Yutaka Nakamura

TL;DR: Inspired by the brain’s structure, an efficient, scalable, and flexible non–von Neumann architecture is developed that leverages contemporary silicon technology and is well suited to many applications that use complex neural networks in real time, for example, multiobject detection and classification.

TL;DR: This work developed TrueNorth, a 65 mW real-time neurosynaptic processor that implements a non-von Neumann, low-power, highly-parallel, scalable, and defect-tolerant architecture, and successfully demonstrated the use of TrueNorth-based systems in multiple applications, including visual object recognition.

TL;DR: An eight-transistor (8T) cell can be designed without significant area penalty over 6T-SRAM while providing substantially improved variability tolerance and low-voltage operation with no need for secondary or dynamic power supplies.

TL;DR: In this article, a 32-kb subarray is implemented with a 65 nm node 8T-SRAM cell for variability tolerance in high-speed caches, achieving 5.3 GHz operation at 1.2 V.

TL;DR: True North is a 4,096 core, 1 million neuron, and 256 million synapse brain-inspired neurosynaptic processor, that consumes 65mW of power running at real-time and delivers performance of 46 Giga-Synaptic OPS/Watt.