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

Advances in Robotics and AI: Case Studies Unveiling Future Applications

The paper explores recent advancements and future applications in robotics and artificial intelligence (AI), emphasizing spatial and visual perception enhancement alongside reasoning. Noteworthy studies include the development of a knowledge distillation framework for improved glioma segmentation, a parallel platform for robotic control, a method for discriminating neutron and gamma-ray pulse shapes, HDRFormer for high dynamic range (HDR) image quality improvement, a unique binocular endoscope calibration algorithm, and a tensor sparse dictionary learning-based dose image reconstruction method.

28 Nov 2023

Role of AI in Personalization

This article explores the growing role of Artificial Intelligence (AI) in personalization, particularly in businesses and organizations aiming to enhance customer satisfaction and engagement. AI, specifically through machine learning (ML), enables the collection and analysis of vast amounts of customer data to provide personalized experiences, significantly improving customer loyalty, satisfaction, and overall engagement.

27 Nov 2023

How is AI Used in Personalized Medicine?

This article elucidates how artificial intelligence (AI) is reshaping medicine through personalized approaches. The article delves into the applications of AI techniques, such as support vector machines (SVM), artificial neural networks (ANN), fuzzy logic, and expert systems, in enhancing disease treatment precision and drug administration. With a focus on specific AI applications, from SVM's role in fall detection to ANN's contributions in disease diagnosis, the article unveils the transformative impact of AI in tailoring healthcare to individual patients, fostering improved outcomes and reduced side effects.

27 Nov 2023

Efficient Dairy Cow Behavior Recognition: A Two-Pathway X3DFast Model

Researchers introduce the X3DFast model, a spatiotemporal behavior recognition model for dairy cows. This efficient and lightweight model, with a two-pathway architecture, demonstrates high accuracy (over 97%) in recognizing common dairy cow behaviors such as walking, standing, lying, and mounting, outperforming existing models in both speed and accuracy, offering a promising solution for real-world agricultural environments.

24 Nov 2023

Automation of Sediment Core Analysis: A Deep Learning Approach

Researchers propose a novel deep learning (DL) method utilizing convolutional neural networks (CNNs) for automatic sediment core analysis. The DL-based approach employs semantic segmentation on digital images of sediment cores, demonstrating high accuracy in interpreting sedimentary facies, offering a precise, efficient tool for subsurface stratigraphic modeling in geoscience applications.

23 Nov 2023

Advancing Deep Learning with Differentiable Visual Computing

A recent article in Nature Machine Intelligence delves into the progress and challenges of Differentiable Visual Computing (DVC). The study proposes a unified DVC pipeline, integrating differentiable geometry, physics, and animation, enhancing data efficiency, accuracy, and speed in machine learning applications for real-world physical systems. The authors review key aspects, including rendering, animation, and geometry, highlighting the potential of DVC to bridge the gap between visual computing and deep learning.

22 Nov 2023

AI in Scientific Research: From Hypothesis Generation to Robotic Experimentation

This article explores the expanding role of artificial intelligence (AI) in scientific research, focusing on its creative ability in hypothesis generation and collaborative efforts with human researchers. AI, particularly large language models (LLMs), aids in proposing hypotheses, identifying blind spots, and collaborating on broad hypotheses, showcasing its potential in various fields like chemistry, biology, and materials science.

21 Nov 2023

The Role of AI in Personalized Marketing

This article explores the pivotal role of artificial intelligence (AI), specifically machine learning (ML), in personalized marketing. It highlights the significance of personalized marketing in today's consumer landscape and how AI technologies analyze vast amounts of data to tailor marketing messages, optimize campaigns, and predict future consumer behaviors.

20 Nov 2023

Use of Artificial Intelligence in Smart Grids

This article delves into the transformative role of artificial intelligence (AI) in smart grids, addressing their benefits, applications, and challenges. AI enhances smart grids by enabling more accurate forecasting, sophisticated outage alerts, optimized power yield, improved automated switching, flexible demand-side management, enhanced cybersecurity, cost reduction, and increased grid resilience.

20 Nov 2023

Instant3D: Accelerating Text-to-3D Generation with Efficient Neural Networks

This paper introduces Instant3D, a groundbreaking framework for rapid text-to-3D generation. Unlike existing methods that rely on time-consuming optimization, Instant3D achieves remarkable speed by utilizing a novel neural network that constructs a 3D triplane directly from a text prompt. With the capability to generate a 3D object in less than one second, the proposed approach demonstrates superior efficiency without compromising on qualitative and quantitative performance.

17 Nov 2023