Abstract: The subject technology receives, at a client device, a selection of a selectable graphical item from a plurality of selectable graphical items, the selectable graphical item comprising an augmented reality content generator including a 3D effect. The subject technology applies, to image data and depth data, the 3D effect based at least in part on the augmented reality content generator, the applying the 3D effect. The subject technology generates a depth map using at least the depth data, generates a segmentation mask based at least on the image data, and performs background inpainting and blurring of the image data using at least the segmentation mask to generate background inpainted image data. The subject technology generates a 3D message based at least in part on the applied 3D effect.

Abstract: The present disclosure relates to an array-based assay for transposase-accessible chromatin and prognostic molecular markers of treatment-resistant/early recurrent cancer.

Abstract: A disclosed method of managing a muti-tenant RIC platform may include (i) receiving a request to create muti-tenant resources for a first vendor and a second vendor on a RIC platform, (ii) generating a first private network with a first dedicated network controller associated with the first vendor based on the request to create the muti-tenant resources, (iii) generating a second private network with a second dedicated network controller associated with the second vendor based on the request to create the muti-tenant resources, (iv) assigning dedicated network resources to the first private network or second private network based on the request to create the multi-tenant resources, and (v) managing first data associated with the first vendor using the first dedicated network controller and second data associated with the second vendor using the second dedicated network controller. Related systems and computer-readable mediums are further disclosed.

Abstract: A method for creating and deploying plugins for use with one or more web-hosted large language model applications includes: displaying a user interface comprising a code template for creation of a plugin, wherein the code template comprises a context template, a native function template, and a semantic prompt template; receiving modifications to the code template via the user interface to form a modified code template, the modified code template comprising: custom context based on the context template; custom native code comprising one or more computer executable functions based on the native function template; and a custom prompt configured to prompt a large language model based on the semantic prompt template; generating a plugin based on the modified code template; and storing the plugin within a database of a plugin registry.

Abstract: A multi-agent computerized simulation system for training a user to operate a vehicle comprises an interactive computerized simulation station having tangible instrumentation enabling the user to control a simulated vehicle in a multi-agent simulation, a memory storing simulation data for the multi-agent simulation, and a processor configured to execute the multi-agent simulation. The simulation provides a simulated traffic controller having a traffic controller artificial intelligence that interacts verbally with the user to coordinate movement of the simulated vehicle. The simulation also provides one or more simulated external vehicles that simulate one or more external vehicles whose movement is scripted deterministically in the simulation. Alternatively, each simulated external vehicle is operated by an autonomous agent having AI controlling the simulated external vehicle by making observations and decisions and by reacting to verbal instructions received by the simulated traffic controller.

Abstract: Systems and methods for responsible artificial intelligence (AI) may provide an end-to-end framework from defining what responsible behavior and guidance are to the components that developers can leverage to detect and measure bias. API components may be provided at the model training and deployment stage to mitigate bias. Deployed components may then be linked to fairness monitoring APIs in a machine learning operations framework to integrated in the enterprise.

Abstract: A headgear includes a shell including a shell exterior and a shell interior; a visor connected to the shell; an electroencephalogram (EEG) sensor in the shell interior that generates a first signal indicative of state of a brain of a rider; a photoplethysmogram (PPG) sensor in the shell interior that generates a second signal indicative of blood flow rate in the rider's brain; an image sensor disposed in the shell interior that captures an image of the rider and generate image data; and a processor that: receives the first signal from the EEG sensor; receives the second signal from the PPG sensor; receives the image data from the image sensor; determines an attention score of the rider based on the first signal, the second signal, and the image data; and generates an alert signal when the attention score is below a pre-defined threshold value.

Abstract: It is provided a method of video coding implemented in a decoding device or an encoding device, the method comprising: obtaining initial motion vectors for a current block; obtaining first predictions for a sample value in the current block based on the initial motion vectors; calculating a first matching cost according to the first predictions; determining whether an optical flow refinement process should be performed or not, according to at least one preset condition, the at least one preset condition comprising a condition of whether the calculated first matching cost is equal to or larger than a threshold value; and performing an optical flow refinement process for obtaining a final inter prediction for the sample value in the current block, when it is determined that the optical flow refinement process should be performed.

Abstract: An example method includes for each training iteration in a series of training iterations: receiving, for a first set of unlabeled metrics data, a set of respective labels associated with an account in a set of accounts. The first set of unlabeled metrics data and a second set of unlabeled metrics data can be processed to generate network inputs representing a respective account in the set of accounts. The network inputs can be processed using a teacher neural network that generates an anomaly prediction output for each network input. A student neural network can be trained to optimize a loss function, which can include minimizing a loss term measuring a difference between the anomaly prediction output and the student network's proposed anomaly prediction output and minimizing a loss term measuring a difference between the proposed anomaly prediction output and the account's associated label.

