Abstract: Systems and methods for dynamic content placement based on pixel count confidences in pre-existing content. For example, the system may receive a first media asset. The system may determine a first pixel count requirement for the first media asset, wherein the first pixel count requirement indicates a required number of pixels appearing in objects for incorporating the first media asset. The system may identify a first object in a second media asset. The system may determine, using an artificial intelligence model, a first pixel count confidence that the first object meets the first pixel count requirement. The system may, in response to determining that the first pixel count confidence corresponds to the threshold pixel count confidence, generate for display, in a user interface, the first media asset at the first object while the second media asset is presented.

Abstract: Systems and methods for dynamic content placement based on pixel count confidences in pre-existing content. For example, the system may receive a first media asset. The system may determine a first pixel count requirement for the first media asset, wherein the first pixel count requirement indicates a required number of pixels appearing in objects for incorporating the first media asset. The system may identify a first object in a second media asset. The system may determine, using an artificial intelligence model, a first pixel count confidence that the first object meets the first pixel count requirement. The system may, in response to determining that the first pixel count confidence corresponds to the threshold pixel count confidence, generate for display, in a user interface, the first media asset at the first object while the second media asset is presented.

Abstract: The disclosure teaches antibodies that are useful, inter alia, in methods for detecting and treating human cancer. In a particular aspect, the disclosure teaches novel antibodies that are useful for detecting and treating human breast cancer. In some embodiments, the disclosure teaches novel antibodies that bind to filamin A. In some embodiments, the antibodies are intrabodies.

Abstract: Methods and systems are disclosed herein to address the problems discussed above and in particular to provide coordination for uncoordinated content. Beyond simply archiving and/or organizing available content, the methods and systems generate composite media assets that provide enriched details and supplemental data that extends beyond any given source content. The methods and systems achieve this through a novel data filtration and synchronization process.

Abstract: Methods and systems are disclosed herein to address the problems discussed above and in particular to provide coordination for uncoordinated content. Beyond simply archiving and/or organizing available content, the methods and systems generate composite media assets that provide enriched details and supplemental data that extends beyond any given source content. The methods and systems achieve this through a novel data filtration and synchronization process.

Abstract: Methods and systems are described herein for interacting with and enabling access to novel types of content through the rapid content switching in media assets featuring multiple content streams. For example, in media assets featuring multiple content streams, each content stream may represent an independent view of a scene in a media asset. During playback of the media asset, a user may only view content from only one of the multiple content streams. The user may then switch between the different content streams to view different angles, instances, versions, etc. of the scene.

Abstract: The disclosure teaches antibodies that are useful, inter alia, in methods for detecting and treating human cancer. In a particular aspect, the disclosure teaches novel antibodies that are useful for detecting and treating human breast cancer. In some embodiments, the disclosure teaches novel antibodies that bind to filamin A. In some embodiments, the antibodies are intrabodies.

Abstract: Systems and methods for dynamic content placement based on pixel count confidences in pre-existing content. For example, the system may receive a first media asset. The system may determine a first pixel count requirement for the first media asset, wherein the first pixel count requirement indicates a required number of pixels appearing in objects for incorporating the first media asset. The system may identify a first object in a second media asset. The system may determine, using an artificial intelligence model, a first pixel count confidence that the first object meets the first pixel count requirement. The system may, in response to determining that the first pixel count confidence corresponds to the threshold pixel count confidence, generate for display, in a user interface, the first media asset at the first object while the second media asset is presented.

Abstract: Methods and systems are disclosed herein to address the problems discussed above and in particular to provide coordination for uncoordinated content. Beyond simply archiving and/or organizing available content, the methods and systems generate composite media assets that provide enriched details and supplemental data that extends beyond any given source content. The methods and systems achieve this through a novel data filtration and synchronization process.

Abstract: Methods and systems are disclosed herein to address the problems discussed above and in particular to provide coordination for uncoordinated content. Beyond simply archiving and/or organizing available content, the methods and systems generate composite media assets that provide enriched details and supplemental data that extends beyond any given source content. The methods and systems achieve this through a novel data filtration and synchronization process.

