Projects

Showcasing systems-level cognitive AI research.

A detailed schematic of a cognitive AI system integrating multiple data streams.
A detailed schematic of a cognitive AI system integrating multiple data streams.
Direction 3

This project develops a multimodal fusion architecture that cross-correlates daytime wristband biosignals with EEG training outcomes to create personalized intervention protocols, tackling signal alignment, cross-modal representation learning, and closed-loop adaptive feedback.

Visualization of biosignal data streams from wristbands and EEG overlays demonstrating fusion and correlation.
Visualization of biosignal data streams from wristbands and EEG overlays demonstrating fusion and correlation.
Research Narrative

Building on prior work in GNN ensembles and bioinformatics, this project validates a personalized neurobehavioral feedback system, embodying true cognitive-systems maturity recognized by elite research standards.

Our Vision

Advancing cognitive AI through rigorous systems-level research and personalized neurobehavioral feedback.

Close-up of a wristband biosensor capturing daytime physiological signals in a research lab setting.
Close-up of a wristband biosensor capturing daytime physiological signals in a research lab setting.
Visualization of multimodal data fusion showing EEG patterns aligned with biosignal inputs on a computer screen.
Visualization of multimodal data fusion showing EEG patterns aligned with biosignal inputs on a computer screen.

Get in Touch

Reach out for collaboration, questions, or detailed discussions on cognitive AI research.

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contact@mintisarc.ai