Abstract: Systems and methods for persistent storage with a dual interface. In some embodiments, a persistent storage device includes: a processing circuit; a cache; and persistent storage. The processing circuit may be configured to perform a method, the method including: receiving a first write request according to a first protocol; saving a data payload of the first write request in a first portion of the cache; receiving a second write request according to a second protocol; and saving a data payload of the second write request in a second portion of the cache.

Abstract: Embodiments of the present disclosure provide a dual-modality neuromorphic vision sensor. A first-type current-mode active pixel sensor (APS) circuit can mimic excitatory rod cells, to perceive light intensity gradient information in a target light signal, thereby improving a dynamic arrange of an image sensed by a neuromorphic, vision sensor and its shooting speed. In addition, a first-type control switch is introduced for each of non-target first-type photosensitive devices, to control the obtained light intensity gradient information, and adjust the dynamic arrange of the image sensed by the neuromorphic vision sensor, thereby adjusting the shooting speed, and realizing a reconfigurable effect A voltage-mode APS can mimic cone cells, to output a target voltage signal representing light intensity information in the target light signal, and perceive the light intensity information in the target light signal.

Abstract: A computer-implemented method for speech recognition is disclosed. The method includes extracting a feature word associated with location information from a speech to be recognized, and calculating a similarity between the feature word and respective ones of a plurality of candidate words in a corpus. The corpus includes a first sub-corpus associated with at least one user, and the plurality of candidate words include, in the first sub-corpus, a first standard candidate word and at least one first erroneous candidate word. The at least one first erroneous candidate word has a preset correspondence with the first standard candidate word. The method further includes in response to the similarity between the feature word and one or more of the at least one first erroneous candidate word satisfying a predetermined condition, outputting the first standard candidate word as a recognition result based on the preset correspondence.

Abstract: There is provided a neural network information receiving method and system, and a sending method and system. The receiving method comprises: acquiring a reception initiation time for neuron information (S100); receiving rostral neuron information output by rostral neurons (S200); acquiring delay information of the rostral neuron information according to the reception initiation time, the rostral neuron information and a delay algorithm (S300); and determining composite information output by the rostral neurons according to the rostral neuron information and the delay information (S400). The receiving method and system and sending method and system take the delay information into consideration in the output information of neurons, such that the neuron information is able to carry more detailed time-domain information, thus augmenting operation modes of the neurons and enhancing the generalization ability of the whole network.

Abstract: Embodiments of the present disclosure provide a cone-rod dual-modality neuromorphic vision sensor, including: a first preset quantity of voltage-mode active pixel sensor (APS) circuits and a second preset quantity of current-mode APS circuits, where each of the voltage-mode APS circuits includes a first-type photosensitive device, and each of the current-mode APS circuits includes a second-type photosensitive device. The voltage-mode APS can output a target voltage signal representing light intensity information in a target light signal. The obtained target voltage signal represents the light intensity information with a higher precision, and therefore an image with higher quality can be obtained, that is, the image has a higher signal-noise ratio.

Abstract: Embodiments of the present disclosure provide a dual-modality neuromorphic vision sensor. A first-type current-mode active pixel sensor (APS) circuit can mimic excitatory rod cells, to perceive light intensity gradient information in a target light signal, thereby improving a dynamic arrange of an image sensed by a neuromorphic, vision sensor and its shooting speed. In addition, a first-type control switch is introduced for each of non-target first-type photosensitive devices, to control the obtained light intensity gradient information, and adjust the dynamic arrange of the image sensed by the neuromorphic vision sensor, thereby adjusting the shooting speed, and realizing a reconfigurable effect A voltage-mode APS can mimic cone cells, to output a target voltage signal representing light intensity information in the target light signal, and perceive the light intensity information in the target light signal.

Abstract: The disclosure relates to a self-adaptive leakage value neuron information processing method and system. The method includes: receiving front end pulse neuron output information; reading current pulse neuron information, wherein the current pulse neuron information includes self-adaptive membrane potential leakage information; calculating current pulse neuron output information according to the front end pulse neuron output information and the current pulse neuron information; updating the self-adaptive membrane potential leakage information according to the current pulse neuron output information; outputting the current pulse neuron output information.

Abstract: There are provided a neural network weight discretizing method, system and device, and a computer readable storage medium. The method includes acquiring a weight value range and a number of discrete weight states, the weight value range referring to a range of discrete weight values consisting of a maximum weight value of a current time step and a minimum weight value of the current time step, and the number of discrete weight states referring to the quantity of discrete weight states. The method also includes acquiring a weight state of a previous time step and a weight increment of the current time step and acquiring a state transfer direction by using a directional function according to the weight increment of the current time step. The method also includes acquiring a weight state of the current time step according to the weight state of the previous time step, the weight increment of the current time step, the state transfer direction, the weight value range and the number of discrete weight states.

Abstract: The present disclosure relates to a use of an ADAM9 inhibitor in manufacture of an immunomodulator. The immunomodulator can change the distribution of immune cells in a tumor and increase the infiltration of the immune cells, thereby increasing the efficacy of cancer immunotherapy. Furthermore, the immunomodulator can be used to enhance an effectiveness of a cancer immunotherapy, and the ADAM9 inhibitor can be a compound of Formula (I), or a pharmaceutically acceptable salt or stereoisomer thereof.

