Abstract: Data describing code sets of multiple systems is received. The received data includes a first code set associated with a first system and a second code set associated with a second system. Equivalencies between the first code set and the second code set are determined based on (1) logical definitions associated with the first code set and logical definitions associated with the second code set and (2) one or more outputs associated with the first system and one or more outputs associated with the second system. A coding scheme is identified to standardize the codes in the first code set and the codes in the second code set. Codes of the first code set are mapped to codes of the second code set using the coding scheme.

Abstract: A jitter buffering system and a method of jitter buffering. The jitter buffering system may be embodied in a quality of service (QoS) management server, including: (1) a network interface controller (NIC) configured to receive one-way-delay statistics regarding a video stream transmitted to a client, and (2) a processer configured to employ the one-way-delay statistics to calculate and recognize jitter and subsequently generate a command for the client to enable jitter buffering.

Abstract: A quality of service (QoS) management server and a method of managing a streaming bit rate. One embodiment of a QoS management server includes: (1) an encoder operable to encode a video stream at a current bit rate for transmission via a network interface controller (NIC) and (2) a processor operable to receive QoS statistics regarding the video stream via the NIC, employ the QoS statistics to determine a new bit rate and cause the encoder to encode the video stream at the new bit rate.

Abstract: A quality of service (QoS) management system and a method of forward error correction (FEC). One embodiment of the QoS management system includes a QoS management server including: (1) an encoder operable to forward error correction (FEC) encode a video stream at a current redundancy level for transmission via a network interface controller (NIC), and (2) a processor operable to receive QoS statistics regarding the video stream via the NIC, employ the QoS statistics to determine a new redundancy level and cause the encoder to FEC encode the video stream at the new redundancy level.

Abstract: A jitter buffering system and a method of jitter buffering. The jitter buffering system may be embodied in a quality of service (QoS) management server, including: (1) a network interface controller (NIC) configured to receive one-way-delay statistics regarding a video stream transmitted to a client, and (2) a processer configured to employ the one-way-delay statistics to calculate and recognize jitter and subsequently generate a command for the client to enable jitter buffering.

Abstract: A quality of service (QoS) management server and a method of managing QoS. One embodiment of the QoS management server, includes: (1) a network interface controller (NIC) configured to receive QoS statistics indicative of conditions of a network over which rendered video is transmitted, the rendered video having a fidelity and a latency, and (2) a graphics processing unit (GPU) operable to employ said QoS statistics to tune said fidelity to affect said latency.

Abstract: Data describing code sets of multiple systems is received. The received data includes a first code set associated with a first system and a second code set associated with a second system. Equivalencies between the first code set and the second code set are determined based on (1) logical definitions associated with the first code set and logical definitions associated with the second code set and (2) one or more outputs associated with the first system and one or more outputs associated with the second system. A coding scheme is identified to standardize the codes in the first code set and the codes in the second code set. Codes of the first code set are mapped to codes of the second code set using the coding scheme.

Abstract: Data describing human-machine interfaces available to a user, facts relating to a circumstance of the user, a current human-machine interface being employed by the user, and an initial sentiment associated with the circumstance of the user is received. A target sentiment is computed based on the facts relating to a circumstance of the user. A navigation path to achieve the target sentiment based on the initial sentiment is determined. The next-best human-machine interface to be employed by the user is determined based on the navigation path, the one or more human-machine interfaces available to the user, and the current human-machine interface being employed by the user.

Abstract: Data identifying two or more functionally similar systems is received. Functional similarities across the two or more functionally similar systems are identified. The functional similarities are grouped into one or more categories. A proportion of each of the grouped functional similarities relative to each of the two or more functionally similar systems is measured. Based on the proportion of each of the grouped functional similarities, a non-redundant system comprising at least some functionality from each of the two or more functionally similar systems is identified.

Abstract: The systems and methods relate to decision making processes. Data associated with a request for a decision is received. Risks associated with the request are identified. Decision queries associated with each of the identified risks are determined. Any non-standard attributes associated with each of the identified risks are identified. A confidence level threshold for each of the identified risks is determined. A decision recommendation, generated by a machine learning component, is received. The decision recommendation includes a response to each of the one or more decision queries, determined based on the exceptional attributes, if any, and a confidence level associated with the response. The confidence level is compared to the confidence level threshold. Based on the comparison, a decision path for responding to the request is determined. Decision path actions are determined based on the decision path.

Abstract: Embodiments of noise reduction systems and methods are disclosed. One method embodiment, among others, comprises transforming a residual signal to produce transform coefficients, and applying the transform coefficients to a quantization matrix and a configurable gain matrix to provide a frequency-selective weighting of the transform coefficients having a gain that is sensitive to noise levels.