Soham Nandi

Computer Science Engineering, specializing in Artificial Intelligence and Machine learning

Soham Nandi is a technical writer based in Memari, India. His academic background is in Computer Science Engineering, specializing in Artificial Intelligence and Machine learning. He has extensive experience in Data Analytics, Machine Learning, and Python. He has worked on group projects that required the implementation of Computer Vision, Image Classification, and App Development.

Soham's passion for AI and Machine Learning propels him toward his goal of becoming a distinguished Machine Learning Engineer and leveraging his knowledge to help the less fortunate. His projects include the Rice grain classifier and Handwriting-based Personality Detector, and he is certified in Data Analytics and Data Science.

Drawing inspiration from writers ranging from Satyajit Ray to Mark Manson, he has his own science fiction stories and blog. He also creates content on personal development and mental health through his Instagram handle. Beyond the screen and code, Soham's world is filled with music. With the ability to play the guitar, ukulele, and drums, he rocks to the tunes of the metal and rock genres, using music as a creative outlet, planning to start a band of his own.

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Articles from Soham

Machine-Annotated Corpus of Medication Error Incident Reports

In a groundbreaking article published in Nature, researchers introduced a massive corpus comprising 58,658 machine-annotated incident reports of medication errors, tackling the challenge of unstructured free text. Leveraging Japan's open-access dataset, this initiative aimed to enhance patient safety by facilitating automated analysis through natural language processing (NLP).

7 Mar 2024

MFEM-AI Revolutionizes Physical Education Teaching in Higher Education

Dive into the realm of pedagogical evaluation with the groundbreaking MFEM-AI framework, as showcased in Nature. Leveraging fuzzy logic and the ECSO algorithm, this innovative model offers a comprehensive approach to assessing physical education teaching methods in colleges and universities, enhancing skill performance, learning progress, physical fitness, participation rate, student satisfaction, and overall teaching efficiency.

6 Mar 2024

Charting ChatGPT's Impact: Navigating Programming Education's AI Frontier

Explored in a Nature article, this research investigates ChatGPT's integration into programming education, emphasizing factors shaping learners' problem-solving effectiveness. It underscores the importance of AI literacy, programming knowledge, and cognitive understanding, offering insights for educators and learners amidst the AI-driven educational transformation.

5 Mar 2024

The Role of AR in Training and Simulation

Augmented Reality (AR) has revolutionized education and professional training by seamlessly blending virtual elements into the real world, providing enriched and interactive experiences. From healthcare simulations to military training, AR enhances learning environments, improves skill acquisition and retention, and prepares individuals for real-world scenarios.

4 Mar 2024

Farsight: Empowering Prototypers in Responsible AI Development

Farsight, an interactive tool introduced by researchers, aids in identifying potential harms during prompt-based prototyping of AI applications. Co-designed with AI prototypers, Farsight enhances awareness and usability, guiding users in envisioning and prioritizing harms, thereby fostering responsible AI development. Through empirical studies, Farsight demonstrated efficacy, highlighting its impact and usability in enhancing responsible AI practices.

4 Mar 2024

NLE-YOLO: Advancing Low-Light Object Detection

Researchers introduce NLE-YOLO, a novel low-light target detection network based on YOLOv5, featuring innovative preprocessing techniques and feature extraction modules. Through experiments on the Exdark dataset, NLE-YOLO demonstrates superior detection accuracy and performance, offering a promising solution for robust object identification in challenging low-light conditions.

1 Mar 2024

Hierarchical Federated Learning for Smart City AIoT Systems

Researchers introduce a hierarchical federated learning framework tailored for large-scale AIoT systems in smart cities. By integrating cloud, edge, and fog computing layers and leveraging the MQTT protocol, the framework addresses data privacy and communication latency challenges, demonstrating enhanced scalability and efficiency. Experimental validation in Docker environments confirms the framework's feasibility and performance improvements, laying the foundation for future optimizations.

29 Feb 2024

ChatExtract: Revolutionizing Data Extraction with Conversational LLMs

Researchers introduce ChatExtract, leveraging conversational large language models (LLMs) for automated data extraction from research papers, particularly in materials science. With over 90% precision and recall, ChatExtract minimizes upfront effort by employing well-engineered prompts and follow-up questions, showcasing its simplicity, accuracy, and potential for widespread adoption across diverse information extraction tasks.

28 Feb 2024

Computational Sensors for Advancing Soft Robotics

Researchers introduce programmable crack array within micro-crumples (PCAM) sensors, leveraging computational design for soft robots. These sensors exhibit robustness and tunability, enabling accurate trajectory prediction and terrain awareness in real-world scenarios, thus addressing key challenges in soft robotics automation. Integrated into an origami robot with machine intelligence, PCAM sensors signify a milestone in bridging predictive design complexities and practical implementation for enhanced soft robot performance in dynamic environments.

27 Feb 2024

What are Adversarial Attacks?

Adversarial attacks in artificial intelligence and deep learning pose a significant challenge, exploiting vulnerabilities in machine learning models to deceive predictions and compromise system integrity. This article delves into the anatomy of adversarial attacks, their real-world impact across industries, and the ongoing battle between attackers and defenders. It emphasizes the importance of ethical considerations and responsible AI practices in mitigating these threats and fostering a trustworthy AI ecosystem.

26 Feb 2024