文件名称:
towards-artificial-general-intelligence-with-hybrid-tianjic-chip-architecture
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上传时间: 2020-01-28
详细说明:There are two general approaches to developing artificial
general intelligence (AGI)1: computer-science-oriented and
neuroscience-oriented. Because of the fundamental differences
in their formulations and coding schemes, these two approaches
rely on distinct and incompatible platforms2–8, retarding the
development of AGI. A general platform that could support
the prevailing computer-science-based artificial neural networks
as well as neuroscience-inspired models and algorithms is highly
desirable. Here we present the Tianjic chip, which integrates the
two approaches to provide a hybrid, synergistic platform. The
Tianjic chip adopts a many-core architecture, reconfigurable
building blocks and a streamlined dataflow with hybrid coding
schemes, and can not only accommodate computer-science-based
machine-learning algorithms, but also easily implement braininspired
circuits and several coding schemes. Using just one
chip, we demonstrate the simultaneous processing of versatile
algorithms and models in an unmanned bicycle system, realizing
real-time object detection, tracking, voice control, obstacle
avoidance and balance control. Our study is expected to stimulate
AGI development by paving the way to more generalized hardware
platforms.
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