Abstract: Use of a stereoselective transaminase in the asymmetric synthesis of a chiral amine. In particular, provided is use of a polypeptide in the production of a chiral amine or a downstream product using a chiral amine as a precursor. Further provided is a method for producing a chiral amine, comprising culturing a strain expressing the polypeptide so as to obtain a chiral amine. Further provided are novel prochiral compounds, a chiral amine production strain and a method for constructing the chiral amine production strain. The stereoselective transaminase has a broad substrate spectrum and thus has a broad application potential in the preparation of a chiral amine.

Abstract: Systems and methods are provided for performing random walk graph computing. One method may comprise generating a subset of walkers on a graph, maintaining the generated subset of walkers in a walker pool in a memory, loading a coarse-grained block of the graph from a non-volatile storage into a block buffer of the memory, generating pre-sampled edges for vertices in the coarse-grained block, storing the pre-sampled edges into a pre-sampled edge buffer allocated for the coarse-grained block and moving one or more walkers of the generated subset of walkers using the pre-sampled edges stored in the pre-sampled edge buffer. The generated subset of walkers may have an initial number determined based on a memory space allocated to the walker pool.

Abstract: Where an event is determined to have occurred at a location within a vicinity of a plurality of actors, imaging data captured using cameras having the location is processed using one or more machine learning systems or techniques operating on the cameras to determine which of the actors is most likely associated with the event. For each relevant pixel of each image captured by a camera, the camera returns a set of vectors extending to pixels of body parts of actors who are most likely to have been involved with an event occurring at the relevant pixel, along with a measure of confidence in the respective vectors. A server receives the vectors from the cameras, determines which of the images depicted the event in a favorable view, based at least in part on the quality of such images, and selects one of the actors as associated with the event accordingly.

Abstract: An image retrieval method, an image retrieval device, and an image retrieval system, which are used for image retrieval, are provided. The image retrieval method comprises: receiving a first original image (S100); extracting an image feature of the first original image to obtain a first feature code (S200); obtaining first target information according to the first feature code (S300); according to the first target information, searching for a first target painting set corresponding to the first target information in at least one of a painting library and a knowledge graph library, so as to obtain the first target painting set (S400); and outputting the first target painting set (S500).

Abstract: Where an event is determined to have occurred at a location within a vicinity of a plurality of actors, imaging data captured using cameras having the location is processed using one or more machine learning systems or techniques operating on the cameras to determine which of the actors is most likely associated with the event. For each relevant pixel of each image captured by a camera, the camera returns a set of vectors extending to pixels of body parts of actors who are most likely to have been involved with an event occurring at the relevant pixel, along with a measure of confidence in the respective vectors. A server receives the vectors from the cameras, determines which of the images depicted the event in a favorable view, based at least in part on the quality of such images, and selects one of the actors as associated with the event accordingly.

Abstract: Where an event is determined to have occurred at a location within a vicinity of a plurality of actors, imaging data captured using cameras having the location is processed using one or more machine learning systems or techniques operating on the cameras to determine which of the actors is most likely associated with the event. For each relevant pixel of each image captured by a camera, the camera returns a set of vectors extending to pixels of body parts of actors who are most likely to have been involved with an event occurring at the relevant pixel, along with a measure of confidence in the respective vectors. A server receives the vectors from the cameras, determines which of the images depicted the event in a favorable view, based at least in part on the quality of such images, and selects one of the actors as associated with the event accordingly.

Abstract: This disclosure provides an image recommendation method, a client, a server, a computer system and a medium. The method includes acquiring an image, sending the acquired image to a server, such that the server extracts a scale invariant feature of the acquired image and performs retrieval of identical images according to the scale invariant feature of the acquired image, and such that the server extracts a multi-scale feature of the acquired image and performs retrieval of similar images according to the multi-scale feature of the acquired image, and receiving at least one recommended image. The at least one recommended image is based on result of the identical image retrieval and result of the similar image retrieval.

Abstract: The embodiments of the present application provide an image conversion method, an image conversion system, an input device, a display device and a non-transitory computer readable storage medium. The image conversion method comprises: receiving, by an input device, an airflow, and generating airflow information; obtaining, by a display device, dynamic parameters according to the airflow information; converting, by the display device, the static image into a dynamic image according to the dynamic parameters; displaying, by the display device, the converted dynamic image.

Abstract: The present disclosure provides a method and apparatus for obtaining a painting. The method includes receiving an acquired face image of a user who is viewing a current painting, analyzing a received face image to determine a target region on the current painting that the user is gazing, and obtaining at least one associated painting associated with the target region. According to the present disclosure, paintings are recommended according to the user's current preference, accuracy of painting recommendation is increased, and then the user experience is improved.

Abstract: An information recommendation method and device and a storage medium. The information recommendation method includes: determining a target recommendation parameter corresponding to a page identifier of a page, according to the page identifier and a correspondence between a page identifier and a recommendation parameter; determining a corresponding target recommendation strategy according to the target recommendation parameter; querying a correspondence between a recommendation strategy and a recommendation result according to the target recommendation strategy, so as to obtain at least one initial recommendation result; and fusing the at least one initial recommendation result according to a corresponding weight to obtain a target recommendation result.

Abstract: This disclosure provides an image recommendation method, a client, a server, a computer system and a medium. The method includes acquiring an image, sending the acquired image to a server, such that the server extracts a scale invariant feature of the acquired image and performs retrieval of identical images according to the scale invariant feature of the acquired image, and such that the server extracts a multi-scale feature of the acquired image and performs retrieval of similar images according to the multi-scale feature of the acquired image, and receiving at least one recommended image. The at least one recommended image is based on result of the identical image retrieval and result of the similar image retrieval.

Abstract: The embodiments of the present application provide an image conversion method, an image conversion system, an input device, a display device and a non-transitory computer readable storage medium. The image conversion method comprises: receiving, by an input device, an airflow, and generating airflow information; obtaining, by a display device, dynamic parameters according to the airflow information; converting, by the display device, the static image into a dynamic image according to the dynamic parameters; displaying, by the display device, the converted dynamic image.

Abstract: The present disclosure provides a method and apparatus for obtaining a painting. The method includes receiving an acquired face image of a user who is viewing a current painting, analyzing a received face image to determine a target region on the current painting that the user is gazing, and obtaining at least one associated painting associated with the target region. According to the present disclosure, paintings are recommended according to the user's current preference, accuracy of painting recommendation is increased, and then the user experience is improved.