Neuromorphic Computing Advances Deep-Learning Applications

• 作者: Chris Palmer
• 来源期刊: 工程（英文）
• 年，卷（期）: 2020,（8）
• 所属期刊栏目: News & Highlights
• 页码范围: 854-856
• 页数: 3页
• 语种: 英文

摘要

In the quest for ever faster and more efficient computing,researchers and manufacturers are busy exploring novel processing architectures.Among these, neuromorphic computing-the emulation of brain function inside computer chips-is showing particular promise for applications involving deep learning, an increasingly common form of artificial intelligence (AI) that uses neural networks inspired by brains to uncover patterns in large datasets.