Abstract: Methods and systems for operating a vehicle include prompting a large language model LLM to generate parameters for a rule-based planner based on historical data for vehicles in a road scene. A trajectory is generated using the parameters. A driving action is performed to implement the trajectory.

Abstract: The disclosure relates generally to methods and systems for determining heat transfer rates between battery pack and coolant channel with varying coolant flow rate in a real-time. A lumped conductance generated between the battery pack and a coolant channel is used to determine the heat transfer rates between the battery pack and the coolant channel. Conventional techniques for calculating the lumped conductance between the battery and the coolant channel either use experimental methods or rely on the heat transfer correlations in simple geometry. The present disclosure calculates the lumped conductance by understanding an internal structure of a cylindrical battery pack using a high-fidelity computational fluid dynamic (CFD) simulation. This will help in determining the heat transfer rates of the battery pack in the real-time at the battery core especially when the coolant channel side hydrodynamic conditions change with time due to the variable coolant flow rates.

Abstract: Systems, computer program products, and methods are described herein for dynamic visual graph structure providing multi-stream data integrity and analysis. The present disclosure is configured to provide a reactive system aimed to trace the root cause of incidents and uncover potential gaps in security of an enterprise system. Maintaining accurate and meaningful information related to incidents is the key for success of data security protocols. The integrity of message data is kept intact for improved forensic investigation, as each database may keep varying information related to a single global session.

Abstract: Aspects of the disclosure relate to authentication. A computing platform may send, to a wearable device, an internet of things (IoT) vector key. The computing platform may receive an application access request from the wearable device, which may include authentication credentials. The computing platform may send, to the wearable device, a reference key comprising a sequence of row-column combinations corresponding to the IoT vector key, and the wearable device may be configured to identify a hash salt value using the reference key and the IoT. The computing platform may receive, from the wearable device, the hash salt value. The computing platform may generate, based on the hash salt value and the authentication credentials, a password. The computing platform may hash the password to produce a password hash, and may send the password hash to an application server for validation.

Abstract: Systems and methods for leveraging semantic information for a multi-domain visual agent. Semantic information can be leveraged to obtain a multi-domain visual agent. To train the multi-domain visual agent, questions can be sampled from question templates for domain-specific label spaces to obtain a unified label space. The domain-specific labels from the domain-specific label spaces can be mapped into natural language descriptions (NLD) to obtain mapped NLD. The mapped NLD can be converted into prompts by combining the questions sampled from the unified label space and the annotations. The semantic information can be learned by iteratively generating outputs from tokens extracted from the prompts using a large-language model (LLM). The multi-domain visual agent (MDVA) can be trained using the semantic information.

Abstract: Substituted furanopyrimidine chemical entities of Formula (I): wherein Ra has any of the values described herein, and compositions comprising such chemical entities; methods of making them; and their use in a wide range of methods, including metabolic and reaction kinetic studies; detection and imaging techniques; radioactive therapies; modulating and treating disorders mediated by PDE1 activity or dopaminergic signaling; treating neurological disorders, CNS disorders, dementia, neurodegenerative diseases, and trauma-dependent losses of function; treating stroke, including cognitive and motor deficits during stroke rehabilitation; facilitating neuroprotection and neurorecovery; enhancing the efficiency of cognitive and motor training, including animal skill training protocols; and treating peripheral disorders, including cardiovascular, renal, hematological, gastroenterological, liver, cancer, fertility, and metabolic disorders.

Abstract: A novel prophylactic therapy for cancer, as well as therapy against DNA damage, inflammation and immunosuppression involves the ?-blocker carvedilol, which is a racemic mixture consisting of two enantiomers, S- and R-carvedilol, in 1:1 ratio. S-carvedilol is a ?-blocker, with a highly potent antagonizing activity against the ?-adrenergic receptors, which is the main mechanism for the drug's pharmacological activity in treatment of high blood pressure and heart failure. Carvedilol—the racemic mixture—prevents ultraviolet radiation induced skin cancer by attenuating DNA damage, reducing inflammation and reversing immunosuppression. The non-?-blocking enantiomer R-carvedilol exhibits the same cancer preventive efficacy as the racemic carvedilol, without disturbing the cardiovascular system. Both carvedilol and R-carvedilol prevent chemical carcinogen-induced lung cancer development and lung inflammation.

Abstract: A method for policy onboarding includes receiving, by a processor, a request from a network slice service builder module for registration of an application bundle; requesting, by the processor, a central inventory create an application bundle object; requesting, by the processor, a policy manager create a policy descriptor file corresponding to one or more rule-based policy and the application bundle; and receiving, by the processor, a policy identifier (ID) for the application bundle from the policy manager.

Abstract: Systems and methods for providing autonomous user-directed insights and recommendations are provided herein. For example, a system includes a non-transitory computer-readable medium and a processor communicatively coupled to the non-transitory computer-readable medium. The processor is configured to execute processor-executable instructions to determine, by an insight engine, first usage tracking information associated with a first client device and generate, by the insight engine, a user-directed insight based on the first usage tracking information associated with the first client device. The user-directed insight includes a natural language insight.

