Abstract: Some examples of the techniques described herein may address one or more issues for some non-linear channel codes (e.g., for artificial intelligence-based channel codes that are non-linear or that generate codes in the set of real numbers). Some of the techniques described herein, using a non-linear code with unequal error probabilities among codewords, may reduce error probability differences (e.g., may provide equal or approximately equal error probabilities) regardless of the messages to be transmitted while maintaining reduced average error probability. In some examples, scrambling may be performed to achieve reduced error probability differences among codewords for a non-linear code. Other scrambling approaches may be used to randomize inter-cell interference or to avoid biases in the generated codewords. In some approaches, scrambling may be performed after channel coding. Some examples of the techniques described herein may include performing scrambling before channel coding.

Abstract: Methods and systems for securing an application programming interface (API) are presented. The method comprises: receiving API workflow data associated with an API testing tool and generating a scan configuration file using the API workflow data; crawling the collection of API requests by identifying and retrieving a link associated with the collection of API requests; and crawling the link to generate a crawled link response. The method also includes executing one or more vulnerability tests on the crawled link response including applying at least one passive detection rule to the crawled link response and fuzzing the link. The fuzzed link may be transmitted in a request to an application server following which scan data indicative of at least one vulnerability associated with a response from the application server may be generated. The scan data may be used to generate a vulnerability report.

Abstract: An automated method and kiosk for obtaining diagnostic images of a patient are provided. The method is performed by receiving personal information about the patient at the automated kiosk, obtaining, with a diagnostic imaging system at the automated kiosk, a first diagnostic image of the patient from a first projection angle relative to at least one body part of the patient, and obtaining, with the diagnostic imaging system, a second diagnostic image of the patient from a second projection angle relative to the at least one body part. The method steps are performed without real-time control of the automated kiosk by another human.

Abstract: A system includes a displacement sensor configured to measure one or more properties of a top surface of a substrate. The one or more properties are associated with at least one of substrate bow or substrate warpage. The system further includes a processing device communicatively coupled to the displacement sensor. The processing device is configured to receive, from the displacement sensor, sensor data indicative of the one or more properties of the top surface of the substrate, construct a substrate topology map based on the received sensor data, and cause management of the substrate based on the substrate topology map.

Abstract: A robotic system configured for performing a task of loading and unloading goods. The robotic system comprises a mobile base assembly, an actuation assembly coupled to the mobile base assembly and configured to move with respect to the base assembly, and a head assembly mounted atop the actuation assembly or the mobile base assembly. The head assembly comprises one or more sensors configured to collect data related to an operation environment and the task to be performed. The robotic system further comprises a dynamic conveyor coupled to the mobile base assembly. The dynamic conveyor comprises a platform. The robotic system furthermore comprises a control unit configured to move the platform to align the platform with respect to the goods to be loaded or unloaded. Further, the robotic system comprises a manipulation arm coupled to the actuation assembly or the dynamic conveyor and configured to move to perform the task.

Abstract: According to one embodiment, a method, computer system, and computer program product for contextual route guidance is provided. The embodiment may include receiving user information related to a current travel route. The embodiment may further include identifying current status information associated with a transportation hub through IoT-collected data. The embodiment may also include generating a navigation path for a user to reach a destination within the transportation hub based on the received user information and the identified current status information. The embodiment may further include presenting the navigation path to the user.

Abstract: Systems, methods, and computer-readable storage media for reinforcing and modifying the search engine behavior using aspects of federated learning. A system can receive from a user at a first time, a query for a product, then generate a vector representation of the query, and execute a search of an embedding space for the vector representation, resulting in at least one similarity score for at least one product. The system can present to the user search results based on the at least one similarity score, and receive from the user a selected product from within the search results. The system can update, based on the selected product, the at least one similarity score for the selected product, resulting in at least one updated similarity score, where when the query is received again the search of the embedding space for the vector representation produces the at least one updated similarity score.

Abstract: Provided herein are compounds, such as compounds of Formulae (I), (I?), (XI), (XII), and (XIII), and pharmaceutically acceptable salts, solvates, tautomers, stereoisomers, and isotopically labeled derivatives thereof, and compositions, methods, uses, and kits thereof. The compounds provided herein are lipids useful for delivery of agents, including polynucleotides such as mRNA, for the treatment and/or prevention of various diseases and conditions (e.g., genetic diseases, proliferative diseases, hematological diseases, neurological diseases, liver diseases, spleen diseases, lung diseases, painful conditions, psychiatric disorders, musculoskeletal diseases, metabolic disorders, inflammatory diseases, and autoimmune diseases). Also provided herein are methods of synthesis of compounds of Formulae (I?), (XI), (XII), (XIII), and (VIII).

Abstract: The various embodiments described herein include methods, devices, and systems for customizing dental care. In one aspect, a personalized dental care device includes a first customized mouthpiece including a top cleaning tray and a bottom cleaning tray, each customized based at least in part on an electronic 3-D dental model of a respective user's mouth. The personalized dental care device includes one or more power mechanisms, configured to couple with the first customized mouthpiece, and to transmit energy to at least one cleaning tray of the first customized mouthpiece. The personalized dental care device is configured to be operated in a plurality of modes. Each respective mode of the plurality of modes is associated with a different method for providing oral care.

Abstract: The various embodiments described herein include methods, devices, and systems for customizing dental care. In one aspect, personalized toothbrush devices are 3-D printed for a plurality of users. A 3-D dental model of a respective user's mouth is obtained, and a configuration for a mouthpiece of a respective personalized toothbrush device is determined. The respective personalized toothbrush device is 3-D printed, and includes a top cleaning tray, a bottom cleaning tray, and a set of cleaning elements, each customized based at least in part on the 3-D dental model of the respective user's mouth. Each personalized toothbrush device is 3-D printed for each respective user of the plurality of users, and is different from every other user's personalized toothbrush device.

