R&D

AI Adoption

Our research group’s focus is to help organizations adopt AI systematically and efficiently. We work on three layers: CXO layer: Here we build frameworks and tools

RobAIoT: Overview, Roadmap and Challenges of Robotics Integration with AI & IoT

Future belongs to connecting, collecting and computing data. IoT connects and collects while AI does intelligent computation on the data. Robotics stands as a platform for

Only sparsity based loss function for learning representations

Sparse codes are an effective representation of data that facilitates high representational capacity without compromising on fault tolerance and generalization. The advantages of sparse codes over

IoT Workshop

IoT generates a lot of data and to understand data you need data analytics. Not all data is “good” and a combination of IoT and Analytics is the answer