From an article at

Could lead to high-speed, energy-efficient neuromorphic computers for accelerated cognitive computing.

Scientists at IBM Research in Zurich have developed artificial neurons that emulate how neurons spike (fire). The goal is to create energy-efficient, high-speed, ultra-dense integrated neuromorphic (brain-like) technologies for applications in cognitive computing, such as unsupervised learning for detecting and analyzing patterns.

Applications could include internet of things sensors that collect and analyze volumes of weather data for faster forecasts and detecting patterns in financial transactions, for example.

The results of this research appeared today (Aug. 3) as a cover story in the journal Nature Nanotechnology.


Image Credit: IBM Research

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