Abstract: The wait time prediction technology determines expected wait times for businesses or other public services using a model generated based on at least historical wait times for the business. In response to a request from a user, an expected wait time for service at the business for at least one particular time period on a particular day of a week is determined using the model and provided for display. User feedback regarding the expected wait time may be requested, and used to refresh the model as new wait times and other information are collected.

Abstract: Disclosed are apparatuses, systems, and techniques to perform and facilitate fast and efficient modular computational operations, such as modular division and modular inversion, using shared platforms, including hardware accelerator engines.

Abstract: The present invention relates to a non-invasive cardiac monitoring device that records cardiac data to infer physiological characteristics of a human, such as cardiac arrhythmia. Some embodiments of the invention allow for long-term monitoring of physiological signals. Further embodiments allow for processing of the detected cardiac rhythm signals partially on the wearable cardiac monitor device, and partially on a remote computing system. Some embodiments include a wearable cardiac monitor device for long-term adhesion to a mammal for prolonged detection of cardiac rhythm signals.

Abstract: Some embodiments include processing data via an executable file on a monitor to reduce the dimensionality of the data being transmitted over the wireless network. The output of the executable file also encrypts the data before being transmitted wireless to a remote server. The remote server receives the transmitted data and makes likelihood inferences based on the recorded data.

Abstract: Some embodiments include processing data via an executable file on a monitor to reduce the dimensionality of the data being transmitted over the wireless network. The output of the executable file also encrypts the data before being transmitted wireless to a remote server. The remote server receives the transmitted data and makes likelihood inferences based on the recorded data.

Abstract: Some embodiments include processing data via an executable file on a monitor to reduce the dimensionality of the data being transmitted over the wireless network. The output of the executable file also encrypts the data before being transmitted wireless to a remote server. The remote server receives the transmitted data and makes likelihood inferences based on the recorded data.

Abstract: The present invention relates to a non-invasive cardiac monitoring device that records cardiac data to infer physiological characteristics of a human, such as cardiac arrhythmia. Some embodiments of the invention allow for long-term monitoring of physiological signals. Further embodiments allow for processing of the detected cardiac rhythm signals partially on the wearable cardiac monitor device, and partially on a remote computing system. Some embodiments include a wearable cardiac monitor device for long-term adhesion to a mammal for prolonged detection of cardiac rhythm signals.

Abstract: The present invention relates to a non-invasive cardiac monitoring device that records cardiac data to infer physiological characteristics of a human, such as cardiac arrhythmia. Some embodiments of the invention allow for long-term monitoring of physiological signals. Further embodiments allow for processing of the detected cardiac rhythm signals partially on the wearable cardiac monitor device, and partially on a remote computing system. Some embodiments include a wearable cardiac monitor device for long-term adhesion to a mammal for prolonged detection of cardiac rhythm signals.

Abstract: Some embodiments include processing data via an executable file on a monitor to reduce the dimensionality of the data being transmitted over the wireless network. The output of the executable file also encrypts the data before being transmitted wireless to a remote server. The remote server receives the transmitted data and makes likelihood inferences based on the recorded data.

Abstract: Some embodiments include processing data via an executable file on a monitor to reduce the dimensionality of the data being transmitted over the wireless network. The output of the executable file also encrypts the data before being transmitted wireless to a remote server. The remote server receives the transmitted data and makes likelihood inferences based on the recorded data.

Abstract: The present invention relates to a non-invasive cardiac monitoring device that records cardiac data to infer physiological characteristics of a human, such as cardiac arrhythmia. Some embodiments of the invention allow for long-term monitoring of physiological signals. Further embodiments allow for processing of the detected cardiac rhythm signals partially on the wearable cardiac monitor device, and partially on a remote computing system. Some embodiments include a wearable cardiac monitor device for long-term adhesion to a mammal for prolonged detection of cardiac rhythm signals.

Abstract: Some embodiments include processing data via an executable file on a monitor to reduce the dimensionality of the data being transmitted over the wireless network. The output of the executable file also encrypts the data before being transmitted wireless to a remote server. The remote server receives the transmitted data and makes likelihood inferences based on the recorded data.

Abstract: Some embodiments include processing data via an executable file on a monitor to reduce the dimensionality of the data being transmitted over the wireless network. The output of the executable file also encrypts the data before being transmitted wireless to a remote server. The remote server receives the transmitted data and makes likelihood inferences based on the recorded data.

Abstract: The present invention relates to a non-invasive cardiac monitoring device that records cardiac data to infer physiological characteristics of a human, such as cardiac arrhythmia. Some embodiments of the invention allow for long-term monitoring of physiological signals. Further embodiments allow for processing of the detected cardiac rhythm signals partially on the wearable cardiac monitor device, and partially on a remote computing system. Some embodiments include a wearable cardiac monitor device for long-term adhesion to a mammal for prolonged detection of cardiac rhythm signals.

Abstract: Some embodiments include processing data via an executable file on a monitor to reduce the dimensionality of the data being transmitted over the wireless network. The output of the executable file also encrypts the data before being transmitted wireless to a remote server. The remote server receives the transmitted data and makes likelihood inferences based on the recorded data.

Abstract: Some embodiments include processing data via an executable file on a monitor to reduce the dimensionality of the data being transmitted over the wireless network. The output of the executable file also encrypts the data before being transmitted wireless to a remote server. The remote server receives the transmitted data and makes likelihood inferences based on the recorded data.

Abstract: Some embodiments include processing data via an executable file on a monitor to reduce the dimensionality of the data being transmitted over the wireless network. The output of the executable file also encrypts the data before being transmitted wireless to a remote server. The remote server receives the transmitted data and makes likelihood inferences based on the recorded data.

Abstract: The present invention relates to a non-invasive cardiac monitoring device that records cardiac data to infer physiological characteristics of a human, such as cardiac arrhythmia. Some embodiments of the invention allow for long-term monitoring of physiological signals. Further embodiments allow for processing of the detected cardiac rhythm signals partially on the wearable cardiac monitor device, and partially on a remote computing system. Some embodiments include a wearable cardiac monitor device for long-term adhesion to a mammal for prolonged detection of cardiac rhythm signals.

Abstract: Some embodiments include processing data via an executable file on a monitor to reduce the dimensionality of the data being transmitted over the wireless network. The output of the executable file also encrypts the data before being transmitted wireless to a remote server. The remote server receives the transmitted data and makes likelihood inferences based on the recorded data.

Abstract: The wait time prediction technology determines expected wait times for businesses or other public services using a model generated based on at least historical wait times for the business. In response to a request from a user, an expected wait time for service at the business for at least one particular time period on a particular day of a week is determined using the model and provided for display. User feedback regarding the expected wait time may be requested, and used to refresh the model as new wait times and other information are collected.