Machine learning often feels difficult at the beginning, especially when everything stays theoretical. That changes once you start working on real projects and see how models are actually used.

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development. For several decades now, the most innovative ...

Deep learning has yielded some fantastic results for basic natural language processing (NLP) functions such as named entity recognition (NER), document classification and sentiment analysis — not to ...

Our faculty are engaged in research projects ranging from language documentation and morphological analysis to semantic analysis to Biomedical Informatics. We are also currently working on an ...

As firms demand more data to find alpha, better manage risk, and more efficiently handle regulatory needs, they are having to turn to artificially-intelligent tools, namely, algorithms that ...

In today's rapidly evolving business landscape, the convergence of AI (Artificial Intelligence), machine learning, and NLP (Natural Language Processing) has emerged as a transformative force driving ...

Chatbots have a checkered past of often not delivering the performance their providers have promised. This is especially true in the IT service management (ITSM) and multilingual NLP spaces, where ...

Want to start a career in AI? Explore the top AI jobs in India for 2026, including ML Engineer salaries, required skills like ...