Abstract: This disclosure describes a system and method for compiling and executing machine learning inferences in an array of multi-core computing devices. Each multi-core computing device can be an application specific integrated circuit (ASIC) or group of ASICS. In many applications, the array of computing devices changes from inference to inference, and can be adjusted based on the requirements of the inference. Additionally, each ASIC can have multiple processing cores, and multiple types of processing cores. Therefore, performing optimizations and scheduling at compile time, can dramatically increase the efficiency of the array in executing the inference. In some implementations, it is possible to select an amount of time or effort to be spent optimizing during compiling, giving the user flexibility in determining whether to spend time during compilation or during execution.

Abstract: Devices and systems are provided to electrically and optically detect hemodynamic properties of a body. Such devices are configured to detect electrocardiographic signals and photoplethysmographic signals and to operate a single analog-to-digital converter (ADC) to sample one or more of each of such signals. This includes operating a multiplexer to connect electrical signals related to the detected optical and electrical properties to the single ADC during respective different sampling times or periods. This can include connecting the detected electrocardiographic signals and photoplethysmographic signals to the ADC during alternating periods of time. Using a single ADC to sample one or more of each of electrocardiographic signals and photoplethysmographic signals can provide samples of such signals that have a relative timing that is known, stable, and controllable.

Abstract: Devices and systems are provided to electrically and optically detect hemodynamic properties of a body. Such devices are configured to detect electrocardiographic signals and photoplethysmographic signals and to operate a single analog-to-digital converter (ADC) to sample one or more of each of such signals. This includes operating a multiplexer to connect electrical signals related to the detected optical and electrical properties to the single ADC during respective different sampling times or periods. This can include connecting the detected electrocardiographic signals and photoplethysmographic signals to the ADC during alternating periods of time. Using a single ADC to sample one or more of each of electrocardiographic signals and photoplethysmographic signals can provide samples of such signals that have a relative timing that is known, stable, and controllable.

Abstract: An electronic device may be used to authenticate a user when accessing a remote system. In this regard, authentication information required to authorize accessing the remote system may be stored securely on a secure device, with the authentication information being configured such that it is inaccessible or unreadable while in the electronic device. The electronic device may obtain (e.g., read) the authentication information from the secure device when attempting to access the remote system. Obtaining (e.g., reading) the authentication information from the secure device may be triggered based on (i.e., in response to) a challenge by the remote system. The electronic device may then communicate the authentication information to the remote system, which may be configured to determine whether to grant or deny access to the user based on the authentication information.