Abstract: A neuron circuit and an artificial neural network chip are provided. The neuron circuit includes a memristor and an integrator. The memristor generates a pulse train having an oscillation frequency when an applied voltage exceeds a predetermined threshold. The integrator is connected in parallel to the memristor for receiving and accumulating input pulses transmitted by a previous layer network at different times, and driving the memristor to transmit the pulse train to a next layer network when a voltage of the accumulated input pulses exceeds the predetermined threshold.

Abstract: A configurable computing unit within memory including a first input transistor, a first weight transistor, a first resistor, a second input transistor, a second weight transistor, and a second resistor is provided. The first input transistor, the first weight transistor, and the first resistor are coupled in series between a first readout bit line and a common signal line. The first input transistor is coupled to a first input bit line, and the first weight transistor receives a first weight bit. The second input transistor, the second weight transistor, and the second resistor are coupled in series between the first readout bit line and the common signal line. The second input transistor is coupled to a second input bit line, and the second weight transistor receives the second weight bit.

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: An apparatus and a method for neural network computation are provided. The apparatus for neural network computation includes a first neuron circuit and a second neuron circuit. The first neuron circuit is configured to execute a neural network computation of at least one computing layer with a fixed feature pattern in a neural network algorithm. The second neuron circuit is configured to execute the neural network computation of at least one computing layer with an unfixed feature pattern in the neural network algorithm. The performance of the first neuron circuit is greater than that of the second neuron circuit.

Abstract: A neuron circuit and an artificial neural network chip are provided. The neuron circuit includes a memristor and an integrator. The memristor generates a pulse train having an oscillation frequency when an applied voltage exceeds a predetermined threshold. The integrator is connected in parallel to the memristor for receiving and accumulating input pulses transmitted by a previous layer network at different times, and driving the memristor to transmit the pulse train to a next layer network when a voltage of the accumulated input pulses exceeds the predetermined threshold.

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 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.

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 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.

Abstract: A sensor device and a method of manufacturing the same are provided. The sensor device includes a substrate, a plurality of sensing electrodes, a humidity nanowire sensor, a temperature nanowire sensor, and a gas nanowire sensor. The sensing electrodes are formed on the substrate, and the humidity, the temperature and the gas nanowire sensors are also on the substrate. The humidity nanowire sensor includes an exposed first nanowire sensing region, the temperature nanowire sensor includes a second nanowire sensing region, and the gas nanowire sensor includes a third nanowire sensing region.

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 gas sensing apparatus including a gas sensor, a gas determining circuit and a gas database is provided. The gas sensor includes at least two nanowire sensors. The gas sensor is configured to sense multiple gases and output a plurality of sensing signals. The gas determining circuit is coupled to the gas sensor. The gas determining circuit is configured to receive the sensing signals and determine types of the gases according to reference data and the sensing signals. The gas database is coupled to the gas determining circuit. The gas database stores the reference data and outputs the reference data to the gas determining circuit. Each of the nanowire sensors includes at least one nanowire. Structural properties of the nanowires are different.

Abstract: A posture sensing apparatus and posture sensing method are provided. The posture sensing apparatus includes a magnetic object and a first magnetic sensor. The magnetic object and the first magnetic sensor are disposed respectively at two different positions of a user or a wearing object that the user is wearing. The magnetic object emits a magnetic field. The first magnetic sensor senses the magnetic field emitted by the magnetic object to generate a first angle, so as to obtain a posture of the user based on the first angle.

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 variable-resistance memory and a writing method thereof are provided. The variable-resistance memory includes a variable-resistance memory cell, a voltage-signal-generation circuit, a switch circuit, a detection circuit, and a controller. The variable-resistance memory cell includes a variable-resistance component and a transistor. The voltage-signal-generation circuit is coupled to the control terminal of the transistor. The switch circuit is coupled to the variable-resistance component and transistor. The detection circuit is coupled to a voltage source and the switch circuit. The controller is coupled to the voltage-signal-generation circuit, switch circuit, and detection circuit. When the controller performs a writing operation on the variable-resistance memory cell, the voltage-signal-generation circuit provides a voltage signal to the transistor, and the detection circuit continuously detects whether the variable-resistance component performs a resistance conversion.

Abstract: A sensor device and a method of manufacturing the same are provided. The sensor device includes a substrate, a plurality of sensing electrodes, a humidity nanowire sensor, a temperature nanowire sensor, and a gas nanowire sensor. The sensing electrodes are formed on the substrate, and the humidity, the temperature and the gas nanowire sensors are also on the substrate. The humidity nanowire sensor includes an exposed first nanowire sensing region, the temperature nanowire sensor includes a second nanowire sensing region, and the gas nanowire sensor includes a third nanowire sensing region.

Abstract: A gas sensing apparatus including a gas sensor, a gas determining circuit and a gas database is provided. The gas sensor includes at least two nanowire sensors. The gas sensor is configured to sense multiple gases and output a plurality of sensing signals. The gas determining circuit is coupled to the gas sensor. The gas determining circuit is configured to receive the sensing signals and determine types of the gases according to reference data and the sensing signals. The gas database is coupled to the gas determining circuit. The gas database stores the reference data and outputs the reference data to the gas determining circuit. Each of the nanowire sensors includes at least one nanowire. Structural properties of the nanowires are different.

Abstract: A resistive memory system, a driver circuit thereof and a method for setting resistances thereof are provided. The resistive memory system includes a memory array, a row selection circuit, a first control circuit and a second control circuit. The memory array has a plurality of resistive memory cells. The row selection circuit is used for activating the resistive memory cells. The first control circuit and the second control circuit are coupled to the resistive memory cells. When each of resistive memory cells is set, the first control circuit and the second control circuit respectively provide a set voltage and a ground voltage to the each of resistive memory cells to form a set current, and the set current is clamped by at least one of the first control circuit and the second control circuit.

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.