Global Big Data Conference

Edge AI devices, systems that combine artificial intelligence (AI) and edge computing techniques, are becoming an essential part of the rapidly growing Internet of Things (IoT) ecosystem. These devices include smart speakers, smart phones, robots, self-driven cars, drones and data-processing surveillance cameras. While these technologies have become increasingly advanced over the past few years, most of them exhibit limited energy efficiencies, inference accuracies, and battery lifetimes. Non-volatile computing-in-memory (nvCIM) architectures, an emerging class of approaches that minimize the movement of data between processors and memory components, could help to significantly reduce the latency and energy consumption associated with complex AI computations. Researchers at the Taiwan Semiconductor Manufacturing Company (TSMC) recently developed a new four-megabit (4Mb) nvCIM approach that could help to improve the overall performance of edge AI devices.