Abstract: A method includes displaying, on a display, virtual acoustic instruments as being overlaid onto a pass-through of a physical environment. The method includes performing, based on respective characteristics of the virtual acoustic instruments, an acoustic simulation in order to generate estimated acoustic parameters for respective locations within the physical environment. The method includes displaying, on the display, an indication of the estimated acoustic parameters.

Abstract: A method includes measuring an environmental parameter that indicates a sensory condition at a location of an electronic device within a physical environment. The method includes determining whether the environmental parameter is within an acceptable range. The method includes, in response to determining that the environmental parameter is not within the acceptable range, triggering presentation of augmented content in order to enhance the sensory condition at the location of the electronic device.

Abstract: Apparatus and method for migrating a container including graphics processor state.

Abstract: An emotion analysis and recognition system including an automated recognition of bodily expression of emotion (ARBEE) system is described. The system may include program instructions executable by a processor to: receive a plurality of body movement models, each body movement model generated based on a crowdsourced body language dataset, calculate at least one evaluation metric for each body movement model, select a highest ranked body movement model based on the at least one metric calculated for each body movement model, combine the highest ranked body movement model with at least one other body movement model of the plurality of body movement models, calculate at least one evaluation metric for each combination of body movement models, and determine a highest ranked combination of body movement models to predict a bodily expression of emotion.

Abstract: An emotion analysis and recognition system including an automated recognition of bodily expression of emotion (ARBEE) system is described. The system may include program instructions executable by a processor to: receive a plurality of body movement models, each body movement model generated based on a crowdsourced body language dataset, calculate at least one evaluation metric for each body movement model, select a highest ranked body movement model based on the at least one metric calculated for each body movement model, combine the highest ranked body movement model with at least one other body movement model of the plurality of body movement models, calculate at least one evaluation metric for each combination of body movement models, and determine a highest ranked combination of body movement models to predict a bodily expression of emotion.

Abstract: Apparatus and method for migrating a container including graphics processor state.

Abstract: Disclosed are compounds having the formula: wherein q, r, s, A, B, C, RA1, RA2, RB1, RB2, RC1, RC2, R3, R4, R5, R6, R14, R15, R16, and R17, are as defined herein, or a tautomer thereof, or a salt, particularly a pharmaceutically acceptable salt, thereof.

Abstract: Gaze enrollment, including displaying an enrollment progress user indicator, animating movement of user interface elements, changing the appearances of user interface elements, and/or moving a user interface element over time, enable a computer system to more accurately track the gaze of a user of the computer system

Abstract: Examples described herein relate to an accelerator that includes an interface and circuitry coupled to the interface. In some examples, the circuitry is configured to access compressed data, decompress the compressed data, and output the decompressed data based on a call to an application programming interface (API). In some examples, based on a first call to the API having first values, the circuitry is to decompress at least a subset of the data and output at least one strict subset of the decompressed data. In some examples, based on a second call to the API having second values, the circuitry is to decompress an entirety of the data and output the decompressed data.

Abstract: Gaze enrollment, including displaying an enrollment progress user indicator, animating movement of user interface elements, changing the appearances of user interface elements, and/or moving a user interface element over time, enable a computer system to more accurately track the gaze of a user of the computer system.

Abstract: Apparatus and method for migrating a container including graphics processor state.

Abstract: A system includes a mobile device for capturing raw video of a subject, a preprocessing system communicatively coupled to the mobile device for splitting the raw video into an image stream and an audio stream, an image processing system communicatively coupled to the preprocessing system for processing the image stream into a spatiotemporal facial frame sequence proposal, an audio processing system for processing the audio stream into a preprocessed audio component, one or more machine learning devices that analyze the facial frame sequence proposal and the preprocessed audio component according to a trained model to determine whether the subject is exhibiting signs of a neurological condition, and a user device for receiving data corresponding to a confirmed indication of neurological condition from the one or more machine learning devices and providing the confirmed indication of neurological condition to the subject and/or a clinician via a user interface.

