通过混合型Tianjic芯片架构实现人工通用智能
Jing Pei1,2, Lei Deng1, Sen Song3,4
1Department of Precision Instruments, Center for Brain-Inspired Computing Research (CBICR), Optical Memory National Engineering Research Center, Tsinghua University, Beijing, China.
Nature
|August 2, 2019
概括
天基芯片为人工智能 (AGI) 开发提供了一个统一的硬件平台,整合了计算机科学和神经科学方法. 这种混合系统通过在单一芯片上实现多种算法和模型来加速AGI研究.
科学领域:
- 人工智能
- 神经科学
- 计算机工程
背景情况:
- 人工通用智能 (AGI) 的发展受到计算机科学和神经科学方法的不兼容平台的阻碍.
- 需要一个统一的平台来支持不同的AGI模型和算法.
研究的目的:
- 介绍一下Tianjic芯片, 这是一个新的混合硬件平台.
- 展示芯片在整合和处理各种人工智能模型的能力.
主要方法:
- 开发了具有多核架构,可重新配置的构建块和混合编码方案的Tianjic芯片.
- 实现基于计算机科学的机器学习和神经科学启发的算法.
- 在无人自行车系统中测试了芯片,
主要成果:
- 泰安基芯片成功地集成和处理了多种算法和模型.
- 在一个芯片上进行实时物体检测,跟踪,语音控制,避难障碍和平衡控制.
- 展示了芯片在支持混合人工智能方法中的多功能性.
结论:
- 泰安基芯片提供了一个通用硬件平台, 结合了计算机科学和神经科学的 AGI 方法.
- 预计这种混合平台将加速人工智能的发展.
- 展示的功能突显了更先进和集成的人工智能系统的潜力.
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