[1] Prior to the founding of DeepScale, Forrest Iandola and Kurt Keutzer worked together at University of California, Berkeley, on making deep neural networks (DNNs) more efficient.

[14] In recent years, neural architecture search (NAS) has begun to outperform humans at designing DNNs that produce high-accuracy results while running fast.

[15] In 2019, DeepScale published a paper called SqueezeNAS, which used supernetwork-based NAS to design a family of fast and accurate DNNs for semantic segmentation of images.

[5] The software is able to run on a variety of processors, ranging from NVIDIA GPUs to smaller ARM-based processing chips that are designed specifically for the automotive market.

"[13] Further, CNET reported that "DeepScale's approach to autonomy fits the bigger picture that [Tesla CEO Elon] Musk has promoted for a few years now.