Abstract: An artificial intelligence network operator (aiNO) that autonomously and dynamically acquires network resources on an open marketplace includes software running a machine learning model and a processor that controls backhaul connectivity and a network communication component. In some embodiments, the aiNO facilitates resale of the acquired network resource to end users.

Abstract: Disclosed is a technique for passively monitoring the number of guests in a rental property. Mobile device broadcasts intended for connecting the device to a wireless network contain information about that device. This information includes unique identifiers such as MAC addresses. Detecting these broadcasts and filtering out those devices that are expected enables a property owner to have a semi-accurate number of guests within their property without actually being at the property, or visibly observing the guests in an obtrusive fashion. Guests are able to enjoy themselves in privacy and the property owner is able to monitor the safety of their property.

Abstract: The present disclosure generally relates to apparatus, software and methods for managing multi-channel network traffic to alleviate congestion, improve service quality and make efficient use of channel capacity. The disclosed apparatus, software and methods alleviate congestion and improve service quality by minimizing variance within a channel and/or increase overall traffic flow by minimizing the variance between channels. One or both of these objectives can be accomplished using modern portfolio theory to optimize at least one network usage parameter based on the mean and variance of the parameter(s).

Abstract: An artificial intelligence network operator (aiNO) that autonomously and dynamically acquires network resources on an open marketplace includes software running a machine learning model and a processor that controls backhaul connectivity and a network communication component. In some embodiments, the aiNO facilitates resale of the acquired network resource to end users.

Abstract: Agents, operating on user equipment, and related systems and methods for machine-learning aided autonomous control of mobile network access are disclosed. The agents, systems and methods allow for mobile network resources, which are pre-purchased or purchased in real-time, to be optimized according to a reward function that maximizes quality of experience as a function of price. Mobile network resources purchased in real-time may include spectrum bandwidth sold or auctioned in increments and purchased by UEs as needed.

Abstract: A method for dynamic allocation of communication resources includes (1) determining a risk-return characterization of a plurality of communication resource allocations across a plurality of communication channels in a communication system, (2) selecting a first allocation of the plurality of communication resource allocations from the risk-return characterization according to at least one predetermined criterion, and (3) automatically allocating communication resources among the plurality of communication channels according to the first allocation.

Abstract: Systems and methods for deduplicating data are provided. An index used in deduplicating data is distributed to clients. The clients can use the distributed index to provide hints as to whether the data is deduplicated at the server. The server may be associated with a main index used to confirm whether the data is deduplicated based on the hints.

Abstract: A novel method that dynamically changes the contention window of access points based on system load to improve performance in a dense Wi-Fi deployment is disclosed. A key feature is that no MAC protocol changes, nor client side modifications are needed to deploy the solution. Setting an optimal contention window can lead to throughput and latency improvements up to 155%, and 50%, respectively. Furthermore, an online learning method that efficiently finds the optimal contention window with minimal training data, and yields an average improvement in throughput of 53-55% during congested periods for a real traffic-volume workload replay in a Wi-Fi test-bed is demonstrated.

Abstract: The present disclosure generally relates to apparatus, software and methods for managing multi-channel network traffic to alleviate congestion, improve service quality and make efficient use of channel capacity. The disclosed apparatus, software and methods alleviate congestion and improve service quality by minimizing variance within a channel and/or increase overall traffic flow by minimizing the variance between channels. One or both of these objectives can be accomplished using modern portfolio theory to optimize at least one network usage parameter based on the mean and variance of the parameter(s).

Abstract: Disclosed is a technique for passively monitoring the number of guests in a rental property. Mobile device broadcasts intended for connecting the device to a wireless network contain information about that device. This information includes unique identifiers such as MAC addresses. Detecting these broadcasts and filtering out those devices that are expected enables a property owner to have a semi-accurate number of guests within their property without actually being at the property, or visibly observing the guests in an obtrusive fashion. Guests are able to enjoy themselves in privacy and the property owner is able to monitor the safety of their property.

Abstract: Disclosed is a technique for passively monitoring the number of guests in a rental property. Mobile device broadcasts intended for connecting the device to a wireless network contain information about that device. This information includes unique identifiers such as MAC addresses. Detecting these broadcasts and filtering out those devices that are expected enables a property owner to have a semi-accurate number of guests within their property without actually being at the property, or visibly observing the guests in an obtrusive fashion. Guests are able to enjoy themselves in privacy and the property owner is able to monitor the safety of their property.

Abstract: Systems and methods for deduplicating data are provided. An index used in deduplicating data is distributed to clients. The clients can use the distributed index to provide hints as to whether the data is deduplicated at the server. The server may be associated with a main index used to confirm whether the data is deduplicated based on the hints.

Abstract: A method for dynamic allocation of communication resources includes (1) determining a risk-return characterization of a plurality of communication resource allocations across a plurality of communication channels in a communication system, (2) selecting a first allocation of the plurality of communication resource allocations from the risk-return characterization according to at least one predetermined criterium, and (3) automatically allocating communication resources among the plurality of communication channels according to the first allocation.

Abstract: A novel method that dynamically changes the contention window of access points based on system load to improve performance in a dense Wi-Fi deployment is disclosed. A key feature is that no MAC protocol changes, nor client side modifications are needed to deploy the solution. Setting an optimal contention window can lead to throughput and latency improvements up to 155%, and 50%, respectively. Furthermore, an online learning method that efficiently finds the optimal contention window with minimal training data, and yields an average improvement in throughput of 53-55% during congested periods for a real traffic-volume workload replay in a Wi-Fi test-bed is demonstrated.

Abstract: Systems and methods for protecting and deduplicating streams of data in a cloud based platform. A platform is configured with multiple services and can communicate with multiple clients. The platform receives all requests at an endpoint and distributes the requests to workers using multiple queues. The platform may be stateless and is scalable. The meta-data is handled separately from the data in one example.

Abstract: Systems and methods for protecting and deduplicating streams of data in a cloud based platform. A platform is configured with multiple services and can communicate with multiple clients. The platform receives all requests at an endpoint and distributes the requests to workers using multiple queues. The platform may be stateless and is scalable. The meta-data is handled separately from the data in one example.

Abstract: Systems and methods for deduplicating data are provided. An index used in deduplicating data is distributed to clients. The clients can use the distributed index to provide hints as to whether the data is deduplicated at the server. The server may be associated with a main index used to confirm whether the data is deduplicated based on the hints.

Abstract: A method for dynamic allocation of communication resources includes (1) determining a risk-return characterization of a plurality of communication resource allocations across a plurality of communication channels in a communication system, (2) selecting a first allocation of the plurality of communication resource allocations from the risk-return characterization according to at least one predetermined criterium, and (3) automatically allocating communication resources among the plurality of communication channels according to the first allocation.

Abstract: The present disclosure generally relates to apparatus, software and methods for managing multi-channel network traffic to alleviate congestion, improve service quality and make efficient use of channel capacity. The disclosed apparatus, software and methods alleviate congestion and improve service quality by minimizing variance within a channel and/or increase overall traffic flow by minimizing the variance between channels. One or both of these objectives can be accomplished using modern portfolio theory to optimize at least one network usage parameter based on the mean and variance of the parameter(s).

Abstract: Systems and methods for protecting and deduplicating streams of data in a cloud based platform. A platform is configured with multiple services and can communicate with multiple clients. The platform receives all requests at an endpoint and distributes the requests to workers using multiple queues. The platform may be stateless and is scalable. The meta-data is handled separately from the data in one example.