US Patent Issued to Magnolia Electronics on Feb. 3 for "Machine learning-enabled analog-to-digital converter" (California Inventor)

ALEXANDRIA, Va., Feb. 3 -- United States Patent no. 12,542,558, issued on Feb. 3, was assigned to Magnolia Electronics Inc. (Los Angeles).

"Machine learning-enabled analog-to-digital converter" was invented by Luke Urban (Los Angeles).

According to the abstract* released by the U.S. Patent & Trademark Office: "A machine-learning-enabled analog-to-digital converter includes a parallel analog-to-digital converter array (PA ADC) and a machine-learning unit. The PA ADC receives an analog input signal and includes a signal routing unit and a parallel array of comparators. The signal routing unit produces a plurality of analog output channels, each based at least in part on the analog input signal. Each comparator of the parallel array of compa...