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cognitive-computing

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👀🛡️ Code for the paper “Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2025)

  • Updated Sep 22, 2025
  • Python
KLEP

KLEP (Key-Lock-Executable-Process) is a groundbreaking AI framework that utilizes symbolic AI for dynamic decision-making. It integrates keys, locks, executables, and processes to foster ethical, modular, and transparent AI applications, offering a novel approach for developers and researchers in AI and cognitive science.

  • Updated Feb 24, 2025
  • C#

A professional exploration of reflective analytics, dashboards that evolve through user interaction. This project reimagines BI systems as adaptive, cognitive mirrors that learn analyst behavior, anticipate reasoning patterns, and transform data visualization into a collaborative, intelligent process.

  • Updated Nov 5, 2025

QBI-Observer Lite+ is an open-source cognitive self-observation module derived from QBI-Core. It detects mental loops, internal questions, and metacognitive patterns. Not AGI. Not autonomous. It’s a transparent, ethical entry point into a new class of AI: Artificial Integrated Cognition (AIC).

  • Updated Jul 23, 2025
  • Python

🔄 Explore key research on Quantum Computing Fundamentals, focusing on transfer learning and applications across various domains for quantum-enhanced AI systems.

  • Updated Nov 13, 2025

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