Amadeus

A hierarchical blockchain system is provided. The hierarchical blockchain system comprises: a plurality of blockchains and associated databases having a hierarchical relationship, wherein the plurality of blockchains, amongst hierarchical levels of the hierarchical relationship, are associated via one or more respective identifier types; and one or more computing devices configured to: populate the plurality of blockchains and the associated databases; and validate the plurality of blockchains. The plurality of blockchains are associated with different sets of validation mechanisms. Respective blockchains that are higher in the hierarchical relationship are associated with stricter validation mechanisms and further respective blockchains that are lower in the hierarchical relationship are associated with lighter validation mechanisms. The lighter validation mechanisms are more fault tolerant than the stricter validation mechanisms.

A method of interacting with web sites is provided. The method comprises receiving an input defining a job to be performed and determining one or more tasks on one or more web sites required to perform the job. For each of the one or more tasks, the method further comprises identifying, by a supervisor agent, one or more atomic processes required to perform the task on a web site. And for each of the one or more atomic processes, the method further comprises instructing, by the supervisor agent, a worker agent to perform the atomic process, and determining, by the worker agent, a function call relating to the atomic process for interacting with the web site. The supervisor agent and the worker agent are based on multimodal generative artificial intelligence models. A corresponding assistance system and computer program are provided, too.

A computing system (126) registers peripheral devices (110-1) in communication with a first computing unit (106-1) via local communication links (110-1). Registering peripheral devices (110-1) virtualizes peripheral devices (110-1) at the computer system (126) thereby making peripheral devices (110-1) available for use by computing units (106) in communication with the computer system (126), and wherein registering peripheral devices (110-1) occurs via a peripheral device virtualization application (112-1) installed at the first computing unit (106-1) in communication with the computer system (126). The computing system (126) receives from a second computing unit (106-2), a request for a list (120) of peripheral devices (110-1), and provides back the list (120) of peripheral devices (110-1). The computing system (126) receives, from the second computing unit (106-2), a selection of a peripheral device (110-1), of the peripheral devices (110-1), and enables use of the peripheral device (110-1) at the first computing unit (106-1), by the second computing unit (106-2), via the peripheral device virtualization application (112-1) at the first computing unit (106-1).

Aliveness detection method for determining whether a presented face in respect of a user is a real face, comprising: obtaining an image sequence comprising a plurality of images. Each image comprises left eye image data and right eye image data. Each image in the image sequence being acquired of the presented face under a respective flash setting from a flash setting sequence, the flash settings in the flash setting sequence including at least two different flash setting values. The method further comprises processing the image sequence to detect speckles in the right eye image data and the left eye image data from the image sequence, which are caused by the eyes reflecting a flash applied under a flash setting when acquiring least one image in the sequence, the flash setting for the at least one image being brighter than the flash setting for a preceding and/or a succeeding image. The processing comprises applying a filter to enhance speckle image data corresponding to the speckles in the image sequence relative to non-speckle image data in the image sequence, and/or to suppress the non-speckle image data relative to the speckle image data. If one left eye speckle and one right eye speckle are detected respectively from the left eye image data and the right eye image data in the image sequence, determining whether the detected left and right eye speckles match each other. The method comprises outputting a liveness detection result based at least partially on the determination.

A computerized method, system and computer program of controlling an update strategy of a cache are provided. A plurality of cache updating models applied on data entries of a test cache is analysed, wherein outdating probabilities of data entries of the test cache correspond to outdating probabilities of data entries of the cache. Analysing the plurality of cache updating models thereby comprises determining a value of an evaluation metric for a cache updating model of the plurality of cache updating models, wherein the evaluation metric is based on a target accuracy configurable by a user. Moreover, a cache updating model is selected based on the value of the evaluation metric of the cache updating model and the cache updating model is then applied on the cache.

A method, system, and computer program for cache-based response provision is presented. Responses to requests are stored in a cache, wherein each response is associated with one or more generated embeddings that were generated by at least two different embedding models to at least one input and/or applying the same embedding model on at least two different inputs. When a current request is received, a similarity of one or more current embeddings generated for the current request with the one or more generated embeddings of each cached response is determined. In response to determining that the similarity of the one or more current embeddings with the one or more generated embeddings of at least one response is above a threshold, the response associated with generated embeddings with the highest similarity is returned, whereas otherwise a new response from an original data source and returning the new response.

The present specification provides a multiplatform virtual retail store engine. The specification can have application to client devices with augmented or virtual reality hardware that interact with different platforms with metaverse capabilities. Rich experiences are provided on client hardware while making efficient use of available processing, memory and communication resources. Embodiments discuss the provision of a single retail store model which is dynamically adapted for generation across the plurality of different platforms according to the different metaverse capabilities. Embodiments also discuss include racking of the same user across different accounts on different metaverse platforms.

The present disclosure relates to method and apparatus for dynamic authentication control at a transit facility having a plurality of checkpoints. The method recites obtaining transit facility data pertaining to operations and schedules of the transit facility. The transit facility data is analyzed to determine a plurality of users expected at the checkpoint, and a number of enrolled and unenrolled users for being authenticated at a biometric authentication system are determined based on the transit facility data. Further, a set of unenrolled users expected to arrive at the authentication system for authentication are estimated using a ROC model. Further, using the ROC model, a false positive identification rate (FPIR) is predicted based on the number of enrolled users and a biometric authentication threshold value. Furthermore, one or more unenrolled users which are expected to be authenticated by the biometric authentication system are determined based on the set of unenrolled users and the FPIR. Lastly, the one or more unenrolled users expected to be authenticated are optimized by adjusting the threshold value to dynamically control the authentication at the transit facility.

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The present specification provides a system and method to generate passport-like images. The passport-like images can be generated from synthetic images, without use of personal identifiable information (PII). The passport-like images can be used for different applications such as to provide a machine learning dataset that can be used to control output devices based on a comparison of a real-time photograph of an individual with a passport photo of the individual.