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

LLMPhy Revolutionizes Physical Reasoning by Combining AI and Physics Simulation

Researchers at MERL introduce LLMPhy, a groundbreaking framework combining large language models and physics engines to achieve state-of-the-art zero-shot physical reasoning on complex tasks using the TraySim dataset.

18 Nov 2024

AI Boosts Global Flood Forecasting, Enhancing Accuracy and Disaster Response

AI-powered flood forecasting improves global precision, offering reliable seven-day lead times even in data-scarce regions, bridging gaps in disaster resilience worldwide.

17 Nov 2024

Machine Learning Powering Breakthroughs in Climate Forecasting and Modeling

Machine learning is transforming climate science by enhancing data reconstruction, improving model precision, and enabling more accurate climate forecasts at lower costs.

14 Nov 2024

Adaptive AI Agents Tackle Complex Tasks with Microsoft’s Magentic-One System

Microsoft's Magentic-One introduces a multi-agent AI system, coordinated by an Orchestrator, that autonomously handles complex tasks. Rigorous evaluation on diverse benchmarks showcases its adaptable and secure task-solving approach.

13 Nov 2024

Can Language Models Stop Making Stuff Up? New OpenAI Benchmark Puts AI to the Test

OpenAI Researchers introduce SimpleQA, a new benchmark for evaluating language models' accuracy on concise, fact-based questions, aiming to curb AI "hallucinations" and improve model calibration.

12 Nov 2024

MIT Researchers Unveil Adaptive-Length Image Tokenizer for Dynamic Image Representation

MIT researchers introduced an adaptive-length image tokenizer (ALIT) that dynamically adjusts token counts based on image complexity, improving image compression, object discovery, and task efficiency. This approach leverages recurrent distillation for more efficient visual representations.

11 Nov 2024

ChatGPT Speeds Up Patient Interview Analysis with Human Oversight

Researchers compared ChatGPT 3.5 and 4.0's efficiency in analyzing patient interview transcripts with human analysis, finding that AI reduced analysis time significantly with moderate to high theme concordance, though human researchers remained essential for final refinement.

10 Nov 2024

NoPoSplat Revolutionizes 3D Scene Reconstruction With Pose-Free Gaussian Splatting

NoPoSplat introduces a novel approach to 3D scene reconstruction from sparse, unposed multi-view images by predicting 3D Gaussians directly in a canonical space, bypassing the need for camera pose data. This results in real-time scene reconstruction with enhanced accuracy and robustness, particularly in scenarios with limited image overlap.

10 Nov 2024

Meta’s PARTNR Benchmark Redefines Human-Robot Collaboration

Researchers at Meta developed PARTNR, a large-scale benchmark to evaluate human-robot collaboration on household tasks, highlighting challenges in coordination and task recovery for current AI models.

5 Nov 2024

Benchmarking OpenAI’s o1 Models Advances Automated Cybersecurity with DARPA Challenge

Researchers at the Alan Turing Institute benchmarked OpenAI’s o1-preview and o1-mini models against GPT-4o, finding significant improvements in automated vulnerability detection accuracy and cost-efficiency.

5 Nov 2024