One of the most compelling applications of our technology is image understanding with broad applications in robotics, autonomous vehicles, and visual scene analysis. Our research advances beyond conventional object detection to address fundamental questions about mechanism recognition, physical reasoning, and visual comprehension.

Is this just a static image of a person or a dynamic model explaining a situation with ability to prognostic on the future?

Framework Overview

The Serk3x3 framework integrates multiple analytical approaches for comprehensive visual scene understanding.

Research & Applications

Beyond Object Detection
Exploring the limitations of current computer vision approaches and introducing frameworks for understanding mechanisms, physical relationships, and causal structures in visual data.

AI’s Dangerous Blind Spot
Identifying critical gaps in contemporary AI vision systems and the risks of deploying systems that lack fundamental physical understanding. (great place to start)

MIEN-Aware Visual Scene Analysis
Mechanism Interacting with ENtity (MIEN) framework for structured visual interpretation that captures both visible and implicit scene elements. (a more technical review)

Teaching AI to See Invisible Mechanisms
Methodologies for enabling AI systems to infer hidden causal mechanisms and physical processes from visual observations.

Practical Demonstration

Earth or Mars: Image Classification Challenge
Testing the Serk3x3 approach on planetary surface discrimination—a practical demonstration of physics-informed visual analysis.

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Source code and papers on this topic are available.