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Neuromorphic Computing Drives the Landscape of Emerging Memories for Artificial Intelligence SoCs

The pace of deep machine learning and artificial intelligence (AI) is changing the world of computing at all levels of hardware architecture, software, chip manufacturing, and system packaging. Two major developments have opened the doors to implementing new techniques in machine learning. First, vast amounts of data, i.e., “Big Data,” are available for systems to process. Second, advanced GPU architectures now support distributed computing parallelization. With these two developments, designers can take advantage of new techniques that rely on intensive computing and massive amounts of distributed memory to offer new, powerful compute capabilities.

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