Abstract: A method for data management is provided. The method comprises: storing the plurality of items in a contiguous space within the memory, executing an instruction containing an address and a size that together identify the contiguous space to transmit the plurality of items from the main memory to a random-access memory (RAM) on a chip, and the chip includes a computing unit comprising a plurality of multipliers; and instructing the computing unit on the chip to: retrieve multiple of the plurality of items from the RAM; and perform a plurality of parallel operations using the plurality of multipliers with the multiple items to yield output data.

Abstract: Disclosed is an apparatus for performing a convolution operation in a convolutional neural network. The apparatus may comprise a selector for selecting one or more nonzero elements of a weight parameter, a selector for selecting a data item(s) corresponding to selected nonzero elements in input feature data, and a calculator unit for performing an operation. The apparatus may realize the convolution operation in a sparsified convolutional neural network efficiently through the hardware.

Abstract: Disclosed are a method and an apparatus for performing an operation of a convolutional layer in a convolutional neural network.

Abstract: Disclosed are a method and an apparatus for performing convolution operation on folded feature data. The method comprises; reading the folded feature data provided to a convolution layer and an original convolution kernel from a dynamic random access memory (DRAM); pre-processing the folded feature data and the original convolution kernel; storing the pre-processed folded feature data into a static random-access memory (SRAM); folding the pre-processed original convolution kernel in at least one dimension of width or height according to a folding manner of the folded feature data to generate one or more folded convolution kernels corresponding to the original convolution kernel; storing the one or more folded convolution kernels in the SRAM; and reading the pre-processed folded feature data and the one or more folded convolution kernels from the SRAM into a calculation unit for convolving the pre-processed folded feature data with the one or more folded convolution kernels.

Abstract: Disclosed are a method and an apparatus for performing an operation of a convolutional layer in a convolutional neural network. The method includes reading unfolded-feature-data and an original convolution kernel from DRAM, padding the unfolded-feature-data, folding the padded unfolded-feature-data in at least one dimension folded feature data, storing the folded feature data into a SRAM, folding the original convolution kernel in the at least one dimension to generate one or more folded convolution kernels, storing the one or more folded convolution kernels in the SRAM and reading the folded feature data and the one or more folded convolution kernels from the SRAM into a calculation circuit for performing a convolution operation on the folded feature data by using the one or more folded convolution kernels.

Abstract: A method and an apparatus for adapting feature data in a convolutional neural network. The method includes selecting a plurality of consecutive layers; determining an expected number of subdata blocks and a layout position, width and height of each subdata block in an output feature data of a last layer; determining, for each current layer, a layout position, width, and height of each subdata block of an input feature data for the current layer according to the layout position, width, and height of each subdata block of the output feature data for the current layer; determining an actual position of each subdata block of the input feature data for a first layer in the input feature data for the first layer; and obtaining the expected number of subdata blocks of the input feature data for the first layer according to the actual position, width and height of each subdata block of the input feature data for the first layer.

Abstract: A method and apparatus for performing operations in a convolutional neural network. A method for performing operations in a convolutional neural network may include splitting a weight parameter of a selected layer in the convolutional neural network to obtain an operational parameter array including a plurality of operational parameters, performing operations in the selected layer by using each operational parameter in the operational parameter array to obtain a partial operational result array including a plurality of partial operational results, and generating one or more output data of the selected layer based on the partial operational result array. By this method, the convolutional neural network may achieve an improved execution efficiency.

Abstract: Disclosed are a method and an apparatus for adapting parameters of a neural network. The method includes selecting one or more dimensions for a weight parameter of each of at least one layer of the neural network, determining a dimension value and a corresponding target value in each dimension of the weight parameter, and padding the weight parameter in a case where the dimension value in at least one dimension of the weight parameter is less than the corresponding target value, the dimension value in each dimension of the weight parameter after the padding being equal to the corresponding target value.

Abstract: A method for data management is provided. The method comprises: storing the plurality of items in a contiguous space within the memory, executing an instruction containing an address and a size that together identify the contiguous space to transmit the plurality of items from the main memory to a random-access memory (RAM) on a chip, and the chip includes a computing unit comprising a plurality of multipliers; and instructing the computing unit on the chip to: retrieve multiple of the plurality of items from the RAM; and perform a plurality of parallel operations using the plurality of multipliers with the multiple items to yield output data.

