Abstract:
A resistive random-access memory device includes a memory array, a read circuit, a write-back logic circuit and a write-back circuit. The read circuit reads the data stored in a selected memory cell and accordingly generates a first control signal. The write-back logic circuit generates a write-back control signal according to the first control signal and a second control signal. The write-back circuit performs a write-back operation on the selected memory cell according to the write-back control signal and a write-back voltage, so as to change a resistance state of the selected memory cell from a low resistance state to a high resistance state, and generates the second control signal according to the resistance state of the selected memory cell.
Abstract:
A sensor interface circuit and sensor output adjusting method are provided. The sensor interface circuit includes a processor and a gain control circuit. The processor obtains information of a linear region of a sensor to set a configuration corresponding to the sensor. The gain control circuit is coupled to the processor, performs a return-to-zero operation for a maximum electronic value and a minimum electronic value corresponding to the linear region and performs a full-scale operation for a slope of the linear region according to the maximum input range of an analog-to-digital converter which is a subsequent-stage circuit of the sensor interface circuit.
Abstract:
A memory storage circuit includes a volatile memory portion, a control portion, and a non-volatile memory portion. The volatile memory portion includes a first node and a second node to store a pair of complementary logic data. The control portion includes a first transistor and a second transistor. Gate electrodes of the first and second transistors are coupled to receive a store signal, and first electrodes of the first and second transistors are coupled to receive a control signal. The non-volatile memory portion includes a first resistive memory element and a second resistive memory element to store the pair of complementary logic data. The first resistive memory element is coupled between a second electrode of the first transistor and the first node, and the second resistive memory element is coupled between a second electrode of the second transistor and the second node.
Abstract:
A memory storage circuit includes a volatile memory portion, a control portion, and a non-volatile memory portion. The volatile memory portion includes a first node and a second node to store a pair of complementary logic data. The control portion includes a first transistor and a second transistor. Gate electrodes of the first and second transistors are coupled to receive a store signal, and first electrodes of the first and second transistors are coupled to receive a control signal. The non-volatile memory portion includes a first resistive memory element and a second resistive memory element to store the pair of complementary logic data. The first resistive memory element is coupled between a second electrode of the first transistor and the first node, and the second resistive memory element is coupled between a second electrode of the second transistor and the second node.
Abstract:
A data feature augmentation system and method for a low-precision neural network are provided. The data feature augmentation system includes a first time difference unit. The first time difference unit includes a first sample-and-hold circuit and a subtractor. The first sample-and-hold circuit is used for receiving an input signal and obtaining a first signal according to the input signal. The first signal is related to a first leakage rate of the first sample-and-hold circuit and the first signal is the signal generated by delaying the input signal by one time unit. The subtractor is used for performing subtraction on the input signal and the first signal to obtain a time difference signal. The input signal and the time difference signal are inputted to the low-precision neural network.
Abstract:
A readout circuit for a sensor and a readout method thereof are provided. The readout circuit includes a reference circuit, a compensated circuit, and a signal processing circuit. The reference circuit provides a direct current (DC) signal. The compensated circuit is coupled to the reference circuit. The compensated circuit obtains an analog sensing signal of the sensor, obtains the DC signal from the reference circuit, and provides a compensated signal according to the analog sensing signal and the DC signal. The signal processing circuit is coupled to the compensated circuit. The signal processing circuit processes the compensated signal to convert the compensated signal into a digital sensing signal. The compensated circuit subtracts the DC signal from the analog sensing signal to provide the compensated signal.
Abstract:
A neural circuit is provided. The neural circuit includes a neural array. The neural array includes a plurality of semiconductor components. Each of the semiconductor components stores a weighting value to generate a corresponding output current or a corresponding equivalent resistance. The neural array receives a plurality of input signals to control the semiconductor components in the neural array and respectively generates the output currents or changes the equivalent resistances. Since the semiconductor components are coupled to each other, output of the neural array may generate a summation current or a summation equivalent resistance related to the input signals and a weighting condition, so that a computing result exhibits high performance.
Abstract:
A configurable logic block (CLB) and an operation method of the CLB are provided. The CLB includes memory units and a selecting circuit. The memory unit includes a first resistive non-volatile memory (RNVM) element and a second RNVM element. Top electrodes (TEs) of the first and second RNVM elements are coupled to an output terminal of the memory unit. Bottom electrodes (BEs) of the first and second RNVM elements are respectively coupled to a first bias terminal and a second bias terminal of the memory unit. The selecting circuit selects one of the memory units according to an input logic value and determines an output logic value of the CLB according to an output logic value of the selected memory unit.
Abstract:
A configurable logic block (CLB) and an operation method of the CLB are provided. The CLB includes memory units and a selecting circuit. The memory unit includes a first resistive non-volatile memory (RNVM) element and a second RNVM element. Top electrodes (TEs) of the first and second RNVM elements are coupled to an output terminal of the memory unit. Bottom electrodes (BEs) of the first and second RNVM elements are respectively coupled to a first bias terminal and a second bias terminal of the memory unit. The selecting circuit selects one of the memory units according to an input logic value and determines an output logic value of the CLB according to an output logic value of the selected memory unit.
Abstract:
A method of manufacturing a sensor device is provided. In the method, sensing electrodes are formed on a substrate, a sensing material layer is formed on the sensing electrodes. The sensing material layer is etched to form a first nanowire sensing region, a second nanowire sensing region and a third nanowire sensing region respectively between every two sensing electrodes of the sensing electrodes. A dielectric layer is formed to cover the first nanowire sensing region, the second nanowire sensing region and the third nanowire sensing region, and the first nanowire sensing region and the third nanowire sensing region are exposed.