IBM’s brain-inspired architecture consists of a network of neurosynaptic cores. Cores are distributed and operate in parallel. Cores operate—without a clock—in an event-driven fashion. Cores integrate memory, computation, and communication. Individual cores can fail and yet, like the brain, the architecture can still function. Cores on the same chip communicate with one another via an on-chip event-driven network. Chips communicate via an inter-chip interface leading to seamless scalability like the cortex, enabling creation of scalable neuromorphic systems.
Machine Intelligence Research Institute
MIRI focuses on AI approaches that can be made transparent (e.g., precisely specified decision algorithms, not genetic algorithms), so that humans can understand why the AIs behave as they do. For safety purposes, a mathematical equation defining general intelligence is more desirable than an impressive but poorly-understood code kludge.
A research group at Osaka University, led by Hiroshi ISHIGURO (Distinguished Professor, Graduate School of Engineering Science), together with researchers of Kyoto University and Advanced Telecommunications Research Institute International (ATR) developed a type of android (human-like robot) for research of autonomous conversational robot called “ERICA.”
Zhejiang University and Hangzhou Dianzi University have successfully co-developed the Darwin Neural Processing Unit (NPU)—a pioneer nueromorphic hardware co-processor based on Spiking Neural Networks (SNN) by CMOS technology.
The Darwin NPU is fabricated by standard 180nm CMOS technology with the area size of 5x5 mm2 and 70MHz clock frequency. It resembles a simplified animal brain and can support a maximum of 2048 neurons, over 4 million synapses and 15 possible synaptic delays. It consumes 0.84m W/MHz with 1.8 V power supply for typical applications.
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