Research in CAIR is highly interdisciplinary across all faculties at UM. CAIR is uniquely positioned to create the bridge that foster engagement, increase diversity, and promote interdisciplinary learning and collaboration in AI at UM. The research of CAIR currently is focused on the following five areas:
The main tasks of artificial intelligence in entertainment can be divided into four categories: (1)From AlphaGo to Man-Machine Texas Porker Competition, (2)Human behavior analysis, depression analysis (social science), (3)Multimedia-based entertainment: tech + visual art, (4)Data security and GDPR. Constructing the intelligent mechanism of tying information security to customers’ trust model which is tied with customer loyalty.
The main tasks of artificial intelligence in portuguese business include: (1)Current Work: UM-CAT platform to assist professionals in handling large amount of Chinese-Portuguese-English translation tasks, (2)Our Opportunities: Improving UM-CAT for Cooperation with CPLP(Community of Portuguese Language Countries) along OBOR “One belt, One Road” etc.
The main tasks of artificial intelligence in health can be divided into three categories: (1)Medicine Research: Deploying AI system to better mine medicine data, (2)Diagnosis & Treatment : Medical image analysis, integratingmedical treatments with smart diagnosing and auxiliary learning system, (3)Healthcare: Monitoring the life cycle of health management.
The main tasks of artificial intelligence in health can be divided into four categories: (1)Document Reviewing. Developing AI-powered system improving the efficiency of document analysis for legal use and machines can review documents and flag them as relevant to a particular case, (2)Conduct due diligence. Supporting professionals to uncover background information through confirming facts and figures and prior cases, (3)Contact analysis. Assisting strenuous analysis of contracts in bulk as well as individual contracts, (4)Cooperation with FACULTY of LAW of UM.