Elastic Minds, Infinite Universes
Elastic minds give rise to expansive models.
What if intelligence is a rubber band? Not a rigid process, but a shape-shifter, an algorithm bending across experience.
Unravel the Brain, Model the Mind
Artificial intelligence models are recursive systems, iterating infinite ideas to transform insights into intelligent imitation. However, the great divide between humans and machines is not measured in thought or logic. Rather, what separates true intelligence is that human understanding emerges not from the ability to merely generate answers, but from the instinct to build knowledge by asking the right questions.
The emergence of intelligence arises not merely through identifying what is important, but through uncovering the underlying principles of how and why a system changes. I like to think and work on how to algorithmically and architecturally adapt deep learning models with a systems-level understanding of neuromorphic dynamics, to balance fast adaptation with deep abstraction, and enable systems to operate across multiple timescales of acting, reasoning, thinking, and reflection. Grounded in mathematically unified frameworks inspired by neural principles, I like to explore how to model cognition not solely as a computational function, but as a process of form, emergence, and transformation. By integrating abstract mathematics with computational embodiment, I'm continually seeking how to endow artificial networks with the mechanisms underlying human cognition: generalization, causality, memory, executive function, and the continual refinement of understanding.
