drought impacts and indicators.

26 Jul 2023

Harnessing the Power of Artificial Intelligence in Agriculture

This article discusses the increasing role and applications of artificial intelligence (AI) techniques in agriculture, covering areas such as crop management, pest and disease management, irrigation and soil management, weed management, and yield prediction. The article also highlights the challenges and the journey ahead for AI adoption in agriculture, including the need for universal access to AI solutions and integration with existing farming systems.

24 Jul 2023