Cornell University researchers have developed a low-power microchip called ‘microwave brain’ – a processor that can compute on both ultrafast data signals and wireless communication signals using the physics of microwaves.
Integrated fully on a silicon microchip, the processor is regarded as the first-of-its-kind microwave neural network. It computes at a real-time frequency domain for tasks like radio signal decoding, radar target tracking, and digital data processing within 200 milliwatts of power.
“Because it’s able to distort in a programmable way across a wide band of frequencies instantaneously, it can be repurposed for several computing tasks,” said lead author Bal Govind, a doctoral student.
Maxwell Anderson, also a doctoral student, discussed the microchip’s ability to process many signals. “It bypasses a large number of signal processing steps that digital computers normally have to do,” he said.
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