Abstract: The invention solves the problem of lack of consistency in the policy handling of cellular devices and non-cellular devices. Security credentials that are acceptable to the core network are enabled by the invention to be used for devices that do not have access to such security credentials. This results in consistency in how policy is handled, as it enables the core network to handle policy for all devices, regardless of whether they have access to acceptable security credentials. Acceptable security credentials may be SIM-based credentials or certificate-based credentials, or any acceptable type of security credentials.

Abstract: Systems and methods for a self-improving model for agentic visual program synthesis. An agent can be continuously trained using an optimal training tuple to perform a corrective action to a monitored entity which in turn generates new input data for the training. To train the agent, an input question can be decomposed into vision model tasks to generate task outputs. The task outputs can be corrected based on feedback to obtain corrected task outputs. The optimal training tuple can be generated by comparing an optimal tuple threshold with a similarity score of the input image, the input question, and the corrected task outputs.

Abstract: Embodiments of a device and method are disclosed. In an embodiment, a method for wireless channel scanning involves performing a wireless local area network (WLAN) scan and a spectral scan on a first channel of a channel scan list, and at the wireless device, performing the WLAN scan and the spectral scan on a second channel of the channel scan list after the WLAN scan and the spectral scan on the first channel are completed.

Abstract: Systems and methods for curation of content, such as e-learning content or online instructional materials, according to particular criteria such as the amount of pictorial representations contained therein, the amount of verbal expression contained therein, and whether the content contains a summary. Other criteria may also be employed. Users may select any one or more of these and other criteria. Content is then sorted according to the selected criteria and presented as an ordered list of content that users can select for viewing.

Abstract: Aspects of the disclosure relate to a network traffic monitoring platform. The platform may train an attack pattern analysis model to output a behavior profile and a cumulative attack score. The platform may identify a password failure rate spike. The platform may extract a password hash from the network traffic. The platform may generate the behavior profile based on the password hash. The platform may generate the cumulative attack score based on the behavior profile. The platform may compare the cumulative attack score to a threshold. Based on identifying that the cumulative attack score is below the threshold, the platform may identify the password hash as a secure hash. Based on identifying that the cumulative attack score meets or exceeds the threshold, the platform may and generate password complexity rules. The platform may refine the attack pattern analysis model based on the attacked hash and the cumulative attack score.

Abstract: A compound having the following structure of Formula (I): or a stereoisomer of the compound, tautomer of the compound, pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R4, R5, R8, A, X, Z, and Y are as defined herein. Pharmaceutical composition comprising the compounds, and their use in methods of treating diseases are also described.

Abstract: The disclosure provides a method for deploying resources in a multi-cloud environment. The method includes receiving, by a dynamic resource placement system, a request to generate a resource placement configuration for one or more resources to be deployed in a multi-cloud environment; obtaining, by the dynamic resource placement system, a custom resource placement logic; obtaining, by the dynamic resource placement system, a cloud context comprising details of available cloud environments in the multi-cloud environment; generating, by the dynamic resource placement system and based on analyzing the cloud context using the custom resource placement logic, a resource placement configuration specifying one or more target cloud environments for deploying the one or more resources; and providing, by the dynamic resource placement system, the resource placement configuration to a cloud infrastructure management platform for deploying the one or more resources.

Abstract: A multi-task text infilling system receives a digital image and identifies a region of interest of the image that contains original text. The system uses a machine learning model to determine, in parallel: a foreground image that includes the original text; a background image that omits the original text; and a binary mask that distinguishes foreground pixels from background pixels, The system receives a target mask that contains replacement text. The system then applies the target mask to blend the background image with the foreground layer image and yield a modified digital image that includes the replacement text and omits the original text.

Abstract: Systems and methods for visual object detection using explicit negatives. To train an artificial intelligence model with explicit negatives, a data sampler can sample input data from a language-based dataset to select images with annotations. A negative generation engine can generate explicit negatives representing sentences that include contradicting words that are semantically related to the annotations by using an external knowledgebase. A model trainer can minimize the classification loss of positive labels while decreasing the confidence score of the explicit negatives for the artificial intelligence model. The negative generation engine can be optimized to generate next explicit negatives. The artificial intelligence model can backpropagate using positive labels and the next explicit negatives to generate supervisory loss corresponding to the net explicit negatives. The artificial intelligence model can detect objects from an input image.

Abstract: Methods and systems for object detection include generating a negative description for an input image of a road scene, based on a positive description of the input image, using a language model. A negative image is generated based on the input image and the negative description by replacing a portion of the input image that is described by the positive description with content that is described by the negative description using a generative image model. An object detection model is trained with the input image, the positive description, the negative description, and the negative image. An object is identified within a driving scene using the trained object detection model. A driving action is performed in a self-driving vehicle responsive to the identified object.

Abstract: Methods and systems for object detection include generating a negative description for an input image based on a positive description of the input image using a language model. A negative image is generated based on the input image and the negative description by replacing a portion of the input image that is described by the positive description with content that is described by the negative description using a generative image model. An object detection model is trained with the input image, the positive description, the negative description, and the negative image.