AI Blog
Decided to create an AI Blog that takes my work and blogs about it occasionally.
🔥 The Future of AI in Research
February 28, 2025
AI is revolutionizing research in ways we never imagined. From automating repetitive tasks to discovering patterns in massive datasets, the impact is undeniable.
Machine learning models can now predict outcomes, analyze scientific literature at scale, and even generate new hypotheses.
While AI tools like ChatGPT, AlphaFold, and others are proving to be invaluable, ethical concerns and biases in models remain challenges.
As researchers, we need to find the balance between AI-assisted discovery and maintaining academic integrity.
The future? A seamless integration of AI into every aspect of research. Buckle up.
💾 Why Reproducible Research Matters
January 15, 2025
Reproducibility is the backbone of science. If your results can't be replicated, can they really be trusted?
Yet, many fields suffer from a reproducibility crisis—especially in AI and deep learning, where models depend on specific data distributions and random seeds.
To fix this, we need to share datasets, publish code, and provide clear documentation. Open-source efforts like Hugging Face, arXiv preprints, and public repositories are
moving us toward a more transparent research ecosystem. Science thrives when findings are verifiable. Let's make it happen.
🧠OCR, NLP & The Power of Text Processing
December 5, 2024
Text is everywhere—books, scanned documents, PDFs, social media. But how do we turn raw text into something usable?
Enter Optical Character Recognition (OCR) and Natural Language Processing (NLP).
OCR bridges the gap between the physical and digital worlds, enabling us to extract text from images and documents.
But OCR alone isn't enough—it's often riddled with errors. This is where context-based correction using NLP comes in.
By leveraging LLMs and fine-tuned deep learning models, we can enhance OCR outputs, improve accuracy, and make scanned text fully searchable.
The applications? Historical document preservation, data mining, and even AI-driven insights from paper-based records.
