Autonomous Navigation Systems in Low-visibility Conditions with Neuromorphic Vision by Yusra Alkendi

Neuromorphic Computing Explained | Jeffrey Shainline and Lex Fridman

AI Hardware Engineering—Building the Machines of Tomorrow AI hardware engineering focuses on designing processors, chips, and computing devices optimized for AI workloads. In the USA, engineers develop GPUs, TPUs, neuromorphic chips, and specialized AI hardware that powers autonomous systems, data centers, and edge devices. Top universities such as MIT, Stanford, UC Berkeley, Carnegie Mellon, and Georgia Tech offer programs in computer architecture, AI hardware design, VLSI, and embedded systems