Projects

Foundations and Practice of Distributed Ledger Interoperability

An efficient toolkit for state-of-the-art models on multi lingual open domain question answering.

AutoML for incremental machine learning algorithms for big time-series data.

An enterprise-scale initiative to measure, track, and reduce carbon emissions

Reducing hallucination in conversation systems and developing models that can perform a variety of specialized tasks

Using Logical Neural Networks to demonstrate the benefit of incorporating knowledge and reasoning into neural network learning