US Patent Issued to Magnolia Electronics on May 13 for "Machine learning-enabled analog-to-digital converter" (California Inventor)

ALEXANDRIA, Va., June 12 -- United States Patent no. 12,301,243, issued on May 13, 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 method for calibrating a machine-learning unit includes generating an analog calibration signal from an input sequence; generating a digital calibration signal by taking digital samples representing the value of the analog calibration signal at a predetermined sample rate; and applying the analog calibration signal as an input to a physical parallel array analog-to-digital converter (PA ADC) to produce a digital response. The met...