Abstract: Provided are apparatus, method, and device for managing network neighbor data. According to embodiments, the method may be configured to: receiving, by a configuration manager, updated data of one or more neighboring cells in a telecommunications network; saving, by the configuration manager, the updated data into persistent storage; displaying, by the configuration manager, the updated data in a graphical user interface (GUI); and receiving, by the configuration manager, a first instruction to change a configuration in the one or more neighboring cells.

Abstract: Methods, systems, and computer-readable storage media for receiving a communication, aggregating user data and event data, the user data representative of a user that as an addressee of the communication, the event data representative of an event described in the communication, determining, from a GNN, a sub-GNN that is specific to the user, the GNN including a data structure that represents users of an enterprise and relationships between users, the sub-GNN representing a portion of the GNN, providing an updated sub-GNN based on the event data, generating a recommendation regarding the event using the updated sub-GNN, the recommendation being specific to the user, providing reason text from a LLM responsive to a prompt, and transmitting a notification to the user, the notification including the recommendation and the reason text.

Abstract: An apparatus for generating annotations for electronic records is disclosed. The apparatus includes a processor and a memory containing instructions configuring the processor to receive unstructured data for a plurality of electronic records and generate a plurality of machine learning models (MLMs), wherein each MLM of the plurality of MLMs is trained using a machine learning algorithm. The processor is further configured to generate at least one annotation for the unstructured data using each MLM of the plurality of MLM and structure the unstructured data as structured data as a function of the generated annotations.

Abstract: The present invention describes an Artificial Intelligence (AI) based Advanced Driver Assistance System (ADAS) testing tool. The testing tool comprises a processing unit configured to filter out, using a pre-trained noise cancellation ML model, the received audio signals to isolate noise signals from the received audio signals. Sequentially, the processing unit is configured to, using a using a pre-trained audio classification ML model, identify one or more audio signal from the filtered-out audio signals relating to ADAS audio signals and classify each of the one or more identified signals into a frequency class based on their distinct frequency characteristics. Finally, the processing unit is configured to evaluate each of the classified signal based on ADAS actions associated with the vehicle and generate test results of ADAS testing on each of the classified audio signals, based on the evaluation.

Abstract: A system, apparatus and method for managing plurality of assets in technical installation is provided. The method includes receiving, by a processing unit, a set of requirements for managing the plurality of assets, selecting one or more assets from the assets based on the received set of requirements, mapping the one or more assets to corresponding sensing units, extracting information associated with the selected one or more assets and the received set of requirements, determining performance indicator based on information extracted from the knowledge base and mapped sensing units, defining workflow to be executed based on the determined at least one performance indicator, selecting configured machine learning model from a set of machine learning models based on the defined workflow, and determining an outcome of the selected machine learning model based on the received set of requirements.

Abstract: A skill wallet platform retrieves and aggregates a first plurality of tokens into a first skill wallet for a first user. Each token of the plurality of tokens corresponds to a given skill of the first user. Then, the skill wallet platform authenticates the first plurality of tokens. Next, the skill wallet platform determines a compatibility between the first skill wallet and each job listing of a plurality of job listings. In an example, the skill wallet platform generates a score for each job listing based on a compatibility between the job listing and the first skill wallet. Then, the skill wallet platform returns a given number of job listings which are most compatible with the first skill wallet, where the given number of job listings are those job listings with the highest scores.

Abstract: An approach for a computer program to retrieve historical incident data associated with a contaminated site to predict a future incident at the contaminated site. In the approach, the computer program evaluates the historical incident data to determine a deployment of a plurality of unmanned vehicles to form a virtual fence around the contaminated site. Furthermore, in the approach, the computer program determines instructions for the deployment of each of the plurality of unmanned vehicles to form the virtual fence around the contaminated site. In the approach, the computer program sends the instructions to form the virtual fence to each of the plurality of unmanned vehicles.

Abstract: Container image optimization is provided for a deployment environment. An indication of a plurality of container images to be deployed in a deployment to provide a plurality of services within a computing environment is obtained. The plurality of container images of the deployment has a total layer size of a plurality of image layers of the plurality of container images. At least one container image of the plurality of container images is reconfigured to adjust the total layer size for the deployment. The reconfiguring is based on one or more deployment characteristics of the deployment and includes replacing at least one image layer of a container image of the at least one container image with one or more other image layers configured based on the plurality of container images to be deployed.

Abstract: Provided are methods, systems, devices, apparatuses, and tangible non-transitory computer readable media for controlling avatars in an augmented reality environment. The disclosed technology can receive sensor data comprising images of a physical environment and images of a user. Based on the sensor data, an augmented reality environment comprising an avatar and based on the images of the physical environment can be generated. The avatar can comprise a three-dimensional model comprising a facial region based on the images of the user. Inputs to control the avatar within the augmented reality environment can be detected and facial states of the user can be determined based on the images. Based on the inputs and the facial states, states of the avatar can be modified. The states of the avatar can comprise a position of the avatar within the augmented reality environment and a configuration of the facial region based on the facial states.

Abstract: According to one aspect, a system includes a processor core, a history buffer, a history buffer logic, and an interrupt controller. The processor core is configured to issue a trigger that causes the history buffer logic to, after a fixed time, flush existing entries in the history buffer and start adding new entries into the history buffer. According to another aspect, a system includes a processor core that includes a load store tracker buffer and a prefetch engine. The buffer is configured to track a critical section memory location associated with critical section data fetched by the processor core. The prefetch engine is configured to obtain the critical section memory location from a previous load store tracker buffer associated with a previous lock holder processor core. The system also includes a lock manager configured to signal the buffer to start and stop tracking the critical section memory.