Abstract: A method for data management is provided. The method comprises: storing the plurality of items in a contiguous space within the memory, executing an instruction containing an address and a size that together identify the contiguous space to transmit the plurality of items from the main memory to a random-access memory (RAM) on a chip, and the chip includes a computing unit comprising a plurality of multipliers; and instructing the computing unit on the chip to: retrieve multiple of the plurality of items from the RAM; and perform a plurality of parallel operations using the plurality of multipliers with the multiple items to yield output data.

Abstract: In an apparatus and method for magnetic field assisted electrochemical discharge machining (ECDM), the magneto hydrodynamic (MHD) effect is utilized to improve the thickness of bubble film and the electrolyte circulation so as to enhance the machining accuracy and efficiency. Since charged ions in a magnetic field are induced by Lorenz force to move, and the electrolysis bubbles generated in the ECDM process are suffused with electrification ions on their surfaces, the electrolysis bubbles can be forced to move in the direction of the magnetic field without the need of mechanical disturbance. The present invention can be widely applied in the micro-machining of non-conductive brittle materials of different dimensions and shapes, comprising the forming of microchannels and microholes on a biochip, and in the micro-opto-electro-mechanical system (MOEMS) and various kinds of micro-machining fields. The machined surface is smooth and does not require a second time machining.

Abstract: A recording apparatus characterized in that comprising a firmware configured to execute the following operation: performing a recording operation onto a rewritable optical recording medium with a recording speed selected from one of a plurality of recording speeds for an one-time optical recording medium; wherein the recording layer of the rewritable optical recording medium comprises at least four elements from Ge, In, Sb, Te, and Sn, wherein the component proportion of Sb/Te is ranged from 3 to 8, and the thickness of the recording layer is ranged from 3 nm to 25 nm.

Abstract: In an apparatus and method for magnetic field assisted electrochemical discharge machining (ECDM), the magneto hydrodynamic (MHD) effect is utilized to improve the thickness of bubble film and the electrolyte circulation so as to enhance the machining accuracy and efficiency. Since charged ions in a magnetic field are induced by Lorenz force to move, and the electrolysis bubbles generated in the ECDM process are suffused with electrification ions on their surfaces, the electrolysis bubbles can be forced to move in the direction of the magnetic field without the need of mechanical disturbance. The present invention can be widely applied in the micro-machining of non-conductive brittle materials of different dimensions and shapes, comprising the forming of microchannels and microholes on a biochip, and in the micro-opto-electro-mechanical system (MOEMS) and various kinds of micro-machining fields. The machined surface is smooth and does not require a second time machining.

Abstract: The present invention relates to methods of identifying agents which modulate the activity of PIPKI?661. Methods of using such agents to prevent or treat a cell migration-mediated condition or disease in a subject are also provided.

Abstract: The present invention relates to methods of identifying agents which modulate the activity of PIPKI?661. Methods of using such agents to prevent or treat a cell migration-mediated condition or disease in a subject are also provided.

Abstract: The present invention relates to methods of identifying agents which modulate the activity of PIPKI?661. Methods of using such agents to prevent or treat a cell migration-mediated condition or disease in a subject are also provided.

Abstract: The present disclosure teaches that PIPKI? binds cadherins and adaptor protein ?-subunits and mediates trafficking of cadherins to and from the plasma membrane. Thus, the present invention relates to a method for identifying agents which modulate the trafficking or binding activities of a PIPKI?. A method for diagnosing and prognosing a cancer derived from epithelial cells by detecting the amount and subcellular location of PIPKI? is also provided as is a method for preventing or treating a disease or condition involving PIPK? activity or cadherin localization.

Abstract: The present invention relates to methods of identifying agents which modulate the activity of PIPKI?661. Methods of using such agents to prevent or treat a cell migration-mediated condition or disease in a subject are also provided.

Abstract: The present invention relates to methods of identifying agents which modulate the activity of PIPKI?661. Methods of using such agents to prevent or treat a cell migration-mediated condition or disease in a subject are also provided.

Abstract: The present invention relates to methods of identifying agents which modulate the activity of PIPKI&ggr;661. Methods of using such agents to prevent or treat a cell migration-mediated condition or disease in a subject are also provided.