Abstract: An apparatus has memory management circuitry to control access to a memory system based on access control information defined in table entries of a table structure comprising at least two levels of access control table. Table accessing circuitry accesses the table structure to obtain the access control information corresponding to a target address. For a given access control table at a given level of the table structure other than a starting level, the table accessing circuitry selects a selected table entry of the given access control table corresponding to the target address, based on an offset portion of the target address. A size of the offset portion is selected based on a variable nesting control parameter specified in a table entry of a higher-level access control table at a higher level of the table structure than the given access control table.

Abstract: In one aspect, devices for light treatment of skin are described herein. A device described herein, in some embodiments, comprises an interior compartment having a proximal end and a distal end, and an optical aperture disposed at the distal end. The device also comprises a laser or BBL source that produces a laser or BBL beam. The laser or BBL beam has a first optical path within the interior compartment, between the proximal end and the distal end. Additionally, the first optical path exits the interior compartment through the optical aperture. The device further comprises an imaging system that receives a return signal from the aperture. The return signal received from the aperture has a second path within the interior compartment. Further, a selectively reflective optical element is disposed in the first and second optical paths. The selectively reflective optical element generally transmits the laser or BBL beam.

Abstract: A cognitive radio system may include cognitive radio frequency (RF) radios and a controller configured to selectively change at least one operating parameter of the cognitive RF radios based upon a cognitive group hierarchy. The cognitive group hierarchy may include a first group based upon a signal modulation classification, a second group based upon a waveform requirement, a third group based upon an optimal cognitive RF radio path, a fourth group based upon a cognitive RF radio dynamic spectrum allocation, and a fifth group based upon frequency hopping.

Abstract: Embodiments include apparatuses, methods, and systems for a photonic device including a first optical component, a second optical component, and a third component, where the first optical component or the second optical component is a redundant component of the photonic device. When the first optical component is enabled, the first optical component is to provide a first input to the third component, or to receive a second input from the third component. Similarly, when the second optical component is enabled, the second optical component is to provide the first input to the third component, or to receive the second input from the third component. The first optical component and the second optical component are arranged to perform a same function. Only one of the first optical component or the second optical component is enabled at a time. Other embodiments may also be described and claimed.

Abstract: Embodiments herein relate to systems, apparatuses, or processes directed to a package that includes multiple PICs in the package that are optically coupled with each other. In embodiments, the package may include discrete electronic and optical components, and thermal management solutions for co-packaging of multiple PICs. Other embodiments may be described and/or claimed.

Abstract: Example techniques to enable a flip chip underfill exclusion zone include use of bump barriers, films or etched substrate cavities to prevent underfill from reaching the flip chip underfill exclusion zone.

Abstract: Technologies for adaptively embedding visual advertising content into media content include a computing device for receiving visual advertisements, an advertisement map, and media content from a remote content provider. Such technologies may also include determining a location of an advertising enabled area within an image of the media content, selecting a visual advertisement to embed within the image of the media content at the determined location of the advertising enabled area as a function of the advertisement map, and embedding the selected visual advertisement into the image of the media content at the determined location of the advertising enabled area to generate augmented media content for subsequent display to the user. In some embodiments, the advertisement map includes display conditions for each of the visual advertisements.

Abstract: Example apparatus and methods for generating context-aware artificial intelligence characters are disclosed. An example apparatus to animate an artificial intelligence character includes a data tagger to tag data in a media data stream to generate a plurality of data files of tagged data, the data files corresponding to different time periods in a storyline, the tagged data associated with a first character in the media data stream, the artificial intelligence character to portray the first character. The example apparatus includes a trainer to generate a response model of the first character based on the data file corresponding to a current data time period and one or more data files corresponding to one or more earlier time periods of the storyline and a response generator to apply the response model based on a stimulus input to animate the artificial intelligence character.

Abstract: Technologies for adaptively embedding visual advertising content into media content include a computing device for receiving visual advertisements, an advertisement map, and media content from a remote content provider. Such technologies may also include determining a location of an advertising enabled area within an image of the media content, selecting a visual advertisement to embed within the image of the media content at the determined location of the advertising enabled area as a function of the advertisement map, and embedding the selected visual advertisement into the image of the media content at the determined location of the advertising enabled area to generate augmented media content for subsequent display to the user. In some embodiments, the advertisement map includes display conditions for each of the visual advertisements.

Abstract: Embodiments include apparatuses, methods, and systems for computer assisted or autonomous driving (CA/AD). An apparatus may include a towing data collection unit to collect data about a trailer, a watercraft, or another vehicle to be towed or being towed by a CA/AD vehicle, a navigation data collection unit to collect data about an operation area, and a vehicle control unit to assess suitability of operating the CA/AD vehicle with the trailer, watercraft, or the other vehicle in tow, and to navigate the CA/AD vehicle in the operation area. Other embodiments may also be described and claimed.

