Applied AI research & emerging technogies for:

business, culture, public policy.

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Active research projects are self-initiated, partnered with other entities, or funded by grants. These topic areas demonstrate a commitment to advancing knowledge and innovation.

LOCAL MODELS
Open-source, local Large Language Models (LLMs) offer customizable, cost-effective AI solutions, allowing businesses to fine-tune and deploy AI models to fit specific needs, either on-premises or in the cloud. 
LeARNING Systems
Retrieval Augmented Generation (RAG) knowledge systems enhance AI applications by providing precise, context-aware responses drawn from extensive data sources in real-time.
Prompt Engineering
Prompt engineering optimizes AI interactions, enabling more precise, effective responses from models. This technique tailors prompts to elicit specific outcomes, enhancing user experience and AI utility across various applications. 
GENERATIVE UI
Generative UI harnesses AI to craft adaptive, personalized user experiences, enhancing engagement and satisfaction. By dynamically adjusting to individual preferences and needs, it streamlines user interactions and boosts usability, offering businesses a powerful tool to improve digital interfaces. 
KNOWLEDGE GRAPHS
Knowledge graphs enable structured, interconnected data utilization, enhancing AI insights and decision-making. By mapping complex relationships within data, they provide a comprehensive context for AI analyses, leading to more accurate and informed outcomes. 
STRUCTURED DATA
Structured Data Management organizes and stores data in a highly organized format, facilitating efficient access, analysis, and reporting. This approach enhances data integrity and reliability, enabling businesses to make data-driven decisions with confidence.

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