Document-based Question Answering System
Finding precise answers to questions within given articles is a challenge that existing systems struggle to address. There is a need for an AI-driven question answering technology that can automatically extract short spans of text as precise answers from articles. We have developed a cutting-edge AI algorithm that powers a document-based question answering application. Our technology utilizes deep learning techniques to automatically extract answers from articles.
Quantum Machine Learning for Credit Scoring
Credit rating for small and medium-sized enterprises (SMEs) presents a challenge compared to larger, well-analyzed companies. There is a need for a more accurate and efficient credit rating system that can leverage the potential of big data and overcome the limitations of traditional approaches. We introduce QML models, utilize quantum computers for credit data analysis in Singaporean companies.
Consensus in distributed ledger technology is often limited by the blockchain trilemma, which encompasses data size, consensus speed, and network security. We present a leaderless quantum consensus algorithm that utilizes quantum simulators and real quantum computers for a simplified consensus scenario. We have developed a technology that harnesses the power of quantum computers and quantum communication channels for achieving consensus.