Abstract: There is provided a smart engine including a profile collector and a main processing module. The profile collector is configured to store a plurality of profiles, one or more suitable profiles being dynamically selected according to an instruction from a user or an automatic selector. The main processing module is connected to the profile collector and directly or indirectly connected to a sensor, and configured to perform a detailed analysis to determine detailed properties of features, objects, or scenes based on suitable sensor data from the sensor.

Abstract: An in-memory computing memory device is disclosed. The memory device comprises an array of memory cells, a plurality of word lines, a plurality of bit lines, (M+1) input circuits, a wordline driver and an evaluation circuitry. The array is divided into (M+1) lanes and each lane comprises P memory cell columns and an input circuit. The input circuit in each lane charges a predefined bit line with a default amount of charge proportional to an input synapse value and then distributes the default amount of charge to the other second bit lines with a predefined ratio based on a constant current. The evaluation circuitry couples a selected number of the bit lines to an accumulate line and convert an average voltage at the accumulate line into a digital value in response to a set of (M+1) input synapse values and the activated word line.

Abstract: An integrated circuit applied in a deep neural network is disclosed. The integrated circuit comprises at least one processor, a first internal memory, a second internal memory, at least one MAC circuit, a compressor and a decompressor. The processor performs a cuboid convolution over decompression data for each cuboid of an input image fed to any one of multiple convolution layers. The MAC circuit performs multiplication and accumulation operations associated with the cuboid convolution to output a convoluted cuboid. The compressor compresses the convoluted cuboid into one compressed segment and store it in the second internal memory. The decompressor decompresses data from the second internal memory segment by segment to store the decompression data in the first internal memory. The input image is horizontally divided into multiple cuboids with an overlap of at least one row for each channel between any two adjacent cuboids.

Abstract: There is provided a smart engine including a profile collector and a main processing module. The profile collector is configured to store a plurality of profiles, one or more suitable profiles being dynamically selected according to an instruction from a user or an automatic selector. The main processing module is connected to the profile collector and directly or indirectly connected to a sensor, and configured to perform a detailed analysis to determine detailed properties of features, objects, or scenes based on suitable sensor data from the sensor.

Abstract: An in-memory computing memory device is disclosed. The memory device comprises an array of memory cells, a plurality of word lines, a plurality of bit lines, (M+1) input circuits, a wordline driver and an evaluation circuitry. The array is divided into (M+1) lanes and each lane comprises P memory cell columns and an input circuit. The input circuit in each lane charges a predefined bit line with a default amount of charge proportional to an input synapse value and then distributes the default amount of charge to the other second bit lines with a predefined ratio based on a constant current. The evaluation circuitry couples a selected number of the bit lines to an accumulate line and convert an average voltage at the accumulate line into a digital value in response to a set of (M+1) input synapse values and the activated word line.

Abstract: A method for adjusting the adaptive screen-refresh rate and a device thereof are provided. The method for adjusting the adaptive screen-refresh rate includes the following steps: determining a first screen-refresh rate set by the display source; and based on the first screen-refresh rate, setting a refresh rate used by a displaying module for displaying the picture or frame on a displaying screen periodically.

Abstract: A method for adjusting the adaptive screen-refresh rate and a device thereof are provided. The method for adjusting the adaptive screen-refresh rate includes the following steps: determining a first screen-refresh rate set by the display source; and based on the first screen-refresh rate, setting a refresh rate used by a displaying module for displaying the picture or frame on a displaying screen periodically.