Abstract: An image display method includes: processing a first image to obtain a first feature image, the first image being an image of a local area of a smear captured by a microscope, and the local area including multiple objects to be tested; obtaining a second feature image corresponding to the first feature image, the second feature image and the first feature image having a same size; obtaining a third feature image according to an image obtained by overlaying the first feature image and the second feature image, a feature point in the third feature image indicating a possibility that one of the multiple objects is an abnormal object; obtaining a second image according to the third feature image; and displaying the second image superimposed on the first image.

Abstract: The disclosure is directed to an automated disinfection system for a CT patient table, where the automated disinfection system for a CT patient table includes: a disinfection mechanism disposed above the CT patient table; a detection mechanism, disposed on the disinfection mechanism and configured to detect a position of the CT patient table; and a control mechanism, configured to communicate with the disinfection mechanism by using a communication interface, so as to control start/stop and operation of the disinfection mechanism, where the disinfection mechanism is configured to perform horizontal movement and vertical movement during scanning gaps of a plurality of patients, so as to disinfect a use surface of the CT patient table. The disclosure enables rapid and automated disinfection on the use surface of the CT patient table during scanning gaps of a plurality of patients, thereby reducing a risk of cross-infection and saving manpower.

Abstract: The present invention discloses a neuromorphic computer supporting billions of neurons, comprising hierarchical extended architecture and algorithmic process control within the architecture; the architecture comprises multiple neuromorphic computing chips with hierarchical organization management for implementing computing tasks, each containing computing neurons and synaptic resources and forming a neural network, spike events between computing neurons within the architecture are transmitted through a hierarchical transmission mode; the algorithmic process control comprises controlling parallel processing of computing tasks within the architecture, controlling management of synchronization time within the architecture, and controlling reconstruction of neural networks within the architecture to achieve fault tolerance and robust management of computing neurons and synaptic resources. The neuromorphic computer can support spiking neural network inference calculations with a neuron scale of billions.

Abstract: Disclosed are a parallel method and device for convolution computation and data loading of a neural network accelerator. The method needs two input feature maps and two convolution kernel cache blocks, and sequentially stores the input feature maps and 64 convolution kernels into cache sub-blocks according to a loading length, so as to execute convolution computation and simultaneously load data of a next group of 64 convolution kernels.

Abstract: In an object recognition method, an object recognition device obtains AER data of a to-be-recognized object, wherein the AER data includes a plurality of AER events of the to-be-recognized object, each AER event comprising a timestamp and address information. The object recognition device extracts a plurality of feature maps of the AER data. Each feature map including partial spatial information and partial temporal information of the to-be-recognized object, and the partial spatial information and the partial temporal information are obtained based on the timestamp and the address information of each AER event. The object recognition device then recognizes the to-be-recognized object based on the plurality of feature maps of the AER data.

Abstract: The present invention is enclosed in the area of panels for structural and decorative surfaces, in particular panels containing polymer-based materials, suitable for the coating of surfaces, for example, and containing such polymer-based materials in the respective layers. The present invention may relate to the integration of polymer granules, recycled or unrecycled, being particularly relevant when the granules are obtained from end-of-life polymer-based materials, for instance obtained from car tires into the core of compact laminate boards. It is therefore an object of the present invention a composite panel (100) for structural and decorative surfaces wherein it comprises a core panel, the core panel (10) comprising a mixture of granules of a polymeric material and a bonding element (1), the bonding element providing for the bonding of the granules of a polymeric material.