Image: Cornell University
Researchers at Cornell University have developed an analog microwave based neural network chip with low power usage (200 milliwatts) and 88% accuracy at classifying wireless signal types.
Source:
Image: Cornell University
Researchers at Cornell University have developed an analog microwave based neural network chip with low power usage (200 milliwatts) and 88% accuracy at classifying wireless signal types.
