Be the first to like this
Robert Daniel will present the first place winner of the AI Concept Exploration category of the Federal Virtual Worlds Challenge. Intelligence training concepts incorporate AI solutions into gathering HUMINT, GEOINT, SIGINT and OSINT. HUMINT uses text to speech / speech to text and Google translate to simulate an intelligence agent looking for information on a topic by interacting with several persons of interest and questioning multilingual intelligent avatar bots. GEOINT uses swarm concepts to control the in-world environment, such as wind, rain and sand storms, including wildlife tracking and generation, such as flocks of birds, packs of dogs and schools of fish. Also includes swarms of UAVs and ground robots as geospatially aware entities. SIGINT includes voice analysis of in-world voice chat and conferences for fraud detection. It is a 3D visualization front end for AI-based plug-ins for time and frequency analyses of in-world voice chat. OSINT uses web bots to extract real world data for in-world user experience enhancement pulling from sources such as wikipedia, YouTube, Twitter and other social networking sites. Other cool functionality presented includes in-world/out-world calling using landlines and cell phones using; conference calling between worlds; and ground robot random walk to find and diffuse IDEs.