Abstract: A computer-implemented method for speech recognition is disclosed. The method includes extracting a feature word associated with location information from a speech to be recognized, and calculating a similarity between the feature word and respective ones of a plurality of candidate words in a corpus. The corpus includes a first sub-corpus associated with at least one user, and the plurality of candidate words include, in the first sub-corpus, a first standard candidate word and at least one first erroneous candidate word. The at least one first erroneous candidate word has a preset correspondence with the first standard candidate word. The method further includes in response to the similarity between the feature word and one or more of the at least one first erroneous candidate word satisfying a predetermined condition, outputting the first standard candidate word as a recognition result based on the preset correspondence.

Abstract: The disclosure relates to a self-adaptive leakage value neuron information processing method and system. The method includes: receiving front end pulse neuron output information; reading current pulse neuron information, wherein the current pulse neuron information includes self-adaptive membrane potential leakage information; calculating current pulse neuron output information according to the front end pulse neuron output information and the current pulse neuron information; updating the self-adaptive membrane potential leakage information according to the current pulse neuron output information; outputting the current pulse neuron output information.

Abstract: A neural network information reception method and system, and a sending method and system. The reception method comprises: acquiring a reception initiation time of neuron information (S100); receiving rostral neuron information output by rostral neurons (S200); acquiring, according to the reception initiation time, the rostral neuron information and a delay algorithm, delay information of the rostral neuron information (S300); and determining, according to the rostral neuron information and the delay information, composite information output by the rostral neurons (S400).

Abstract: Provided are a neural network weight discretizing method, system and device, and a readable storage medium, the method involving: acquiring a weight value range and the number of discrete weight states; acquiring a weight state of the previous time step and a weight increment of the current time step; according to the weight increment of the current time step, using a directional function to acquire a state switching direction; and according to the weight state at the previous time step, the weight increment at the current time step, the state switching direction, the weight value range and the number of discrete weight states, acquiring a weight state of the current time step. The method ensures that the weight values are always constrained in the same discrete-state space, without the need for storing an additional virtual continuous-state implicit weight.

Abstract: The present disclosure relates to a method, system and computer device for converting neural network information. The method comprises receiving neuron input information input by a preceding neuron, comprising receiving artificial neuron input information input by a preceding artificial neuron or receiving spiking neuron input information input by a preceding spiking neuron; converting the artificial neuron input information into spiking neuron conversion information through a preset artificial information conversion algorithm according to the artificial neuron input information input by the preceding artificial neuron; or converting the spiking neuron input information into artificial neuron conversion information through a preset spiking information conversion algorithm according to the spiking neuron input information input by the preceding spiking neuron; and outputting the spiking neuron conversion information or the artificial neuron conversion information.

Abstract: A method for removing native oxides from a substrate surface is provided. In one embodiment, the method comprises positioning a substrate having an oxide layer into a processing chamber, exposing the substrate to a gas mixture while forming a volatile film on the substrate and maintaining the substrate at a temperature below 65° C., heating the substrate to a temperature of at least about 75° C. to sublimate the volatile film and remove the oxide layer, and depositing a first layer on the substrate after heating the substrate.

Abstract: A multi-chamber processing system includes a transfer chamber, a first processing chamber outfitted to perform CVD, a second processing chamber, and a robot positioned to transfer substrates between the transfer chamber, the first processing chamber, and the second processing chamber. The second processing chamber may include one or a combination of a first electrode and a second electrode comprising a plasma cavity formed therein.

Abstract: A method for removing native oxides from a substrate surface is provided. In one embodiment, the method comprises positioning a substrate having an oxide layer into a processing chamber, exposing the substrate to a gas mixture while forming a volatile film on the substrate and maintaining the substrate at a temperature below 65° C., heating the substrate to a temperature of at least about 75° C. to sublimate the volatile film and remove the oxide layer, and depositing a first layer on the substrate after heating the substrate.

Abstract: A method for removing native oxides from a substrate surface is provided. In one embodiment, the method comprises positioning a substrate having an oxide layer into a processing chamber, generating a plasma of a reactive species from a gas mixture within the processing chamber, exposing the substrate to the reactive species while forming a volatile film on the substrate and maintaining the substrate at a temperature below 65° C., heating the substrate to a temperature of at least about 75° C. to vaporize the volatile film and remove the oxide layer, and depositing a first layer on the substrate after heating the substrate.

Abstract: In one embodiment, a method for removing native oxides from a substrate surface is provided which includes supporting a substrate containing silicon oxide within a processing chamber, generating a plasma of reactive species from a gas mixture within the processing chamber, cooling the substrate to a first temperature of less than about 65° C. within the processing chamber, and directing the reactive species to the cooled substrate to react with the silicon oxide thereon while forming a film on the substrate. The film usually contains ammonium hexafluorosilicate. The method further provides positioning the substrate in close proximity to a gas distribution plate, and heating the substrate to a second temperature of about 100° C. or greater within the processing chamber to sublimate or remove the film. The gas mixture may contain ammonia, nitrogen trifluoride, and a carrier gas.

Abstract: The present invention provides a multilevel read-only optical disk and the method for producing the same. The multilevel read-only optical disk comprises a plurality of the recording pits, each of the longitudinal sections of the recording pits has a multilevel arbitrary shape; the areas of the longitudinal sections of the recording pits are not identical each other; the area of each of the longitudinal sections of the recording pits is defined by the following formula: S=?h(x)dx, where S represents the area of each of the longitudinal sections of the recording pits, x represents the coordinate value along the width direction of the recording pits, h(x) represents the pit-depth distribution function of the longitudinal sections of the recording pits and the region of the integration covers the whole longitudinal sections of the recording pits. Furthermore, the run length of the multilevel read-only optical disk is limited.