Abstract: An ergonomic power supply for a computer system includes a printed circuit board assembly configured to convert a mains electricity input to voltage-regulated, direct-current (DC) outputs. The printed circuit board assembly defines a mains input and has one or more DC output connectors. An enclosure houses a fan and the printed circuit board assembly. The enclosure has a rear panel, a front panel positioned opposite the rear panel relative to the printed circuit board assembly. A side panel is positioned between the front and rear panel. The mains connector extends through an aperture defined by the rear panel of the enclosure. The one or more DC output connectors extend through the side panel. Such an arrangement provides significantly easier access to the power supply outputs compared to conventional power supplies. Associated computer systems also are described.

Abstract: A method of workload management in a Kubernetes (K8s) environment may include obtaining, by a digital twin (DT) representing a cluster state, performance data of at least one K8s cluster, generating, by the DT, a behavioral model based on the performance data, determining, by a horizontal pod autoscaler (HPA) controller, a HPA configuration based on the behavioral model and implementing, by an HPA of the at least one K8s cluster, the determined HPA configuration

Abstract: In a general aspect, a method can include receiving data defining an augmented reality (AR) environment including a representation of a physical environment, and changing tracking of an AR object within the AR environment between region-tracking mode and plane-tracking mode.

Abstract: In a general aspect, a method can include receiving data defining an augmented reality (AR) environment including a representation of a physical environment, and changing tracking of an AR object within the AR environment between region-tracking mode and plane-tracking mode.

Abstract: The present invention involves using one or more statistical classifiers in order to perform task classification on natural language inputs. In another embodiment, the statistical classifiers can be used in conjunction with a rule-based classifier to perform task classification.

Abstract: The present invention uses a natural language understanding system that is currently being trained to assist in annotating training data for training that natural language understanding system. Unannotated training data is provided to the system and the system proposes annotations to the training data. The user is offered an opportunity to confirm or correct the proposed annotations, and the system is trained with the corrected or verified annotations.

Abstract: Systems and methods for updating the presence information of a user associated with one or more clients. The presence information often indicates the status of a user in an instant messaging environment. A client view is associated with each separate client and the master view or status reflected to other subscribers or clients in the instant messaging environment is determined by evaluating each of the separate client views. In this manner the current status of a user may be accurately reflected to a user's subscribers.

Abstract: The present invention uses a natural language understanding system that is currently being trained to assist in annotating training data for training that natural language understanding system. Unannotated training data is provided to the system and the system proposes annotations to the training data. The user is offered an opportunity to confirm or correct the proposed annotations, and the system is trained with the corrected or verified annotations.

Abstract: The present invention uses a natural language understanding system that is currently being trained to assist in annotating training data for training that natural language understanding system. Unannotated training data is provided to the system and the system proposes annotations to the training data. The user is offered an opportunity to confirm or correct the proposed annotations, and the system is trained with the corrected or verified annotations.

Abstract: Method and systems are disclosed for enabling a computer system to generate a request that includes an instruction identifying the authentication method or methods to be used when authenticating a subset of the client computer systems or users network connected to a server computer system. The subset of client computer systems or users may include as little a single computer system or user. The request is then transmitted to the server computer system. When receiving subsequent requests for service from any of the subset of client computer systems or users, the server computer system will refer to the information in the instruction to determine which authentication methods are acceptable in authenticating the client computer system or user.

Abstract: Techniques are used to store information in a medium such as the memory cells of an integrated circuit, and also retrieval of information from the medium. The integrated circuit includes nonvolatile memory cells (416) capable of multilevel or analog voltage level storage. The integrated circuit may store or record information in analog or digital form, or both. Information is stored in and retrieved from the integrated circuit using a user-selected sampling frequency. The user's selection of the sampling frequency is stored within the integrated circuit.

Abstract: Techniques are used to store information in a medium such as the memory cells of an integrated circuit, and also retrieval of information from the medium. The integrated circuit includes nonvolatile memory cells (416) capable of multilevel or analog voltage level storage. The integrated circuit may store or record information in analog or digital form, or both. Information is stored in and retrieved from the integrated circuit using a user-selected sampling frequency. The user's selection of the sampling frequency is stored within the integrated circuit.

Abstract: A unique system and method that facilitates improving the ranking of items is provided. The system and method involve re-ranking decreasing subsets of high ranked items in separate stages. In particular, a basic ranking component can rank a set of items. A subset of the top or high ranking items can be taken and used as a new training set to train a component for improving the ranking among these high ranked documents. This process can be repeated on an arbitrary number of successive high ranked subsets. Thus, high ranked items can be reordered in separate stages by focusing on the higher ranked items to facilitate placing the most relevant items at the top of a search results list.

Abstract: Methods and systems are described for permitting a user to specify the criteria for determining the success or failure of the transmission of an instant message. A computer system first identifies the user specified criteria. When the server computer system receives an instant message, the computer system determines whether the user specified criteria have been met. If the criteria are met, the computer system returns a successful acknowledgement message to the user. Since the user sets the criteria by which success will be determined, the meaning of a successful acknowledgement message will be clear to the user.

Abstract: A human assisted method of debugging training data used to train a machine learning classifier is provided. The method includes obtaining a classifier training data set. The training data set is then debugged using an integrated debugging tool configured to implement a debugging loop to obtain a debugged data set. The debugging tool can be configured to perform an estimation and simplification step to reduce data noise in the training data set prior to further analysis. The debugging tool also runs a panel of prediction-centric diagnostic metrics on the training data set, and provides the user prediction based listings of the results of the panel of prediction-centric diagnostic metrics.

Abstract: Methods and systems are described for permitting a user to specify the criteria for determining the success or failure of the transmission of an instant message. A computer system first identifies the user specified criteria. When the server computer system receives an instant message, the computer system determines whether the user specified criteria have been met. If the criteria are met, the computer system returns a successful acknowledgement message to the user. Since the user sets the criteria by which success will be determined, the meaning of a successful acknowledgement message will be clear to the user.

Abstract: Methods and systems are described for controlling access to presence information using a plurality of different access permission types. Presence information is maintained over a computer network and describes availability of computers and associated users over that network. For example, instant messaging applications often involve maintaining presence information. Users control access to presence information using a number of different access permission types such as the right to view accurate presence information, the right to view any presence information, or the right to act on accessed presence information. By using several different access permission types, the present invention enables finer control over access to presence information.

Abstract: Methods and systems are described for controlling access to presence information using a plurality of different access permission types. Presence information is maintained over a computer network and describes availability of computers and associated users over that network. For example, instant messaging applications often involve maintaining presence information. Users control access to presence information using a number of different access permission types such as the right to view accurate presence information, the right to view any presence information, or the right to act on accessed presence information. By using several different access permission types, the present invention enables finer control over access to presence information.

Abstract: The present invention involves using one or more statistical classifiers in order to perform task classification on natural language inputs. In another embodiment, the statistical classifiers can be used in conjunction with a rule-based classifier to perform task classification. In one application, a statistical classifier is used in order ascertain if an input is a search query or a natural-language input.

Abstract: The present invention involves using one or more statistical classifiers in order to perform task classification on natural language inputs. In another embodiment, the statistical classifiers can be used in conjunction with a rule-based classifier to perform task classification.