Abstract: An electronic device may determine whether a machine-learning model is operating within predefined limits. In particular, the electronic device may receive, from another electronic device, instructions for the machine-learning model, a reference input and a predetermined output of the machine-learning model for the reference input. Note that the instructions may include an architecture of the machine-learning model, weights associated with the machine-learning model and/or a set of pre-processing transformations for use when executing the machine-learning model on images. In response, the electronic device may configure the machine-learning model based on the instructions. Then, the electronic device may calculate an output of the machine-learning model for the reference input. Next, the electronic device may determine whether the machine-learning model is operating within predefined limits based on the output and the predetermined output.

Abstract: The present disclosure provides methods for purifying a recombinant AAV (rAAV) vector from a solution by affinity chromatography to produce an eluate enriched for AAV vectors (rAAV vectors).

Abstract: The present disclosure provides methods for purifying a recombinant AAV (rAAV) vector from a solution by anion-exchange chromatography (AEX) to produce an eluate enriched for full capsids and depleted of empty capsids.

Abstract: In order to maintain performance during wireless communication, a transmitting electronic device may selectively perform a remedial action based on a received power in a channel during time intervals between received packets (e.g., due to interference) and/or a metric associated with the measured received power. In particular, when the received power is less than a threshold value (e.g., when the interference is insufficient to stop transmission by the transmitting electronic device), the transmitting electronic device performs the remedial action based on the measured received power and/or the metric. For example, the remedial action may include: selecting a modulation technique; selecting the receiving electronic device; selecting an antenna pattern for the one or more antennas; reducing a transmit power; selecting a data rate; determining a cumulative distribution function; and/or estimating a channel capacity.

Abstract: In order to maintain performance during wireless communication, a transmitting electronic device may selectively perform a remedial action based on a monitored throughput. In particular, the transmitting electronic device may monitor communication with one or more receiving electronic devices, and may calculate a throughput metric based on the monitored communication. For example, the transmitting electronic device may monitor data rates, may receive feedback about the communication from at least one of the receiving electronic devices, and may determine an observed distribution of the data rates. Then, the transmitting electronic device may compare the throughput metric to a threshold value. If the throughput metric is less than the threshold value, the transmitting electronic device may perform the remedial action.

Abstract: Systems and methods for instituting redistribution of wireless clients to improve service, comprising via access point (AP), multiple APs acting in concert, and/or a central entity, in connection with a network, allowing a client to associate; deciding that an associated client should be redistributed based on a connection metric, wherein the decision is based on at least one of, a probability calculation, network metric and a threshold comparison; and via the AP, sending the associated client a trigger, wherein the trigger is at least one of, a redistribution request and a disconnect message.

Abstract: Systems and methods for improving data transmission rates in communication networks are disclosed. In an 802.11 wireless communication network, where a source node of the wireless network transmits TCP data to a destination node of the wireless network, the destination node does not transmit TCP acknowledgments (ACKs) for the TCP data if 802.11 ACKs indicate that the destination node received the TCP data. If a source outside the wireless network transmits TCP data to the destination node within the wireless network through an intermediate device, such as an access point, the destination node suppresses transmitting TCP ACKs. The intermediate device transmits TCP ACKs as proxy for the destination node to the source. The intermediate device also suppresses TCP ACKs where a source node within the wireless network sends the TCP data to a destination node outside of the wireless network.

Abstract: Systems and methods for instituting redistribution of wireless clients to improve service, comprising via access point (AP), multiple APs acting in concert, and/or a central entity, in connection with a network, allowing a client to associate; deciding that an associated client should be redistributed based on a connection metric, wherein the decision is based on at least one of, a probability calculation, network metric and a threshold comparison; and via the AP, sending the associated client a trigger, wherein the trigger is at least one of, a redistribution request and a disconnect message.

Abstract: In order to maintain performance during wireless communication, a transmitting electronic device may selectively perform a remedial action based on a received power in a channel during time intervals between received packets (e.g., due to interference) and/or a metric associated with the measured received power. In particular, when the received power is less than a threshold value (e.g., when the interference is insufficient to stop transmission by the transmitting electronic device), the transmitting electronic device performs the remedial action based on the measured received power and/or the metric. For example, the remedial action may include: selecting a modulation technique; selecting the receiving electronic device; selecting an antenna pattern for the one or more antennas; reducing a transmit power; selecting a data rate; determining a cumulative distribution function; and/or estimating a channel capacity.

Abstract: Methods and systems for provisioning unique identifiers to a plurality of access points (APs) in a wireless network and radios associated thereto is provided. By utilizing a testing apparatus in communication via a network with the APs, the methods and systems assign a unique radio test identifier for an AP in the plurality of APs and provisions the AP radio associated with the AP in the plurality of APs with the corresponding unique radio test identifier. The testing apparatus has a provisioning mode that can be switched on or off. Also provided are a system for provisioning the unique identifiers and applications thereof; for example, in testing and providing maintenance of APs.

