{{ t.heroSub }}
{{ t.fdlIntro }}
{{ p.desc }}
{{ t.patentsIntro }}
{{ t.foresightBody }}
Three decades at the frontier of artificial intelligence — across space science, enterprise automation and responsible AI. From NASA-backed semantic knowledge graphs to patented conversational-AI and decision-intelligence systems, each contribution reflects a commitment to scalable, real-world impact.
As a founding member of the FDL Technical Committee, Gregory has helped shape the AI research agenda at the intersection of science and space — mentoring interdisciplinary teams applying NLP, Knowledge Graphs and LLMs to some of NASA's hardest challenges.
A systems-engineering approach (TRL4ML) for robust, reliable, well-aligned ML development and deployment — drawn from spacecraft engineering.
Hydrogen knowledge discovery via NLP, Knowledge Graphs and Decision Intelligence.
A pipeline to generate knowledge graphs across NASA domains, powering dataset search engines for researchers.
A credit–blame asymmetry arises in assigning responsibility for generative-AI outputs — with urgent ethical and policy implications.
Large-scale text analysis with little labeled data and no ML expertise — using NLI-pretrained LLMs and threshold-tuning.
Gregory features among the Silicon Valley figures interviewed by Alain Damasio for his “Vallée du silicium” chronicles.
A prolific inventor across conversational AI, contextual computing and enterprise automation — foundational technologies for NLP, Knowledge Graphs and LLM-based systems. A selection of granted and pending patents:
Over a decade ago, Gregory began publishing tech-foresight essays — including “The Proactive Web Era” (2011), which predicted the rise of intelligent, context-aware services. Written in a science-fiction style, they anticipated the societal and technological impact of AI with uncanny precision — and nearly all have since materialized within the forecast timelines.
