Abstract: Examples include a system comprising a non-volatile memory to store a machine-learning data structure. Examples access the machine-learning data structure with a first processing resource, and examples access the machine-learning data structure with a second processing resource, which includes at least one graphics processing core, such that the machine-learning data structure is a shared memory space of the first processing resource and the second processing resource.

Abstract: Examples disclosed herein relate to receiving a query via a chat interaction, translating the received query into one of a set of predefined commands according to a trained machine-learning model, and providing a result of the one of the set of predefined commands to the chat interaction.

Abstract: Examples disclosed herein relate to receiving a query via a chat interaction, translating the received query into one of a set of predefined commands according to a trained machine-learning model, and providing a result of the one of the set of predefined commands to the chat interaction.

Abstract: A method of forming a multi-layered printed circuit board (PCB) may include, with a printing device, delivering a flexible medium to at least one fluid jet printhead. Printing an electrically conductive fluid on the flexible medium may be performed with at least one fluid jet printhead, to form a first conductive layer on the flexible medium. With the at least one fluid jet printhead, an electrically insulating fluid may be printed on the first conductive layer to form at least one insulating layer on the first conductive layer. With the at least one fluid jet printhead, the electrically conductive fluid may be printed on the at least one insulating layer to form a second conductive layer.

Abstract: A method of installing a software package may include storing a software package coupon on a proximity tag coupled to a computing device; accessing the software package coupon and installing an operating system OS agent during an initial booting of the computing device; and with the OS agent, downloading and installing the software package.

Abstract: In some examples, a computing device can identify, by a processing resource of the computing device, an operating system (OS) uniform resource locator (URL) from a radio-frequency identification (RFID) chip coupled to the processing resource in response to the computing device being powered on, download from an OS repository an OS descriptor using the OS URL from the RFID chip and an OS image using the OS descriptor, and install an OS to a hard disk of the computing device using the OS image downloaded from the OS repository.

Abstract: A method of providing feedback to a presenter in a remote meeting includes capturing images of remote participants in the remote meeting using cameras associated with computing devices that display content presented by the presenter. Eye gaze angle information for at least one of the remote participants is determined based on the captured images. At least one region of interest in the displayed content is identified based on the eye gaze angle information. Feedback is provided to the presenter including an indication of the identified at least one region of interest.

Abstract: In some examples, a computing device can identify, by a processing resource of the computing device, an operating system (OS) uniform resource locator (URL) from a radio-frequency identification (RFID) chip coupled to the processing resource in response to the computing device being powered on, download from an OS repository an OS descriptor using the OS URL from the RFID chip and an OS image using the OS descriptor, and install an OS to a hard disk of the computing device using the OS image downloaded from the OS repository.

Abstract: Examples include a system comprising a non-volatile memory to store a machine-learning data structure. Examples access the machine-learning data structure with a first processing resource, and examples access the machine-learning data structure with a second processing resource, which includes at least one graphics processing core, such that the machine-learning data structure is a shared memory space of the first processing resource and the second processing resource.