I am a researcher, designer, and practitioner driven by the pursuit of fundamental truths—elegant, universal principles that reveal beauty within complexity. My perspective is shaped by a fusion of disciplines: a deep understanding of AI/ML, a well-honed spatial intuition, and the rigor of mathematical thought. These facets intertwine, constantly sparking a dynamic interplay of ideas.

AI+ROBOTICS RESEARCHER | ARCHITECT OF SPACES AND SYSTEMS | CREATIVE TECHNOLOGIST

PARTICLES LAB ｜ EXP-1

Laplace Operator, Convolution, and the Propagation of Heat

EXP-1 is inspired by the heat equilibrium equation and the Laplace operator. It demonstrates how heat propagation through a 2D surface can be efficiently batch-computed using a grid-based convolution operation, which serves as an effective approximation to continuous gradient solvers.

References
Daniel F. Styer. The geometrical significance of the Laplacian. American Journal of Physics, 2015.
Yann LeCun. Convolutional networks for images, speech, and time series. The handbook of brain theory and neural networks, 1995.
Blewitt et al. Applicability of GPGPU Computing to Real-Time AI Solutions in Games. IEEE Transactions on Computational Intelligence and AI in Games, 2013.