Abstract: A light emitting display apparatus according to an embodiment of the present disclosure comprises a light emitting display panel including pixels and stages configured to supply scan signals to the pixels, respectively, wherein each of the stages starts to be driven by a start pulse and outputs a scan pulse having a pulse width identical to a pulse width of the start pulse.

Abstract: A light emitting display apparatus includes a light emitting device configured to emit light; and a pixel driving circuit configured to drive the light emitting device. The pixel driving circuit includes: a first circuit part including a driving transistor and connected to a data line and a first driving voltage line to which a first driving voltage is supplied; a second circuit part connected to the light emitting device and to a second driving voltage line to which a second driving voltage is supplied; and an emission transistor connected between the first circuit part and the second circuit part.

Abstract: A reservoir management method includes: in response to receiving input data to which label information is mapped, determining whether to add the input data to a reservoir based on a sampling probability; in response to determining to add the input data to the reservoir when the reservoir is filled, selecting candidate data to be removed from among sets of sample data included in the reservoir based on a target label distribution and a current label distribution of the reservoir, and removing the selected candidate data from the reservoir; and training a neural network model using sample data of the reservoir from which the selected candidate data is removed.

Abstract: A method and apparatus with neural architecture search are provided. A processor-implemented method includes obtaining target data, sampling a trained first neural network into a plurality of second neural networks, training each of the second neural networks based on a portion of the target data, and selecting a second neural network satisfying a predetermined condition among the trained second neural networks for performing an inference operation.

Abstract: A viral vector delivery system for both respiratory and digestive tracts of pigs and an application thereof are provided. The viral vector delivery system includes a backbone plasmid and a helper plasmid. The backbone plasmid is produced by inserting a full-length cDNA of porcine enterovirus B (PEVB) into a pUC57 plasmid. The helper plasmid is produced by inserting a green fluorescent protein-coding gene into a plasmid pCAG-T7-polymerase. The viral vector delivery system can be constructed with high efficiency, can quickly cause a cytopathic effect (CPE) after infecting cells, has a viral titer up to 107.75 TCID50/mL, and can maintain high stability. A pathogenic epitope for the respiratory and digestive tracts of pigs is inserted into the backbone plasmid to produce a vaccine antigen, which is non-pathogenic, has high stability and a high viral titer, and allows a prominent immunization effect after being inoculated in pigs.

Abstract: A method includes generating, by a neural network having a plurality of layers, final feature vectors of one or more frames of a plurality of frames of an input video, while sequentially processing each of the plurality of, and generating image information corresponding to the input video based on the generated final feature vectors. For each of the plurality of frames, the generating of the final feature vectors comprises determining whether to proceed with or stop a corresponding sequenced operation through layers of the neural network for generating a final feature vector of a corresponding frame, and generating the final feature vector of the corresponding frame in response to the corresponding sequenced operation completing a final stage of the corresponding sequenced operation.

Abstract: A neural processor and a control method of the neural processor are provided. The neural processor includes plurality of processing element groups, wherein each of the processing element groups includes a plurality of processing elements configured to perform a vector operation, an overflow accumulator configured to be engaged by a processing element in which an overflow or underflow occurs from among the plurality of processing elements, and a register configured to store information indicating the processing element as an owner processing element.

Abstract: An accelerator resource management method and apparatus are disclosed. The accelerator resource management method includes receiving a task request for a neural network-related task and a resource scheduling policy for the neural network-related task, obtaining information on a current resource utilization status of an accelerator cluster comprising a plurality of accelerators, in response to the task request, and allocating an accelerator resource for performing the task based on a utility of a resource allocation that is based on the resource scheduling policy and the information.

Abstract: A neuromorphic memory circuit includes a plurality of memory cells, and each of the plurality of memory cells includes a first switching element having a threshold switching time determined based on a voltage applied to both ends of the first switching element at a time of receiving an input signal, and outputting the input signal in response to an elapse of the threshold switching time from a point in time at which the input signal is received; a first resistive memory element connected to the first switching element to divide the voltage applied to both ends of the first switching element; and a synapse circuit to generate an output signal in response to the input signal delayed by the threshold switching time.

Abstract: A method includes generating, by a neural network having a plurality of layers, final feature vectors of one or more frames of a plurality of frames of an input video, while sequentially processing each of the plurality of, and generating image information corresponding to the input video based on the generated final feature vectors. For each of the plurality of frames, the generating of the final feature vectors comprises determining whether to proceed with or stop a corresponding sequenced operation through layers of the neural network for generating a final feature vector of a corresponding frame, and generating the final feature vector of the corresponding frame in response to the corresponding sequenced operation completing a final stage of the corresponding sequenced operation.

