REDUCING DIGITAL TEMPERATURE SENSOR ERROR WITH MACHINE LEARNING
Abstract:
Systems, apparatuses and methods may provide for chip technology including a memory structure having stored weights associated with a machine learning (ML) model, a plurality of digital temperature sensors to generate readings, and a classification engine to retrieve the stored weights from the memory structure and adjust the readings from the plurality of digital temperature sensors based on the weights and electrical parameters associated with the chip.
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