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

Enhanced Brain Response Prediction to Real-World Scenes Through Multimodal Pre-training

In this paper, researchers showcase that models employing natural language feedback and extensive, diverse training sets significantly improved predictions of brain responses to complex real-world scenes. By utilizing contrastive language-image pre-training (CLIP), these models generated more nuanced and grounded representations of natural scenes, outperforming prior models based on smaller, less varied datasets.

16 Nov 2023

Assessing Flood Susceptibility in Cyclone-Prone Regions Using Random Forest Machine Learning

This article delves into the assessment of flood susceptibility in Australian tropical cyclone-prone regions, focusing on the impact of tropical cyclone Debbie in 2017. Researchers employ a Random Forest (RF) machine learning model, optimized by differential evolution, and satellite remote sensing data to create a flood hazard map for the Airlie Beach, Mackay, and Bowen regions in North Queensland.

15 Nov 2023

Revolutionizing Robot Navigation Using AI

As robots play an increasingly vital role in diverse applications, from search and rescue to manufacturing, their navigation systems are evolving with the integration of artificial intelligence (AI). This article emphasizes the significance of AI in addressing challenges faced by conventional robot navigation systems, exploring key AI techniques such as deep learning, reinforcement learning, computer vision, and collaborative algorithms.

13 Nov 2023

AI Models Transform Water Quality Assessment: A Study on Surface Water Monitoring

Researchers explored the application of artificial intelligence (AI), specifically long short-term memory (LSTM) and artificial neural networks (ANN), in assessing and predicting surface water quality. The study, conducted on the Ashwini River in Himachal Pradesh, India, showcased the effectiveness of LSTM models in accurate water quality prediction, emphasizing the potential of AI in resource management and environmental protection

12 Nov 2023

Rainbow: An Expandable Voice User Interface for Scientific Laboratories

Researchers introduced Rainbow, an open-source Voice User Interface (VUI) designed for scientific laboratories, addressing the limitations of conventional assistants in recognizing specialized scientific vocabulary. Rainbow achieved a remarkable 91.3% speech recognition accuracy, outperforming commercial counterparts and demonstrating its potential in enhancing laboratory processes through intuitive voice control.

12 Nov 2023

Mitigating Simulation Mis-specification in Population Genetics: A Domain-Adaptive Deep Learning Approach

This study addresses the simulation mis-specification problem in population genetics by introducing domain-adaptive deep learning techniques. The researchers reframed the issue as an unsupervised domain adaptation problem, effectively improving the performance of population genetic inference models, such as SIA and ReLERNN, when faced with real data that deviates from simulation assumptions.

10 Nov 2023

UK and US Take Strides in AI Governance: Supercomputing Initiatives and Executive Orders

The UK and the US have taken significant steps toward governmental oversight of artificial intelligence (AI), addressing various aspects of AI technology. The US President signed an executive order outlining directives for federal agencies, emphasizing the need for standards, security, and preventing misuse of AI.

9 Nov 2023

RoboFlamingo: Enabling Vision-Language Models for Effective Robot Imitation

Researchers have introduced a novel framework called RoboFlamingo, designed to harness the power of vision-language models (VLMs) for robot imitation in complex manipulation tasks. This framework leverages pre-trained VLMs to comprehend language instructions and visual data, decoupling decision-making and visual-language understanding to achieve state-of-the-art performance in a wide range of tasks. RoboFlamingo's versatility, adaptability, and impressive performance make it a compelling solution for vision-language-based robot control.

8 Nov 2023

Transforming Satellite Navigation with Artificial Intelligence

Artificial intelligence (AI), particularly machine learning (ML), is revolutionizing global navigation satellite systems (GNSSs) by enhancing efficiency and accuracy. AI-powered navigation systems improve route prediction, reduce human labor, and offer innovative use cases in satellite-based positioning. ML techniques are effectively addressing errors in GNSSs, enhancing signal acquisition, detection and classification, navigation, and GNSS/Inertial Navigation Systems (GNSS/INS) integration.

7 Nov 2023

How Can AI Help in Supply Chain Management?

This article delves into the critical role of artificial intelligence (AI) in supply chain management (SCM), highlighting its importance and the myriad benefits it offers, including cost reduction, improved customer service, automation, and enhanced decision-making. The article also discusses various AI techniques and applications in SCM while acknowledging challenges such as biased algorithms, cybersecurity risks, and high implementation costs that need to be addressed for effective integration of AI in SCM.

6 Nov 2023