Digital Health
Utilizing predictive modelling for diagnosis, prognosis and treatment, drug discovery and development, and issues related to clinical study challenges (e.g. placebo effect, dropouts, remote digital study design, and secured, privacy-preserving, distributed computing).
Social Analytics
Analyze data of social interactions, discussions, topics, flow of ideas, impact and influence. Develop and apply natural language processing (NLP) and social network analysis (SNA) models, algorithms tools and technology to detect and quantify social phenomena.
AI and Cognitive Computing
Designing algorithms to capture and model the interactions between emotion, cognition, and behavior. Applications range from conversational AI to gesture and emotion recognition to personalized AI-based professional services (e.g. private teacher) and AI-led interaction.
As the institute grows, it will continue to focus attention on carefully selected areas of interest (verticals), including:
Government and security (including cyber), energy and utility, water, psychology and behavioral understanding, and core AI technology (hardware & software).