Researchers from Northwestern University Come Up With More Efficient AI Training With a Systolic Neural CPU

Since the inception of modern machine learning, the goal has been to make workloads that use the technology as efficient as feasible. Considering the nature of the applications, the speed and efficiency of deep learning models (DNNs) have been at the top of the agenda. These applications can do many tasks, from being a cornerstone of the coming autonomous vehicle era to actual analytics. It also proves helpful for businesses to become more user-friendly, profitable, and capable of thwarting cyberattacks. …

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