[2603.03212] NeuroSkill(tm): Proactive Real-Time Agentic System Capable of Modeling Human State of Mind

[2603.03212] NeuroSkill(tm): Proactive Real-Time Agentic System Capable of Modeling Human State of Mind

arXiv - AI 3 min read

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Abstract page for arXiv paper 2603.03212: NeuroSkill(tm): Proactive Real-Time Agentic System Capable of Modeling Human State of Mind

Computer Science > Artificial Intelligence arXiv:2603.03212 (cs) [Submitted on 3 Mar 2026] Title:NeuroSkill(tm): Proactive Real-Time Agentic System Capable of Modeling Human State of Mind Authors:Nataliya Kosmyna, Eugene Hauptmann View a PDF of the paper titled NeuroSkill(tm): Proactive Real-Time Agentic System Capable of Modeling Human State of Mind, by Nataliya Kosmyna and Eugene Hauptmann View PDF Abstract:Real-time proactive agentic system, capable of modeling Human State of Mind, using foundation EXG model and text embeddings model, running fully offline on the edge. Unlike all previously known systems, the NeuroSkill(tm) system leverages this http URL description of Human's State of Mind via API and CLI provided by the system, directly from the Brain-Computer Interface (BCI) devices, which records Human biophysical and brain signals. Our custom harness - NeuroLoop(tm) - utilizes all of the above to run agentic flow that manages to engage with the Human on multiple cognitive and affective levels of their State of Mind (e.g., empathy), by providing actionable tool calls and protocol execution with explicit or implicit requests from the Human. GPLv3 open-source software with ethically aligned AI100 licensing for the skill markdown. Comments: Subjects: Artificial Intelligence (cs.AI) Cite as: arXiv:2603.03212 [cs.AI]   (or arXiv:2603.03212v1 [cs.AI] for this version)   https://doi.org/10.48550/arXiv.2603.03212 Focus to learn more arXiv-issued DOI via DataCite (pending re...

Originally published on March 04, 2026. Curated by AI News.

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