Abstract: A floating point pre-alignment structure for computing-in-memory applications includes a time domain exponent computing block and an input mantissa pre-align block. The time domain exponent computing block is configured to compute a plurality of original input exponents and a plurality of original weight exponents to generate a plurality of flags. Each of the flags is determined by adding one of the original input exponents and one of the original weight exponents. The input mantissa pre-align block is configured to receive a plurality of original input mantissas and shift the original input mantissas according to the flags to generate a plurality of weighted input mantissas, and sparsity of the weighted input mantissas is greater than sparsity of the original input mantissas. Each of the flags has a negative correlation with a sum of the one of the original input exponents and the one of the original weight exponents.

Abstract: A memory unit with time domain edge delay accumulation for computing-in-memory applications is controlled by a first word line and a second word line. The memory unit includes at least one memory cell, at least one edge-delay cell multiplexor and at least one edge-delay cell. The at least one edge-delay cell includes a weight reader and a driver. The weight reader is configured to receive a weight and a multi-bit analog input voltage and generate a multi-bit voltage according to the weight and the multi-bit analog input voltage. The driver is connected to the weight reader and configured to receive an edge-input signal. The driver is configured to generate an edge-output signal having a delay time according to the edge-input signal and the multi-bit voltage. The delay time of the edge-output signal is positively correlated with the multi-bit analog input voltage multiplied by the weight.

Abstract: Some aspects relate to techniques for calibrating a logging tool. In some implementations, the logging tool may estimate certain unknown properties of a signal based on distances between transmitters and receivers of the logging tool and based on frequencies used by the transmitters and receivers. The logging tool may estimate the unknown properties by interpolating values into a mathematical function related to the above-noted distances and frequencies. After estimating the unknown properties, the logging tool may be deployed into the wellbore, where it may use the estimated properties to process signals received through a subsurface formation.

Abstract: Disclosed is a method for identifying a subject at risk of developing a recurrent or metastatic cancer, comprising detecting PD-L1+ circulating tumor cells in a blood sample, a tissue fluid sample or a specimen of the subject. Also disclosed is method for treating a cancer comprising identifying a subject having one ore more PD-L1+ circulating tumor cells by detecting PD-L1+ circulating tumor cells in a blood sample, a tissue fluid sample or a specimen of the subject, and administering a treatment to the subject.