Abstract: The disclosure relates to compositions and methods for treating cancer using cold atmospheric plasma-modified extracellular vesicles generated using a CAP jet device.

Abstract: A computer-implemented method for producing real-time media content customized for a travel event in a dynamic travel route between an origin and a destination of a connected vehicle. The method includes maintaining media production data, receiving information on a travel event including route information, producing media content based on the travel event and travel route information, and streaming the media content to connected cars and servers along the travel route.

Abstract: A client device that is not originally compliant with a particular security standard (e.g., FIPS) is brought into compliance through the addition of a standard-compliant software-based cryptographic library. In order to adapt the cryptographic library to integrate with the hardware-backed keystore, a non-hardware-backed software keystore is used to store keys used by the cryptographic library. Additionally, in order to provide appropriate security for the software keystore, the software keystore (and/or the keypairs within the software keystore) is protected by a password, and the password is in turn protected by the hardware-backed keystore. Thus, to obtain the password needed to obtain a keypair from the software keystore that is in turn needed to use the cryptographic library, a user must authenticate with the operating system, e.g., by providing biometric credentials.

Abstract: An approach is disclosed herein a sequence generation ecosystem using machine learning. The approach disclosed herein is a new approach to sequence generation in the context of validation that relies on machine learning to explore and identify ways to achieve different states. In particular, the approach divides the valid operations into different respective actions and action sequences. These actions are selected by machine learning models as they are being trained using online inference reinforcement learning. This online inference also is likely to result in the discovery of new states. Each state that has been identified is then used as a target to train a respective machine learning model. As part of this process a representation of all the states and actions or sequences of actions executed to reach those states is created. This representation, the respective machine learning models, or a combination thereof can then be used to generate different test sequences.

Abstract: Provided is a system for controlling digital cinematic content based on emotional state of characters. A focus on one or more computer-controlled characters appearing in digital cinematic content is determined based on emotion indicators of a first user actively interacting with at least the one or more computer-controlled characters. A set of emotion indicators is inferred for each of the one or more computer-controlled characters based on one or more criteria and multifactor feedback loops are created. A story line of the digital cinematic content and behavioural characteristics of the one or more computer-controlled characters are controlled to achieve a target emotional arc of the first user based on the multifactor feedback loops.

Abstract: A computer-implemented method for producing real-time media content customized for a travel event in a dynamic travel route between an origin and a destination of a connected vehicle. The method includes maintaining media production data, receiving information on a travel event including route information, producing media content based on the travel event and travel route information, and streaming the media content to connected cars and servers along the travel route.

Abstract: A method for converting a source video content constrained to a first color space to a video content constrained to a second color space using an artificial intelligence machine-learning algorithm based on a creative profile.

Abstract: In order to avoid various jamming attacks from intelligent jammers in modern complex wireless environments, a system and method is presented for a user radio to generate and implement an adaptive anti-jamming communication strategy. The said adaptive anti-jamming communication strategy is obtained via the training process for a specific neural network using Deep Double-Q Reinforcement learning algorithm in the strategy generation phase. The objective of this process is to discover a strategy to select the optimal radio action including transmission channel and transmission power for the user radio, which is changed adaptively to different jamming patterns to maximize the successful transmission rate (“jamming-free”) while retaining the power consumption of user radio as low as possible.

Abstract: An approach is disclosed herein to sequence selection in a UVM environment. Generally, this approach includes a training phase for each machine learning model of a plurality of machine learning models. Each model is trained to achieve a particular target state and is rewarded when a selected action or sequence of actions causes movement that might be beneficial to achieving that target state. Once a respective model is trained, the trained model can then be used to determine which one action or sequence of actions (or ordered multiple thereof) to take to achieve the corresponding target state. Thus, by training and using a plurality of machine learning models to achieve a plurality of target states, and stimulating those machine learning models once trained, one or more actions and/or sequences of actions are generated as the selected sequences to be used to verify functionality or operation of a design under test.