Abstract: An electronic device and method for tailgating detection is provided. The electronic device receives data from an access control system for a physical entry point. When an event that indicates an access grant is detected, entry information for a period is collected. The information includes a set of authentications provided by the access control system. The electronic device receives a video from at least one imaging device, extracts object detection information from the video, and determines cost information based on a comparison of a time of each entry and a time of each authentication. Thereafter, the electronic device determines a correspondence between a subset of the entries and the authentications based on the cost information. The electronic device detects, from entries included in the object detection information, one or more entries that are different from the subset as tailgating entries. An output device renders tailgating information based on such entries.

Abstract: Systems, apparatuses, and methods may provide for technology that groups a plurality of wordline drivers together and supports these grouped wordline drivers via a shared multiplexer, a shared level shifter, and/or one or more shared multi-well level shifters. In one example, such technology includes a shared multiplexer and a first and second grouped global wordline driver coupled to the shared multiplexer. The shared multiplexer is to access data state information from a plurality of memory cells. The first grouped global wordline driver is to output a first plurality of wordlines associated with a first plane. The second grouped global wordline driver is to output a second plurality of wordlines associated with a second plane, where the second plane is different than the first plane.

Abstract: To realistically animate a String (such as a sentence) a hierarchical search algorithm is provided to search for stored examples (Animation Snippets) of sub-strings of the String, in decreasing order of sub-string length, and concatenate retrieved sub-strings to complete the String of speech animation. In one embodiment, real-time generation of speech animation uses model visemes to predict the animation sequences at onsets of visemes and a look-up table based (data-driven) algorithm to predict the dynamics at transitions of visemes. Specifically posed Model Visemes may be blended with speech animation generated using another method at corresponding time points in the animation when the visemes are to be expressed. An Output Weighting Function is used to map Speech input and Expression input into Muscle-Based Descriptor weightings.

Abstract: A composition includes a 1,8-naphthalimide fluorophore, a spacer bound to the 1,8-naphthalimide fluorophore and a thiazole-based receptor having an unsaturated heterocycle ring bound to the spacer. The composition may be employed as a chemosensor configured to capture an ion in a fluid medium. The chemosensor may further be incorporated into a sensing device configured to detect the ion and calculate a concentration of the ion in the fluid medium.

Abstract: Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.

Abstract: An image generation apparatus acquires text information and a prompt, the prompt being an instruction to output metadata that includes a plurality of attribute values composed of attribute values that respectively correspond to a plurality of attributes and semantically match the text information, derives metadata corresponding to the text information by inputting the text information and the prompt to a language model, generates an image based on the derived metadata.

Abstract: Systems and methods for generating transcriptions of audio data for presentation at a client device are provided. One or more audio streams, provided by one or more audio sources of one or more client devices of a plurality of users, are received by a broadcasting system. Sensory modality information comprising one or more of auditory, visual, or haptic characteristics of a first user is determined. First audio data from the one or more audio streams corresponding to the first user and additional audio data from the one or more audio streams corresponding to other users are determined using one or more machine learning models. At least one of a first transcription of the first audio data or one or more additional transcription of one or more of the additional audio data are provided for presentation at a first client device according to the auditory, visual, or haptic characteristics.

Abstract: A disclosed method of using a RAN intelligent controller (RIC) platform extension may include (i) receiving a network function from a RIC platform, the network function including an intent, (ii) determining the intent of the network function, (iii) generating a response to the network function based on the intent, wherein the response to the network function includes configuration data for one or more network vendor services, (iv) determining one or more parameters for the one or more network vendor services using network function adapters, and (v) sending the configuration data to the one or more network vendor services using the one or more determined parameters. Related systems and computer-readable mediums are further disclosed.

Abstract: A wearable device for emergency event evacuation and rescue is described herein. The wearable device can include a memory, and a processor configured to execute instructions stored in the memory to receive, while the wearable device is being worn by an occupant of a facility, a notification of an emergency event occurring in the facility, and transmit, responsive to receiving the notification of the emergency event occurring in the facility, a current location of the occupant in the facility and current health data of the occupant of the facility.

Abstract: IC devices with angled transistors, and related assemblies and methods, are disclosed herein. A transistor is referred to as “angled” if a longitudinal axis of an elongated semiconductor structure (e.g., a fin or a nanoribbon) based on which the transistor is built is at an angle other than 0 degrees or 90 degrees with respect to edges of front or back faces of a support structure on/in which the transistor resides, e.g., at an angle between 10 degrees and 80 degrees with respect to at least one of such edges. Angled transistors provide a promising way to increasing densities of transistors on the limited real estate of semiconductor chips.

Abstract: A disclosed method may include (i) determining, by a RAN intelligent controller (RIC) of a telecommunications network, a RAN function change, (ii) sending the RAN function change to a disaggregated application that is separate from the RIC, the disaggregated application including a small agent of an application of the RIC, and (iii) causing by the small agent of the application of the RIC, the RAN function change to alter a behavior of one or more of a centralized unit (CU) or a distributed unit (DU). Related systems and computer-readable mediums are further disclosed.