Abstract: A method is described. The method includes repeatedly reading accelerator telemetry data from register and/or memory space allocated for the keeping of the accelerator telemetry data and writing the accelerator telemetry data into a physical file structure within memory and/or mass storage. The method also includes repeatedly reading the accelerator telemetry data from the physical file structure and storing the accelerator telemetry data into virtual files that are visible to application software programs that invoke the accelerator. The accelerator telemetry data describes an input/output memory management unit’s performance regarding its translation of virtual addresses to physical addresses for the accelerator.

Abstract: An approach is disclosed for enabling contextually relevant conversational interaction. Environment data is received by an AI System which detects a plurality of physical objects in a physical environment and forms a contextual understanding of the plurality of physical objects and the physical environment and identifies a user relevant to the contextual understanding. A most relevant contextual information to the user is predicted by the AI system and transformed into a textual form. A set of intents and objectives is predicted by the AI system for user-centered interaction. The AI system and the user interact iteratively through the user-centered interaction to determine an understanding of a most relevant intent and a most relevant objective which is validated by the AI system with the user until the user agrees. The validated most relevant intent and the most relevant objective is utilized to facilitate the user-centered and contextually relevant conversational interaction.

Abstract: An apparatus is described. The apparatus includes a memory management unit. The memory management unit is to receive a memory access request from an accelerator, wherein the memory access request includes a virtual address of a payload provided by an application that invokes the accelerator to perform a function on the payload, wherein. The memory access request also includes an identifier of the application's CPU process. The memory management unit is to translate the virtual address to a physical address to fetch the payload from a location allocated to the application within a memory.

Abstract: An apparatus is described. The apparatus includes a plurality of processing cores and at least one accelerator within a semiconductor chip package. The accelerator is to offload at least one task from the processing cores after boot-up of the processing cores and the accelerator. The accelerator is also to perform authentication of firmware during the boot-up. The firmware is to execute on one of the at least one accelerator.

Abstract: Disclosed herein, are recombinant polypeptides comprising a first domain, wherein the first domain comprises an epitope of a coronavirus or wherein the first domain is a moiety that is capable of specifically binding a coronavirus antigen; a linker; and a second domain, wherein the second domain is a moiety that is capable of specifically binding an antigen on the surface of a red blood cell. Also, disclosed herein are methods for detecting anti-coronavirus antibodies, one or more coronavirus antigens, or one or more coronavirus virions by mixing the recombinant polypeptide with red blood cells and anti-coronavirus antibodies resulting in visible agglutination.

Abstract: A machine-readable storage medium having program code that when processed by one or more processing cores causes a method to be performed. The method includes determining from program code that is scheduled for execution and/or is being scheduled for execution that an accelerator is expected to be invoked by the program code. The program code to implement one or more application software processes. The method also includes, in response to the determining, causing the accelerator to wake up from a sleep state before the accelerator is first invoked from the program code's execution.

Abstract: A method of improving quality of crowdsourced affective data based on agreement relationship between a plurality of annotators include receiving, by a processor, a collection of stimuli previously given affective labels by the plurality of annotators, executing, by a processor, an algorithm operative to perform the steps including constructing an agreement multigraph as a probabilistic model including a pair-wise status of agreement between the affective labels given by different ones of the plurality of annotators, learning the probabilistic model computationally using the crowdsourced affective data, identifying a reliability of each of the plurality of annotators based on the learned model, and adjusting the crowdsourced affective data by calculating the affective labels of each stimuli based on the identified reliability of each of the plurality of annotators, thereby improving the quality of the crowdsourced affective data.

Abstract: An approach is disclosed that provides personalized two-way communication with a uniquely identified object and an AI agent. Information about the object in a context associated with a requestor is received to access to an object knowledge base. The information is analyzed to determine a unique reference for the object. A selected set of the received information and the object categorization may be sent to an object knowledge base populated with AI configuration parameters tied to uniquely identified objects. The object knowledge base is searched for the unique reference to determine a registration assessment. The registration assessment is one of registered and not registered. When the registration assessment is determined to be not registered, the object is added to the object knowledge base. After receiving an AI connection from the object knowledge base, the context associated with the requestor is sent to the AI connection.