Aman Bhargava is a researcher who focuses on neural cellular automata and their applications in emulating biological computation and active inference. He explores the potential of NCA for building artificial intelligence and discusses the challenges and advantages of using this computational model. Bhargava also shares his work on training NCA to predict pixel values in videos and highlights the promising results he has achieved. Additionally, he outlines his future plans for further experimentation and development in this area. His background includes a degree in Engineering Science from the University of Toronto and a passion for artificial intelligence.
Scaling on k8s:
Morphogenesis concurrency on 25 racks