Abstract: Apparatus, systems, and methods according to which simulated pulmonary procedure(s) may be performed.

Abstract: A method for converting a source video content constrained to a first color space to a video content constrained to a second color space using an artificial intelligence machine-learning algorithm based on a creative profile.

Abstract: Methods and apparatus for personalizing a vehicle with a sensory output device include receiving, by one or more processors, a signal indicating an identity or passenger profile of a detected passenger in or boarding the vehicle, accessing preference data and geographic location data for the passenger, and selecting sensory content for delivery to the passenger in the vehicle based on the preference data and geographic location data. Methods and apparatus for producing video customized for a preference profile of a person or cohort include associating each of the stored video clips with a set of characteristic parameters relating to user-perceivable characteristics, receiving user profile data relating to the person or cohort, selecting video clips from the data structure based at least partly on the user profile data, and automatically producing a video including the preferred video clips.

Abstract: An approach is disclosed herein for test sequence processing that is applicable to machine learning model generated test sequences as disclosed herein. The test sequence processing includes classification, grouping, and filtering. The classification is generated based on the execution of the test sequences. The grouping is performed based on information captured during the classification of the test sequences. The filtering is performed on a group by group basis to remove redundant test sequences.

Abstract: Apparatus, systems, and methods according to which simulated urinary procedure(s) may be performed.

Abstract: The approach disclosed herein is a new approach to sequence generation in the context of validation that relies on machine learning to explore and identify ways to achieve different states. In particular, the approach uses machine learning models to identify different states and ways to transition from one state to another. Actions are selected by machine learning models as they are being trained using reinforcement learning. This online inference also is likely to result in the discovery of not yet discovered states. Each state that has been identified is then used as a target to train a respective machine learning model. As part of this process a representation of all the states and actions or sequences of actions executed to reach those states is created. This representation, the respective machine learning models, or a combination thereof can then be used to generate different test sequences.

Abstract: Methods and apparatus for personalizing a vehicle with a sensory output device include receiving, by one or more processors, a signal indicating an identity or passenger profile of a detected passenger in or boarding the vehicle, accessing preference data and geographic location data for the passenger, and selecting sensory content for delivery to the passenger in the vehicle based on the preference data and geographic location data. Methods and apparatus for producing video customized for a preference profile of a person or cohort include associating each of stored video clips with a set of characteristic parameters relating to user-perceivable characteristics, receiving user profile data relating to the person or cohort, selecting video clips from the data structure based at least partly on the user profile data, and automatically producing a video including the preferred video clips.

Abstract: Methods and apparatus for generating and configuring video content for surround screens include repurposing archive content and producing new content. Applications for the method include surround projection systems in cinemas, autonomous vehicles, home theaters, clubs, shops or other spaces for displaying content; and surround content for use with virtual reality headgear.

Abstract: A computer-implemented method for providing electronics games for play by a group of users in two or more moving vehicles. The method includes maintaining data structures of media program data, user profile data and vehicle profile data, receiving user and vehicle state information, identifying a group of users based on contemporaneous presence in two or more vehicles or common participation in a game or other group experience for related trips at different times, and selecting, configuring or creating media program for play at media players. An apparatus or system is configured to perform the method, and related operations.

Abstract: A flexible delivery catheter comprising an outer jacket with a first portion and a second portion, a coil layer, and a coupler. The first portion and second portion of the outer jacket have a first inner diameter and a second inner diameter where the second inner diameter is greater than the first inner diameter. The change in diameter from the first inner diameter to the second inner diameter creates a shoulder. The coupler is coupled to the distal end of the outer jacket such that a cavity is formed by the coupler, the second portion of the outer jacket, and the shoulder of the outer jacket. A coil layer or hypotube is disposed within the cavity.

Abstract: A gesture-recognition (GR) device made to be held or worn by a user includes an electronic processor configured by program instructions in memory to recognize a gesture. The device or a cooperating system may match a gesture identifier to an action identifier for one or more target devices in a user's environment, enabling control of the target devices by user movement of the GR device in three-dimensional space.