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

AI Fights Illegal Cultural Goods Trafficking

The European project SIGNIFICANCE, using AI and deep learning, developed a platform to combat the illegal trafficking of cultural heritage goods. By identifying, tracking, and blocking illegal online activities, the platform increased the detection of illegal artifacts by 10-15%, aiding law enforcement in safeguarding cultural heritage.

11 Jul 2024

Is ChatGPT 3.5 Funnier than Humans?

A study in Plos One evaluated ChatGPT 3.5's ability to generate humor compared to humans across joke tasks and satirical headlines. Findings revealed that ChatGPT 3.5's humor was rated as equally or more funny than human-generated humor in diverse comedic tasks and matched professional standards in satirical news, challenging traditional views on AI's capacity for humor production.

10 Jul 2024

Predicting Energy Poverty in Greece Using Neural Networks

In their study published in "Energies," researchers introduced artificial neural networks (ANNs) to predict energy poverty in Greece, surpassing traditional statistical models. Their approach, employing multilayer perceptrons and socio-geographical factors, achieved high accuracy rates of 61.71% to 82.72%. Model C, with optimized variables and neural network architecture.

9 Jul 2024

Smart Cities: Using IoT to Improve Urban Living

IoT is the cornerstone of smart cities, enabling the integration and communication of various devices and systems. These interconnected devices collect and transmit data, allowing for real-time monitoring and responsive actions. This technology enhances infrastructure management across transportation, energy, healthcare, and public safety sectors.

9 Jul 2024

AI Boosts Weed Detection in Precision Agriculture

A review in Artificial Intelligence in Agriculture compared machine learning (ML) and deep learning (DL) for weed detection. The study found DL offers higher accuracy, while ML excels in real-time processing with smaller models, addressing challenges like visual similarity and early-stage weed control.

8 Jul 2024

Optimal Sensor Placement Enhances Digital Twins in Water Systems

Researchers introduced a novel methodology for optimal sensor placement in water infrastructure to enhance digital twins. Utilizing a graph neural network-based metamodel, the approach effectively estimated pressure at consumption nodes, demonstrating accurate and efficient sensor configurations through tests on a synthetic case study.

5 Jul 2024

Sarcasm and Sentiment: Enhancing Bilingual NLP

Researchers presented a comprehensive dataset for sentiment analysis in public security, focusing on sarcasm and bilingual code-mixed content from social media. The dataset, annotated by experts, aims to improve natural language processing and machine learning for multilingual regions in Southeast Asia.

4 Jul 2024

AI Revolutionizes Seismic Vulnerability Assessment

Researchers demonstrated that machine learning (ML) models significantly enhance seismic vulnerability assessments within rapid visual screening (RVS) frameworks. By training binary classifiers and applying ML feature attribution techniques, the study showed that ML models outperform traditional engineering practices, offering a more accurate method for ranking structures by seismic vulnerability.

3 Jul 2024

Advancing Large Language Models with Multi-Token Prediction

Researchers introduced a novel approach called multi-token prediction for training large language models, aiming to predict multiple future tokens simultaneously. This method significantly improves model performance in generative tasks like coding and natural language processing by enhancing inference speed and coherence, particularly for larger models.

2 Jul 2024

Can AI Help Save Endangered Species?

AI is revolutionizing conservation efforts amid the global crisis of endangered species. With its advanced data processing and predictive capabilities, AI enhances wildlife monitoring and protection significantly. Technologies like the Internet of Animals (IoA) integrate live data streams for real-time insights, crucial for conservation.

2 Jul 2024