Towards Growing Autonomous Life-forms in-silico

Abstract

Living neural networks emerge through a process of growth and self-organization that begins with a single cell and results in a brain, an organized and functional computational device. Artificial neural networks, however, rely on human-designed, hand-programmed architectures for their remarkable performance. Can we develop artificial computational devices that can grow and self-organize without human intervention?

Biography of the speaker

Guruprasad raghavan is the CEO/Co-founder of Noisy Nets (a budding startup in Pasadena) and simultaneously a graduate student at Caltech. His graduate work is aimed at building artificial systems inspired by complex biological systems, which is the backbone of his startup. Guru is a recipient of the Honda YES Award, Jonas Salk Fellowship, and Jacobs Translational Medicine Fellowship. Guru received his B.Tech from the Indian Institute of Technology Madras and his master's degree from Carnegie Mellon University. PFA a more detailed abstract!