Abstract: In one embodiment, a machine learning server in a computer network determines a plurality of computing features shared across a given set of computing products, and collects, from each computing product of the given set, problem-solution data for each computing feature of the plurality of computing features. Problem-solution data is indicative of problems related to a respective computing feature, attempted solution actions for the problems, and outcomes of the attempted solutions on the problem. The machine learning server updates a machine learning model of suggested solutions for computing-feature-specific problems based on the collected problem-solution data, and provides, based on the machine learning model, a particular suggested solution for a particular computing-feature-specific problem to a particular computing product.

Abstract: Systems and methods for using a cryptogram lockbox are disclosed. In one embodiment, in a merchant-specific cryptogram lockbox comprising at least one computer processor, a method for generating a cryptogram locally using a cryptogram lockbox may include: (1) receiving, from merchant backend, a request for a cryptogram comprising an account identifier received from a customer in a transaction; (2) generating a cryptogram for the account identifier using a limited use key for the account identifier; and (3) returning the cryptogram to the merchant backend. The merchant may conduct the transaction using the cryptogram.

Abstract: In one embodiment, a machine learning server in a computer network determines a plurality of computing features shared across a given set of computing products, and collects, from each computing product of the given set, problem-solution data for each computing feature of the plurality of computing features. Problem-solution data is indicative of problems related to a respective computing feature, attempted solution actions for the problems, and outcomes of the attempted solutions on the problem. The machine learning server updates a machine learning model of suggested solutions for computing-feature-specific problems based on the collected problem-solution data, and provides, based on the machine learning model, a particular suggested solution for a particular computing-feature-specific problem to a particular computing product.

Abstract: Methods and systems are disclosed which may provide MultiGig capability to a system where a physical layer device (PHY) or a network device does not have the capacity to support all available line speeds while operating in a single system-interface mode between MAC and PHY devices.

Abstract: Methods and systems are disclosed which may provide MultiGig capability to a system where a physical layer device (PHY) or a network device does not have the capacity to support all available line speeds while operating in a single system-interface mode between MAC and PHY devices.

Abstract: Disclosed herein are systems and methods of negotiating an acceptable speed for communication between at least two Ethernet devices connected by a link. In one aspect, the method monitors the link health and status and makes a speed choice decision based on the error rate and link partner capability.