Apple Inc.

Ariel Landau

Barak Sagiv

Eyal Gurgi

Barak Baum

Yoav Feinmesser

Rafi Vitory

Einav Yogev

A memory system includes an interface and storage circuitry. The interface is configured to communicate with a plurality of memory cells that store data by setting the memory cells to analog voltages representative of respective storage values. The storage circuitry is configured to receive data for storage, to measure a temperature at a time of programming the received data, and, to program the received data to the memory cells using a first programming scheme when the measured temperature falls within a predefined normal temperature range, and otherwise to program the received data to the memory cells using a second programming scheme having a lower net storage utilization than the first programming scheme.

Programming schemes for avoidance or recovery from cross-temperature read failures

Embodiments herein relate to using a convolutional neural network (CNN) for time-of-flight estimation in a wireless communication system. A wireless device may receive, from a remote device, wireless communications including a first transmission time value associated with the transmission of the wireless communications. The wireless device may perform a coarse time-of-arrival (TOA) estimation on the wireless communications received from the remote device. The coarse TOA estimation may be used to generate an estimated impulse response, which may be input to a CNN associated with the wireless device to calculate a line-of-sight estimate. The wireless device may determine a range between the wireless device and the remote device based on the transmission time value and the line-of-sight estimate.

Time of flight estimation using a convolutional neural network

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Tel Aviv, Israel

Ariel Landau