Abstract: A system that allocates resources of a processor in a vehicle to perform operations of a task based on vehicle mode of operation and quality of service (QoS) for the task. In some examples, the resources comprise one or more of: register allocation, cache allocation, number of allocated processor cores, memory allocation, memory bandwidth, or processor operating frequency.

Abstract: Various examples relate to apparatuses, devices, methods, non-transitory computer-readable media and computer system for a first and a second virtual machine. A non-transitory computer-readable medium storing instructions that, when executed by one or more processing circuitries, cause the one or more processing circuitries to perform a method for a first virtual machine, with the method comprising executing an application, providing a virtual screen for a graphics output of the application, providing the graphics output provided to the virtual screen to a second virtual machine via an inter-virtual machine shared memory mechanism.

Abstract: A remote (e.g., cloud, edge-cloud) computing environment may be improved by configuring a client device to function as an extension of the cloud computing environment, such as by coordinating the execution and processing of data on the client device. Secure content or privacy-sensitive content is protected confidentially while in a cloud computing environment or client device, and may be moved to a client device and decrypted to a client local container for various user productivity processing workloads, thereby reducing or eliminating privacy concerns. This solution also provides improved security for sharing and usage of pre-trained AI models on a client device, such as by extending attestation and provisioning capabilities from cloud computing environment into clients, and by leveraging cloud computing technology on clients that protects cloud assets. This provides an improved ability to protect trained AI models and avoid exposing an AI model training process on a client device.

Abstract: A method of an aspect includes receiving an indication of an attempt by a virtual machine to modify a paging structure identification storage location to have a given value. It is determined that the given value matches at least one of a set of one or more blacklist values. The attempt by the virtual machine to modify the paging structure identification storage location to have the given value is trapped to a virtual machine monitor. Other methods, apparatus, and systems are also disclosed.

Abstract: Methods and apparatus are disclosed to capture error conditions in lightweight virtual machine managers. A disclosed example method includes defining a shared memory structure between the VMM and a virtual machine (VM), when the VM is spawned by the VMM, installing an abort handler on the VM associated with a vector value, in response to detecting an error, transferring VMM state information to the shared memory structure, and invoking the abort handler on the VM to transfer contents of the shared memory structure to a non-volatile memory.

Abstract: A method of an aspect includes receiving an indication of an attempt by a virtual machine to modify a paging structure identification storage location to have a given value. It is determined that the given value matches at least one of a set of one or more blacklist values. The attempt by the virtual machine to modify the paging structure identification storage location to have the given value is trapped to a virtual machine monitor. Other methods, apparatus, and systems are also disclosed.

Abstract: A method of an aspect includes receiving an indication of an attempt by a virtual machine to modify a paging structure identification storage location to have a given value. It is determined that the given value matches at least one of a set of one or more blacklist values. The attempt by the virtual machine to modify the paging structure identification storage location to have the given value is trapped to a virtual machine monitor. Other methods, apparatus, and systems are also disclosed.

Abstract: Methods and apparatus are disclosed to capture error conditions in lightweight virtual machine managers. A disclosed example method includes defining a shared memory structure between the VMM and a virtual machine (VM), when the VM is spawned by the VMM, installing an abort handler on the VM associated with a vector value, in response to detecting an error, transferring VMM state information to the shared memory structure, and invoking the abort handler on the VM to transfer contents of the shared memory structure to a non-volatile memory.

Abstract: Interactive language learning techniques may be described. An apparatus may comprise a remote control receiver to receive user commands, a receiver to receive voice information, and a virtual language tutor module. The virtual language tutor module may have a user interface module and a speech evaluation engine. The user interface module may respond to user commands to control the virtual language tutor module. The speech evaluation engine may analyze a speech characteristic of the voice information and provide feedback information for the speech characteristic. Other embodiments are described and claimed.