Abstract: An authentication method and apparatus using a transformation model are disclosed. The authentication method includes generating, at a first apparatus, a first enrolled feature based on a first feature extractor, obtaining a second enrolled feature to which the first enrolled feature is transformed, determining an input feature by extracting a feature from input data with a second feature extractor different from the first feature extractor, and performing an authentication based on the second enrolled feature and the input feature.

Abstract: A viral vector delivery system for both respiratory and digestive tracts of pigs and an application thereof are provided. The viral vector delivery system includes a backbone plasmid and a helper plasmid. The backbone plasmid is produced by inserting a full-length cDNA of porcine enterovirus B (PEVB) into a pUC57 plasmid. The helper plasmid is produced by inserting a green fluorescent protein-coding gene into a plasmid pCAG-T7-polymerase. The viral vector delivery system can be constructed with high efficiency, can quickly cause a cytopathic effect (CPE) after infecting cells, has a viral titer up to 107.75 TCID50/mL, and can maintain high stability. A pathogenic epitope for the respiratory and digestive tracts of pigs is inserted into the backbone plasmid to produce a vaccine antigen, which is non-pathogenic, has high stability and a high viral titer, and allows a prominent immunization effect after being inoculated in pigs.

Abstract: Disclosed is an encryption method and apparatus. The encryption method using homomorphic encryption may include generating a ciphertext by encrypting data, and bootstrapping the ciphertext by performing a modular reduction based on a selection of one or more target points for a modulus corresponding to the ciphertext.

Abstract: An accelerator, an operation method of the accelerator, and an accelerator system including the accelerator are disclosed. The operation method includes receiving one or more workloads assigned on an accelerator, determining reuse data of the workloads based on hardware resource information and/or a memory access cost of the accelerator when a plurality of processing units included in the accelerator performs the workloads, and providing a result of performing the workloads.

Abstract: A scheduler, a method of operating the scheduler, and an electronic device including the scheduler are disclosed. The method of operating the scheduler configured to determine a model to be executed in an accelerator includes receiving one or more requests for execution of a plurality of models to be independently executed in the accelerator, and performing layer-wise scheduling on the models based on an idle time occurring when a candidate layer which is a target for the scheduling in each of the models is executed in the accelerator.

Abstract: Provided are an implantable medical device control system and a control method therefor, the system comprising: an implantable medical device implanted into the body so as to stimulate a specific area in the body; a management terminal for controlling the driving of the implantable medical device by communicating with the implantable medical device through a wireless communication method; and a management server connected with the management terminal so as to be capable of communicating therewith, assigning priority to each parameter included in patient condition information and storing and managing same, and providing the stored information, and thus, since priority is assigned to each parameter included in patient condition information and stimulation applied to a specific part in the body is adjusted according to the assigned priority, the entire parameter can be controlled such that a patient condition is maintained in a stabilized state by satisfying a preset reference value.

Abstract: A method and apparatus for classification using a neural network. A classification apparatus includes at least one processor and a memory. The memory is configured to store a classifier and a preprocessor including a defensive noise generator. The at least one processor generates defensive noise from an input image through the defensive noise generator in the preprocessor, generates a combined image by combining the input image and the defensive noise, and outputs a classification result by inputting the combined image to the classifier.

Abstract: An accelerator includes: a memory configured to store input data; a plurality of shift buffers each configured to shift input data received sequentially from the memory in each cycle, and in response to input data being stored in each of internal elements of the shift buffer, output the stored input data to a processing element (PE) array; a plurality of backup buffers each configured to store input data received sequentially from the memory and transfer the stored input data to one of the shift buffers; and the PE array configured to perform an operation on input data received from one or more of the shift buffers and on a corresponding kernel.

Abstract: A method of manufacturing a magnetic wire example includes depositing a magnetic film, which has a composition that enables measuring motion of a magnetic domain wall in the magnetic film, on/above a silicon substrate, forming the magnetic film on the silicon substrate on which the magnetic film is deposited using a wire pattern and an electrode pattern of a certain specification, shielding a central part of the magnetic wire in a photolithography method by an edge milling pattern which corresponds to a predetermined specification, and ablating an edge portion of the magnetic wire which is not shielded by an ion milling.

Abstract: An accelerator, an operation method of the accelerator, and an accelerator system including the accelerator are disclosed. The operation method includes receiving one or more workloads assigned on an accelerator, determining reuse data of the workloads based on hardware resource information and/or a memory access cost of the accelerator when a plurality of processing units included in the accelerator performs the workloads, and providing a result of performing the workloads.