Abstract: Technologies for adaptively embedding visual advertising content into media content include a computing device for receiving visual advertisements, an advertisement map, and media content from a remote content provider. Such technologies may also include determining a location of an advertising enabled area within an image of the media content, selecting a visual advertisement to embed within the image of the media content at the determined location of the advertising enabled area as a function of the advertisement map, and embedding the selected visual advertisement into the image of the media content at the determined location of the advertising enabled area to generate augmented media content for subsequent display to the user. In some embodiments, the advertisement map includes display conditions for each of the visual advertisements.

Abstract: Example apparatus and methods for generating context-aware artificial intelligence characters are disclosed. An example apparatus to animate an artificial intelligence character includes a data tagger to tag data in a media data stream to generate a plurality of data files of tagged data, the data files corresponding to different time periods in a storyline, the tagged data associated with a first character in the media data stream, the artificial intelligence character to portray the first character. The example apparatus includes a trainer to generate a response model of the first character based on the data file corresponding to a current data time period and one or more data files corresponding to one or more earlier time periods of the storyline and a response generator to apply the response model based on a stimulus input to animate the artificial intelligence character.

Abstract: Embodiments include apparatuses, methods, and systems for computer assisted or autonomous driving (CA/AD). An apparatus may include a trailer data collection unit and an automation level determination unit coupled with the trailer data collection unit. The trailer data collection unit may collect, from a trailer coupled with a CA/AD towing vehicle, trailer configuration data, including sensor configuration data for sensors disposed on the trailer. The automation level determination unit may determine a combined level of driving automation for the CA/AD towing vehicle and the trailer, based at least in part on the trailer configuration data, wherein the CA/AD towing vehicle alone has an initial level of driving automation. An apparatus for CA/AD may include a sensor configuration unit, a trailer configuration unit, and a communication interface coupled with the sensor configuration unit and the trailer configuration unit. Other embodiments may also be described and claimed.

Abstract: Example apparatus and methods for generating context-aware artificial intelligence characters are disclosed. An example apparatus to animate an artificial intelligence character includes a data tagger to tag data in a media data stream to generate a plurality of data files of tagged data, the data files corresponding to different time periods in a storyline, the tagged data associated with a first character in the media data stream, the artificial intelligence character to portray the first character. The example apparatus includes a trainer to generate a response model of the first character based on the data file corresponding to a current data time period and one or more data files corresponding to one or more earlier time periods of the storyline and a response generator to apply the response model based on a stimulus input to animate the artificial intelligence character.

Abstract: Embodiments of systems, apparatuses, and/or methods are disclosed for automatic speech imitation. An apparatus may include a machine learner to perform an analysis of tagged data that is to be generated based on a speech pattern and/or a speech context behavior in media content. The machine learner may further generate, based on the analysis, a trained speech model that is to be applied to the media content to transform speech data to mimic data. The apparatus may further include a data analyzer to perform an analysis of the speech pattern, the speech context behavior, and/or the tagged data. The data analyzer may further generate, based on the analysis, a programmed speech rule that is to be applied to transform the speech data to the mimic data.

Abstract: Technologies for adaptively embedding visual advertising content into media content include a computing device for receiving visual advertisements, an advertisement map, and media content from a remote content provider. Such technologies may also include determining a location of an advertising enabled area within an image of the media content, selecting a visual advertisement to embed within the image of the media content at the determined location of the advertising enabled area as a function of the advertisement map, and embedding the selected visual advertisement into the image of the media content at the determined location of the advertising enabled area to generate augmented media content for subsequent display to the user. In some embodiments, the advertisement map includes display conditions for each of the visual advertisements.

Abstract: Technologies for adaptively embedding visual advertising content into media content include a computing device for receiving visual advertisements, an advertisement map, and media content from a remote content provider. Such technologies may also include determining a location of an advertising enabled area within an image of the media content, selecting a visual advertisement to embed within the image of the media content at the determined location of the advertising enabled area as a function of the advertisement map, and embedding the selected visual advertisement into the image of the media content at the determined location of the advertising enabled area to generate augmented media content for subsequent display to the user. In some embodiments, the advertisement map includes display conditions for each of the visual advertisements.

Abstract: Embodiments include apparatuses, methods, and systems for a photonic device including a first optical component, a second optical component, and a third component, where the first optical component or the second optical component is a redundant component of the photonic device. When the first optical component is enabled, the first optical component is to provide a first input to the third component, or to receive a second input from the third component. Similarly, when the second optical component is enabled, the second optical component is to provide the first input to the third component, or to receive the second input from the third component. The first optical component and the second optical component are arranged to perform a same function. Only one of the first optical component or the second optical component is enabled at a time. Other embodiments may also be described and claimed.

Abstract: Embodiments include apparatuses, methods, and systems for computer assisted or autonomous driving (CA/AD). An apparatus may include a towing data collection unit to collect data about a trailer, a watercraft, or another vehicle to be towed or being towed by a CA/AD vehicle, a navigation data collection unit to collect data about an operation area, and a vehicle control unit to assess suitability of operating the CA/AD vehicle with the trailer, watercraft, or the other vehicle in tow, and to navigate the CA/AD vehicle in the operation area. Other embodiments may also be described and claimed.