Abstract: Disclosed is a copper-niobium alloy for a medical biopsy puncture needle. A needle core and/or needle tube of the puncture needle are/is made of the copper-niobium alloy. The copper-chromium alloy includes the following components by mass: 5?Nb?15 and the balance of Cu. A copper alloy with designed components is obtained by combining a diamagnetic material Cu with paramagnetic Nb, and compared with existing medical stainless steel and titanium alloy, the copper alloy has greatly reduced magnetic susceptibility, and specifically, the artifact area and volume are also significantly reduced. In addition, the blank of use of the copper alloy in medical biopsy paracentesis is filled.

Abstract: The application relates to a convolutional neural network acceleration method and system based on a Cortex-M processor, and a medium. The method comprises: setting a MCR instruction and a CDP instruction according to common basic operators of a convolutional neural network, the common basic operators comprising a convolution operator, a Relu activation operator, a pooling operator, a table look-up operator and a quantization operator; and configuring an internal register of a convolutional neural network coprocessor through the MCR instruction, and then enabling the common basic operators of the convolutional neural network through the CDP instruction. Through the application, problems of inefficiency, high cost and inflexibility of a cyclic neural network algorithm in the execution of a processor are solved, and the basic operators needed for the cyclic neural network to be executed through a coprocessor instruction set are realized.