Debunking The Post-Quantum Cryptography Myth
Prof. Kannan Srinathan explains why the current frenzy about the post-quantum cryptography apocalypse is unwarranted. There has been a great deal of buzz about post-quantum cryptography. This is because quantum computers are expected to be ready in the immediate future
Financial Applications with Federated Learning
Prof Sujit Gujar discusses the emergence of Federated Learning (FL) while enumerating the ways in which the Machine Learning Lab (MLL) at IIITH has been working on FL for the financial sector. AI and machine learning (ML) have significantly impacted
Extraction And Analytics From Financial Documents
Prof. Kamal Karlapalem explores use cases of AI in the fintech world, particularly those applications that are being researched upon at the International Institute of Information Technology, Hyderabad. This article is a brief summary based on the talk he delivered
LLMs and Retrieval Augmented Generation
Prof. Manish Shrivastava explains how Retrieval Augmented Generation (RAG) optimises output of large language models and improves the quality of their responses. Large Language Models (LLMs) have emerged as powerful tools for processing and generating human-like text. These models, such
Language Tech Through The Ages
Prof. Dipti Misra Sharma traces the evolution of language and language technologies before summarising the research developments in the space that are taking place at IIITH. Perhaps the single-most distinguishing feature of humankind is its ability to speak. While other
Indic LLMs and LLMs in Education
Prof. Vasudeva Varma explores two use cases of Generative AI and LLMs - in the Wikipedia development in Indian languages and in education and learning. This article is based on key parts of his talk from the TechForward Research Seminar