Impact & Future Vision

This research, published in a leading venue IEEE AI SI 2025,
provides a foundational technology for building truly trustworthy and deployable AI systems

Presented Robusto In IEEE AI-SI 2025

Paper Titled: A Two Phase Evolutionary Framework To Boost Adversarial Robustness In Neural Networks

Featured By Universiti Teknologi Malaysia (UTM)

Cortexa Labs' research was recently featured by Universiti Technology Malaysia (UTM), recognising our contributions to AI research and opening pathways for future collaborations

Impact & Future Vision

This research, published in a leading venue IEEE AI SI 2025, provides a foundational technology for building truly trustworthy and deployable AI systems

This research, published in a leading venue IEEE AI SI 2025, provides a foundational technology for building truly trustworthy and deployable AI systems

This research, published in a leading venue IEEE AI SI 2025,
provides a foundational technology for building truly trustworthy and deployable AI systems

This research, published in a leading venue IEEE AI SI 2025,
provides a foundational technology for building truly trustworthy and deployable AI systems