Primordia: Neurosymbolic AI for Fundamental Finance
Early 2024. Whitepaper coming soon.
AI Safety from First Principles
Investigating Free-Energy based risk metrics with agentic AI.
Autonomous vehicle gatekeeping multi-agent study.
Developed through Supervised Program for AI Research, 2024 cohort. See arXiv preprint.
AI Safety for Nuclear Decommissioning
The goal of this project1 is to create modern AI tools based on SOTA machine learning and neurosymbolic AI with the goal of understanding regulatory mechanisms and automizing review processes. While the ML components will handle the complex processes, the neurosymbolic approaches will create whitebox mechanisms making all AI components auditable, interpretable and transparent.
1This project has been approved and is being funded by the BMBF for approx. 2.1M€ over the course of three years. Project start is 02/2025.
Collective Intelligence for Energy Transition
The aim of this project2 is to create an AI-supported Collective Intelligence platform to support onboarding processes within organizations through machine learning components. Virtual personas replicating human tutors will be supporting learning processes backed by neuroscientific laboratory experiments verifying our novel ML algorithms.
2This project has been approved and is being funded by the BMBF for approx. 2M€ over the course of three years. Project start is 03/2025.
