Abstract: The present disclosure provides an application development platform and associated software development kits (“SDKs”) that provide comprehensive services for generation, deployment, and management of machine-learned models used by computer applications such as, for example, mobile applications executed by a mobile computing device. In particular, the application development platform and SDKs can provide or otherwise leverage a unified, cross-platform application programming interface (“API”) that enables access to all of the different machine learning services needed for full machine learning functionality within the application. In such fashion, developers can have access to a single SDK for all machine learning services.

Abstract: The present disclosure provides an application development platform and associated software development kits (“SDKs”) that provide comprehensive services for generation, deployment, and management of machine-learned models used by computer applications such as, for example, mobile applications executed by a mobile computing device. In particular, the application development platform and SDKs can provide or otherwise leverage a unified, cross-platform application programming interface (“API”) that enables access to all of the different machine learning services needed for full machine learning functionality within the application. In such fashion, developers can have access to a single SDK for all machine learning services.

Abstract: The present disclosure provides an application development platform and associated software development kits (“SD-Ks”) that provide comprehensive services for generation, deployment, and management of machine-learned models used by computer applications such as, for example, mobile applications executed by a mobile computing device. In particular, the application development platform and SDKs can provide or otherwise leverage a unified, cross-platform application programming interface (“API”) that enables access to all of the different machine learning services needed for full machine learning functionality within the application. In such fashion, developers can have access to a single SDK for all machine learning services.

Abstract: An electronic apparatus and a booting method of the same are provided. The booting method of the electronic apparatus, including a non-volatile first storage unit storing a device initialization file and a device execution file, and a volatile second storage unit, includes: loading the device execution file from the first storage unit into the second storage unit at an initial booting; generating reference information about the loaded device execution file; maintaining power supplied to the second storage unit when the electronic apparatus is turned off; loading and executing the device initialization file from the first storage unit into the second storage unit at a rebooting; and executing the device execution file stored in the second storage unit with reference to the reference information.

Abstract: An electronic apparatus and a booting method of the same are provided. The booting method of the electronic apparatus, including a non-volatile first storage unit storing a device initialization file and a device execution file, and a volatile second storage unit, includes: loading the device execution file from the first storage unit into the second storage unit at an initial booting; generating reference information about the loaded device execution file; maintaining power supplied to the second storage unit when the electronic apparatus is turned off; loading and executing the device initialization file from the first storage unit into the second storage unit at a rebooting; and executing the device execution file stored in the second storage unit with reference to the reference information.