Abstract: A system and method for forecasting perceived transitions to the four annual seasons in geographic areas is disclosed. The perceived transitions are identified by comparing forecasted daily temperatures in each geographic area to thresholds generated based on normal daily temperatures in those geographic areas. The forecasted daily temperatures may be calculated using both forecasted temperatures and forecasted perceived ambient temperatures (calculated using both temperature and humidity, cloud cover, sun intensity, and/or wind speed).

Abstract: Methods and systems are disclosed herein to address the problems discussed above and in particular to provide coordination for uncoordinated content. Beyond simply archiving and/or organizing available content, the methods and systems generate composite media assets that provide enriched details and supplemental data that extends beyond any given source content. The methods and systems achieve this through a novel data filtration and synchronization process.

Abstract: In some embodiments, affective-state-based artificial intelligence may be facilitated. One or more growth or decay factors for a set of affective attributes of an artificial intelligence entity may be determined, and a set of affective values, which are associated with the set of affective attributes, may be continuously updated based on the growth or decay factors. An input may be obtained, and a response related to the input may be generated based on the continuously-updated set of affective values of the artificial intelligence entity. In some embodiments, the growth or decay factors may be updated based on the input and subsequent to the updating of the decay factors, the affective values may be updated based on the updated growth or decay factors.

Abstract: In some embodiments, affective-state-based artificial intelligence may be facilitated. One or more growth or decay factors for a set of affective attributes of an artificial intelligence entity may be determined, and a set of affective values, which are associated with the set of affective attributes, may be continuously updated based on the growth or decay factors. An input may be obtained, and a response related to the input may be generated based on the continuously-updated set of affective values of the artificial intelligence entity. In some embodiments, the growth or decay factors may be updated based on the input and subsequent to the updating of the decay factors, the affective values may be updated based on the updated growth or decay factors.

Abstract: Methods and systems are disclosed for an improved control system in autonomous and semi-autonomous vehicles. More specifically, the methods and systems relate to powering control systems of autonomous and semi-autonomous vehicles through the use of computer vision based on delta images (i.e., delta-vision).

Abstract: A system and method for forecasting perceived transitions to the four annual seasons in geographic areas is disclosed. The perceived transitions are identified by comparing forecasted daily temperatures in each geographic area to thresholds generated based on normal daily temperatures in those geographic areas. The forecasted daily temperatures may be calculated using both forecasted temperatures and forecasted perceived ambient temperatures (calculated using both temperature and humidity, cloud cover, sun intensity, and/or wind speed).

Abstract: The disclosure teaches antibodies that are useful, inter alia, in methods for detecting and treating human cancer. In a particular aspect, the disclosure teaches novel antibodies that are useful for detecting and treating human breast cancer. In some embodiments, the disclosure teaches novel antibodies that bind to filamin A. In some embodiments, the antibodies are intrabodies.

Abstract: A method and a system are disclosed including multiple Image Acquisition Devices (IAD), such as cameras, simultaneously, consecutively, or independently filming a scene, each IAD having a known position with respect to each of the other IADs. Each image data stream obtained from each IAD may be uniquely identified, by the position of the IAD or by a unique identifier, to allow selective real-time display and/or playback of each individual image data stream under the control of a user. Depending on the position of an IAD, the image data stream collected by the IAD represents a corresponding viewing angle to the user. Thus, the user may dynamically select a different viewing angle for the same scene by selecting a corresponding image stream during real-time viewing and/or playback. In various embodiments, multiple image streams of the same scene may be selected and viewed simultaneously to provide a 3-Dimensional effect or other visual effects.

Abstract: Methods and systems are disclosed for an improved control system in autonomous and semi-autonomous vehicles. More specifically, the methods and systems relate to powering control systems of autonomous and semi-autonomous vehicles through the use of computer vision based on delta images (i.e., delta-vision).

Abstract: In some embodiments, affective-state-based artificial intelligence may be facilitated. One or more growth or decay factors for a set of affective attributes of an artificial intelligence entity may be determined, and a set of affective values, which are associated with the set of affective attributes, may be continuously updated based on the growth or decay factors. An input may be obtained, and a response related to the input may be generated based on the continuously-updated set of affective values of the artificial intelligence entity. In some embodiments, the growth or decay factors may be updated based on the input and subsequent to the updating of the decay factors, the affective values may be updated based on the updated growth or decay factors.