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

Enhancing Human Welfare Through AI-Enabled Stingy Bots in Sharing Networks

Researchers explored the influence of stingy bots in improving human welfare within experimental sharing networks. They conducted online experiments involving artificial agents with varying allocation behaviors, finding that stingy bots, when strategically placed, could enhance collective welfare by enabling reciprocal exchanges between individuals.

25 Oct 2023

Applications of AI in Inventory Management

This article delves into the increasingly vital role of artificial intelligence (AI) in inventory management. It highlights the significance of AI in addressing challenges related to inventory management, such as demand forecasting, customer support, warehouse management, material procurement, marketing, and dynamic safety stock management.

24 Oct 2023

How Can AI Transform Fleet Management?

This article explores the growing role of artificial intelligence (AI) in the field of fleet management. It discusses the importance of AI in addressing challenges faced by fleet management companies, such as delays, ineffective repairs, data silos, and staff shortages.

24 Oct 2023

AI-operated Satellites to Boost Global Connectivity and Improve Land Use

Tenchijin, a Japanese startup, is utilizing deep learning and satellite data to address issues with satellite internet, particularly the impact of weather on ground stations. Their AI system accurately predicts suitable ground stations, providing more reliable internet connectivity, and their COMPASS service has applications in renewable energy, agriculture, and city planning by optimizing land use decisions using a variety of data sources.

23 Oct 2023

Automatic LLM Evaluation on Protocol Planning Using BioPlanner

Researchers introduced a framework, BioPlanner, for automatically evaluating the performance of large language models (LLMs) in planning experimental protocols in biology. They addressed the challenge of evaluating LLM-generated protocol accuracy by utilizing pseudocode representations and a dataset called BIOPROT, demonstrating the effectiveness of the approach in generating precise and executable laboratory protocols.

20 Oct 2023

Robot Control with Eye Artifacts Using Brain‑Computer Interface for Assistive Applications

Researchers have developed a brain-computer interface (BCI) system that enables individuals with disabilities to control an assistive robot using eye artifacts. The BCI utilizes a novel thresholding-based pattern recognition algorithm to detect eye artifacts in real-time, offering a promising way for people with neurodegenerative disorders to interact with their environment and improve their quality of life.

19 Oct 2023

AI-Powered Detection of Synthetic Cannabinoids: A Deep Learning Breakthrough

This article delves into the use of deep convolutional neural networks (DCNN) to detect and differentiate synthetic cannabinoids based on attenuated total reflectance Fourier-transform infrared (ATR-FTIR) spectra. The study demonstrates the effectiveness of DCNN models, including a vision transformer-based approach, in classifying and distinguishing synthetic cannabinoids, offering promising applications for drug identification and beyond.

18 Oct 2023

A Novel Approach to Reduce Arrival Interval at High-speed Railway Stations

Researchers have proposed an integrated operation method to reduce arrival interval conflicts at high-speed railway stations, addressing the challenge of trains entering stations during emergencies. By combining mathematical analysis and intelligent optimization algorithms, this method optimizes train operation strategies to compress arrival intervals and minimize delays, demonstrated through field tests and simulations.

17 Oct 2023

How Can AI Help in Waste Management?

This article delves into the significance of AI in optimizing waste management, discussing applications ranging from better planning and disposal strategies to route optimization. It explores AI techniques used in waste management and major applications, including solid waste characteristics prediction, bin level detection, and vehicle routing.

16 Oct 2023

How Can AI be Applied to Precision Medicine?

The integration of artificial intelligence (AI) and precision medicine (PM) holds great potential for revolutionizing healthcare. This article explores the critical role of AI in PM, including disease diagnosis and prediction, real-time health monitoring, drug discovery, and various AI techniques used in healthcare applications. Recent studies demonstrate AI's ability to outperform traditional diagnostic methods, emphasizing its significance in the medical field.

16 Oct 2023