This document discusses using IBM Watson technologies to create personalized learning experiences for early childhood development through combining Watson's natural language processing with expertise in early learning. It also discusses using robots and AI assistants in classrooms to help teach autistic children and mentions some examples of AI assistants going wrong when interacting with users. The second part of the document outlines the architecture for an AI system called Humix that allows connecting various sensor modules to an AI reasoning system to sense the environment and interact with users through multiple channels. It provides programming models and approaches for dynamically registering and monitoring the status of modules in the Humix system.