The lab focuses on fundamental and applied research in novel areas of AI including Big Data Analytics, Natural Language Processing, Re-inforcement learning, Computer vision and Conversational A while building systems for real-world scenarios, testing prototypes and deploying production ready models.
At the AI lab we work on examining large amounts of data to uncover hidden patterns, trends and new insights. It helps organisations to use their data to identify new opportunities which in turn can lead to smarter business moves and efficient operations. - Learn More
Natural Language Processing is all about methods and applications that enables machines to process and understand human language. Recent developments in deep learning has advanced the field enabling researchers to handle complex real world NLP problems. Its now possible to quickly build state-of-the-art end-to-end models and apply them to real world data - Learn More
Reinforcement learning is a part of machine learning in which an agent interacts with the environment over time, and learns an optimal policy, by trial and error, for sequential decision-making problems. It has been making steady progress, with decades of research and development with the latest breakthroughs such as Atari games and AlphaGo. - Learn More
Computer vision is a field of artificial intelligence where computers can “see” the world, analyze visual data and then make decisions from it or gain understanding about the environment and situation. Latest technology in Computer vision is now used in convenience stores, driverless car testing, daily medical diagnostics etc. Learn More
Conversational AI is the development of software programs that allow a computer to understand what a human intends to say or ask for, decipher its meaning, and communicate relevant responses. Given the complexities of human interactions, AI algorithms depend on language models that are massive in scope and complexity and backed by substantial computing power. - Learn More
