Chronomorphic Processing: A Temporal Architecture for Dynamic Information Systems

Posted: Oct 28, 2025

• Dr. Eleanor Vance
• Prof. Kenji Tanaka
• Dr. Isabelle Moreau

Abstract

The conventional treatment of time in computational systems has largely followed a reductionist approach, where temporal aspects are either discretized into sequential steps or treated as external constraints. This perspective fundamentally limits our ability to create systems that can genuinely adapt to dynamic environments and evolving information patterns. Current architectures struggle with scenarios where temporal relationships are not merely sequential but exhibit complex interdependencies, phase relationships, and non-linear evolution. The limitations become particularly apparent in applications requiring real-time adaptation to changing data characteristics, where traditional systems often require extensive recalibration or complete redesign. Chronomorphic processing emerges as a response to these challenges, proposing a radical rethinking of how computational elements interact with temporal dynamics. Rather than treating time as an external parameter, we conceptualize it as an intrinsic property of computational units.