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.

Articles from Soham

Generative AI Growth Sparks Urgent Call for Sustainable E-Waste Management

Generative AI Growth Sparks Urgent Call for Sustainable E-Waste Management

Generative AI could produce up to 5 million tons of e-waste by 2030, but proactive circular strategies may reduce this by as much as 86%, researchers say.

4 Nov 2024

Revolutionizing View Synthesis: LVSM Model Creates 3D Images with Minimal Bias

Revolutionizing View Synthesis: LVSM Model Creates 3D Images with Minimal Bias

Researchers introduce LVSM, a transformer-based model for synthesizing high-quality 3D views from minimal input images, achieving state-of-the-art results without relying on traditional 3D structures.

4 Nov 2024

MIT Researchers Find Human-AI Partnerships Fall Short in Decision-Making, But Shine in Creativity

MIT Researchers Find Human-AI Partnerships Fall Short in Decision-Making, But Shine in Creativity

Human-AI collaborations often perform below expectations in decision-making but show promise in creative tasks, with future optimizations needed to unlock full potential.

3 Nov 2024

AI Drives "Unbounded": Generative Infinite Game Transforms Character Life Simulations

AI Drives "Unbounded": Generative Infinite Game Transforms Character Life Simulations

Unbounded introduces a generative infinite game using advanced AI to create dynamic, real-time character life simulations in open-ended worlds.

30 Oct 2024

PANGEA AI Model Revolutionizes Multilingual Understanding With Culturally Inclusive Benchmarks

PANGEA AI Model Revolutionizes Multilingual Understanding With Culturally Inclusive Benchmarks

Researchers from Carnegie Mellon University introduce PANGEA, a multilingual, multimodal AI model that outperforms current open-source models in both linguistic and cultural contexts across 39 languages.

28 Oct 2024

Automated Framework Enhances Neural Network Interpretability With Scalable Explanations

Automated Framework Enhances Neural Network Interpretability With Scalable Explanations

Researchers developed an automated system using large language models to interpret millions of features in sparse autoencoders, making deep neural networks more understandable and scalable.

27 Oct 2024

Generative AI Revolutionizes Education, But Are We Ready for the Risks?

Generative AI Revolutionizes Education, But Are We Ready for the Risks?

Generative AI is transforming human learning by offering personalized support and innovative assessments, but it requires careful ethical oversight and AI literacy to avoid risks.

24 Oct 2024

Researchers Streamline Image Generation with Shortcut Models, Slashing Costs and Improving Efficiency

Researchers Streamline Image Generation with Shortcut Models, Slashing Costs and Improving Efficiency

UC Berkeley researchers introduce shortcut models, simplifying generative modeling to reduce computational costs while maintaining high-quality outputs.

23 Oct 2024

Machine Learning Boosts Earthquake Prediction Accuracy in Los Angeles

Machine Learning Boosts Earthquake Prediction Accuracy in Los Angeles

Researchers have enhanced earthquake prediction accuracy in Los Angeles using advanced machine learning models, achieving 97.97% accuracy by comparing 16 algorithms.

22 Oct 2024

CoTracker3 Revolutionizes Point Tracking by Simplifying Architectures and Leveraging Real Video Data

CoTracker3 Revolutionizes Point Tracking by Simplifying Architectures and Leveraging Real Video Data

Researchers at Meta AI and Oxford University introduced CoTracker3, a simplified point-tracking model that bridges synthetic and real video data using semi-supervised learning. The model outperforms state-of-the-art trackers with far less data.

21 Oct 2024

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