Abstract: In order to maintain performance during wireless communication, a transmitting electronic device may selectively perform a remedial action based on a received power in a channel during time intervals between received packets (e.g., due to interference) and/or a metric associated with the measured received power. In particular, when the received power is less than a threshold value (e.g., when the interference is insufficient to stop transmission by the transmitting electronic device), the transmitting electronic device performs the remedial action based on the measured received power and/or the metric. For example, the remedial action may include: selecting a modulation technique; selecting the receiving electronic device; selecting an antenna pattern for the one or more antennas; reducing a transmit power; selecting a data rate; determining a cumulative distribution function; and/or estimating a channel capacity.

Abstract: In order to maintain performance during wireless communication, a transmitting electronic device may selectively perform a remedial action based on a monitored throughput. In particular, the transmitting electronic device may monitor communication with one or more receiving electronic devices, and may calculate a throughput metric based on the monitored communication. For example, the transmitting electronic device may monitor data rates, may receive feedback about the communication from at least one of the receiving electronic devices, and may determine an observed distribution of the data rates. Then, the transmitting electronic device may compare the throughput metric to a threshold value. If the throughput metric is less than the threshold value, the transmitting electronic device may perform the remedial action.

Abstract: An electronic device may determine whether a machine-learning model is operating within predefined limits. In particular, the electronic device may receive, from another electronic device, instructions for the machine-learning model, a reference input and a predetermined output of the machine-learning model for the reference input. Note that the instructions may include an architecture of the machine-learning model, weights associated with the machine-learning model and/or a set of pre-processing transformations for use when executing the machine-learning model on images. In response, the electronic device may configure the machine-learning model based on the instructions. Then, the electronic device may calculate an output of the machine-learning model for the reference input. Next, the electronic device may determine whether the machine-learning model is operating within predefined limits based on the output and the predetermined output.

Abstract: A system and method for improving radio performance through automatic channel selection utilizing a closed-channel model is disclosed. A measurement engine records maximum user throughput on a per station basis during normal traffic operation. The measurement engine further records throughput metrics based on test traffic sent to all associated stations during idle operation. A policy logic engine utilizes the measurements to determine an optimal transmission channel for transmission and receipt of data.

Abstract: In order to maintain performance during wireless communication, a transmitting electronic device may selectively perform a remedial action based on a monitored throughput. In particular, the transmitting electronic device may monitor communication with one or more receiving electronic devices, and may calculate a throughput metric based on the monitored communication. For example, the transmitting electronic device may monitor data rates, may receive feedback about the communication from at least one of the receiving electronic devices, and may determine an observed distribution of the data rates. Then, the transmitting electronic device may compare the throughput metric to a threshold value. If the throughput metric is less than the threshold value, the transmitting electronic device may perform the remedial action.

Abstract: An electronic device may determine whether a machine-learning model is operating within predefined limits. In particular, the electronic device may receive, from another electronic device, instructions for the machine-learning model, a reference input and a predetermined output of the machine-learning model for the reference input. Note that the instructions may include an architecture of the machine-learning model, weights associated with the machine-learning model and/or a set of pre-processing transformations for use when executing the machine-learning model on images. In response, the electronic device may configure the machine-learning model based on the instructions. Then, the electronic device may calculate an output of the machine-learning model for the reference input. Next, the electronic device may determine whether the machine-learning model is operating within predefined limits based on the output and the predetermined output.

Abstract: A system and method for improving radio performance through automatic channel selection utilizing a closed-channel model is disclosed. A measurement engine records maximum user throughput on a per station basis during normal traffic operation. The measurement engine further records throughput metrics based on test traffic sent to all associated stations during idle operation. A policy logic engine utilizes the measurements to determine an optimal transmission channel for transmission and receipt of data.

Abstract: After analyzing images or videos, a computer system may display or present visual performance feedback with an interactive visual representation of a data-analysis pipeline, where the visual representation includes separate and coupled data-analysis operations in a set of data-analysis operations that includes the one or more machine-learning models. Moreover, in response to a user-interface command the specifies a given data-analysis operation, the computer system may display or present a group of images or videos and associated performance information for the given data-analysis operation, where a given image or video corresponds to an instance of the given data-analysis operation. Furthermore, when the computer system receives user feedback about one at least one of the images or videos in the group of images or videos, the computer system performs a remedial action based at least in part on the user feedback. For example, the computer system may dynamically modify the data-analysis pipeline.

Abstract: Methods and systems for provisioning unique identifiers to a plurality of access points (APs) in a wireless network and radios associated thereto is provided. By utilizing a testing apparatus in communication via a network with the APs, the methods and systems assign a unique radio test identifier for an AP in the plurality of APs and provisions the AP radio associated with the AP in the plurality of APs with the corresponding unique radio test identifier. The testing apparatus has a provisioning mode that can be switched on or off. Also provided are a system for provisioning the unique identifiers and applications thereof; for example, in testing and providing maintenance of APs.

Abstract: Methods and computer-executable instructions for mapping performance data of wireless systems include receiving from an access point actual performance information, such as throughput, of a user device at a particular time, along with an identifier of the access point, and location information of the user device. Then, using the received actual performance information, the received location information, and the particular time to map the received actual performance information on a map of an area around the mobile device. In certain embodiments, converting the mapped actual performance information into a visual reference gradient for display on the user device.