Abstract: Epitaxial structure for micro light emitting diode (LED) includes, from bottom to top, a semiconductor substrate (102), an N-type electrical conductive layer (108), a N-type cladding layer (110), an active light emitting layer (114), a P-type cladding layer (118), and a P-type electrical conductive layer (120,122,124). The epitaxial structure for micro LED further includes an oxide layer (210) within the N-type cladding layer (110) and/or between the N-type electrical conductive layer (108) and the N-type cladding layer (110), and/or an oxide layer (410) within the P-type cladding layer (118) and/or between the P-type electrical conductive layer (120,122,124) and the P-type cladding layer (118). The oxide layer (210,410) is formed as an oxide ring, which effectively increases the PN junction current density and the light emission efficiency of the LED device. A one-time or a two-time transfer fabrication process is used to form the LED device.

Abstract: Disclosed are a data caching method and apparatus for multiple concurrent deep learning training tasks. The method includes: step 1, executing preheating training for each task, collecting feature parameters of training batch samples, and sorting all the tasks according to the collected feature parameters; step 2, calculating the sample number of each training batch hit in a cache of each task under system pre-allocation, and the expected sample number of each training batch hit in the cache of each task; step 3, concurrently executing deep learning training by using a cache dynamic allocation and management strategy; and step 4, when each task enters a last training epoch, adding no new sample data to the caches of these tasks, gradually releasing the occupied cache, and making the released cache to be used by other tasks that are not finished.

Abstract: A payment processing system receives one or more indications of a user's location at a time that the user initiates a transaction with a merchant system at a physical location of the merchant system, processes the transaction, and receives a merchant point of sale identifier from the issuer system associated with the financial account information selected by the user. The payment processing system creates a combined list of candidate merchant identities based on the received merchant POS identifier and the user computing device location. The payment processing system calculates a probability for each of the merchant identities in the list based on similarity to the merchant POS identifier and user location data. The payment processing system associates the merchant POS identifier with the merchant identity having the highest probability and creates an annotated transaction record to display to the user.

Abstract: A payment processing system receives one or more indications of a user's location at a time that the user initiates a transaction with a merchant system at a physical location of the merchant system, processes the transaction, and receives a merchant point of sale identifier from the issuer system associated with the financial account information selected by the user. The payment processing system creates a combined list of candidate merchant identities based on the received merchant POS identifier and the user computing device location. The payment processing system calculates a probability for each of the merchant identities in the list based on similarity to the merchant POS identifier and user location data. The payment processing system associates the merchant POS identifier with the merchant identity having the highest probability and creates an annotated transaction record to display to the user.

Abstract: A payment processing system receives one or more indications of a user's location at a time that the user initiates a transaction with a merchant system at a physical location of the merchant system, processes the transaction, and receives a merchant point of sale identifier from the issuer system associated with the financial account information selected by the user. The payment processing system creates a combined list of candidate merchant identities based on the received merchant POS identifier and the user computing device location. The payment processing system calculates a probability for each of the merchant identities in the list based on similarity to the merchant POS identifier and user location data. The payment processing system associates the merchant POS identifier with the merchant identity having the highest probability and creates an annotated transaction record to display to the user.