Abstract: Blockchain systems operate over a network of computing devices. Proof of space blockchain consensus systems utilize data stored in storage devices across the computing devices within the network. These storage devices are utilized to generate and store proof of space consensus data. This data is then accessed at a later time to respond to challenges issued across the blockchain network. In order to limit successful submissions of these challenge responses, one or more filters are utilized. These filters result in only a fraction of the stored data on a storage device to be useable for solving the blockchain challenge. Attackers may attempt to circumvent this filter to increase their odds of submitting an approved solution to the blockchain challenge. In order to address this, additional data structures are stored within the storage device and are registered at the time of creation on the blockchain to make these filters more robust.

Abstract: The present disclosure is directed to capturing network traffic for analysis. The present disclosure describes techniques to automate setting up a monitoring session for an application. The technique allows a user to set up a monitoring session by specifying the application to be monitored and one or more monitoring destinations (e.g., monitoring tools, monitoring fabric, etc.). The monitoring session can then be autonomously set up by the system without further input from the user.

Abstract: A suture retention device includes a housing having one or more suture slots. The device also includes a plunger with suture slots. The plunger is slidably disposed in a channel in the housing and when the housing suture slots are aligned with the plunger suture slots, a suture filament may be disposed in the slots. When the plunger is actuated so that the housing suture slots are misaligned with the plunger suture slots, the suture filament is captured between the plunger and the housing preventing movement of the suture filament.

Abstract: Techniques for providing a transactionally-consistent Hierarchical Navigable Small Worlds (HNSW) index are described. In one technique, a HNSW index for a plurality of vectors is stored. In response to receiving a set of changes to the plurality of vectors, storing the set of changes in a shared journal table instead of applying the set of changes to the HNSW index. in response to receiving a vector query that includes a query vector, a subset of the set of changes in the shared journal table is identified based on the query vector. Also, based on the query vector and the HNSW index, a subset of the plurality of vectors is identified. A result of the vector query is generated based on the subset of the set of changes and the subset of the plurality of vectors.

Abstract: A disclosed non-volatile memory (NVM) structure is implemented in a fully depleted semiconductor-on-insulator technology processing platform and includes multiple NVM banks with NVM cells including transistors. NVM banks have well regions in a substrate. Transistors of NVM cells of each NVM bank are on an insulator layer above a corresponding well region for that bank. A bias control circuit causes well regions for NVM banks in a standby state to be biased with a reverse back biasing voltage and causes a well region for an NVM bank in an operational state to be biased with a forward back biasing voltage. The bias control circuit can initiate forward back biasing during a cache data retrieval process (before NVM bank access) to ensure that the corresponding well region of an NVM bank at issue is fully biased when, following the cache data retrieval process, access to the NVM bank is still required.

Abstract: The present disclosure relates to optical systems, vehicles, and methods for providing improved mechanical performance of a camera and corresponding optical elements. An example optical system includes an outer housing and an inner support member. The optical system also includes an optical window coupled to the outer housing and the inner support member. The optical window is configured to be temperature-controllable. The optical system also includes a camera coupled to the inner support member. The camera is optically coupled to the optical window. Additionally, the outer housing, the optical window, and the camera are configured to be impact resistant.

Abstract: Example embodiments may provide methods for determining a quality of a film in spin coating process. The methods may include capturing images of portions of the film using an imaging device while coating the film on a substrate using a spinner. The imaging device may include SPCs and lens and/or SLMs. The methods may also include determining whether a characteristic of the film matches to a standard based on the images of the portions of the film. The method may further include performing detecting that the quality of the film is optimal in response to determining that the characteristic of the film matches to the standard or detecting that the quality of the film is not optimal in response to determining that the characteristic of the film does not match to the standard.

Abstract: A method for controlling a dual fuel engine system includes determining a gas flow target for an internal combustion engine of the dual fuel engine system, where the gas flow target is based on a gas power target of the internal combustion engine, a thermal efficiency estimate of the internal combustion engine, and a lower heating value (LHV) within the internal combustion engine. The method also includes adjusting the gas flow target based on at least one of a measured gas temperature or a measured gas injector pressure and determining at least one base gas injector command based on the adjusted gas flow target, a gas substitution rate estimate, and a gas substitution rate target. The method further includes determining, based on the at least one base gas injector command, a gas injector command for at least one engine bank.

Abstract: A cloud platform may include a model interface that receives from a client and at an interface for accessing a large language model, a prompt for a response from the large language model, and the client is associated with a set of configuration parameters via a cloud platform that supports the interface. The cloud platform may modify, in accordance with the set of configuration parameters, the prompt that results in a modified prompt and transmit, to the large language model, the modified prompt. The cloud platform may receive the response generated by the large language model and provide the response to a model that determines one or more probabilities that the response contains content from one or more content categories. The cloud platform may transmit the response or the one or more probabilities to the client.

Abstract: The disclosed technology teaches recovering a first virtual machine or an instance with an Internet Protocol address, a first root volume and one or more data volumes that are corrupted. The first virtual machine is hosted by a first cloud server that hosts plurality of virtual machines. The disclosed technology includes instructing the first cloud server to launch a recovery virtual machine. The recovery virtual machine launches one or more new data volumes based upon captured file system images in one or more snapshots taken of corrupted data volumes of the first virtual machine prior to becoming corrupted. The recovery virtual machine detaches the corrupted data volumes and attaches the new data volumes launched to the first virtual machine. The Internet Protocol address of the first virtual machine remains unchanged.

Abstract: A method and system for processing a purchase based on image recognition in a video stream being presented by a computing system. A method includes receiving a first user-input defining a first user-request to pause presentation of the video stream, and, responsive to the first user-input, pausing by the computing system the presentation of the video stream at a video frame. Further, the method includes detecting based on computer-vision analysis of the video frame, at least one object depicted by the video frame. Additionally, the method includes correlating the detected object with at least one purchasable item and presenting a prompt for purchase of the at least one purchasable item. Also, the method includes receiving a second user-input requesting to purchase a given one of the at least one purchasable item and processing, responsive to receiving the second user-input, a purchase of the given purchasable item for the user.

Abstract: A system includes a chamber body defining a processing volume. The system further includes a substrate support pedestal positioned in the processing volume and operable to support a substrate, the substrate support pedestal including one or more channels, where a coolant medium flows through the one or more channels to facilitate heat transfer from the substrate to the coolant medium. The system further includes a coolant medium circulator to circulate the coolant medium through the one or more channels. The system further includes a substrate temperature sensor operatively coupled to the chamber body, where the substrate temperature sensor measures a temperature of the substrate. The system further includes a coolant medium circulation controller, coupled to the coolant medium circulator and the substrate temperature sensor, to control a rate at which the coolant medium is circulated through the one or more channels.

Abstract: The present disclosure relates to a ULBP6 binding protein that inhibits the interaction between ULBP6 and NKG2D, and methods of treating cancer with said ULBP6 binding protein.

Abstract: The described method may include receiving user input indicating a configuration identifying a large language model (LLM) and a subset of documents indicated in the configuration as being available to a tenant. The method may include generating one or more vectorizations of content of the subset of documents. The method may include receiving a request to generate a generative response. The method may include generating the generative artificial intelligence (AI) prompt using the content to ground the generative AI prompt. The subset of documents may be identified based on a comparison between a vectorization of the request and the one or more vectorizations and based at least in part on a determination that a user associated with the tenant is permitted to access the subset of documents. The method may include presenting a response to the generative AI prompt, the response generated by the LLM using the generative AI prompt.

Abstract: Systems and methods for Generic Data Parsing (GDP) applications may automatically parse unstructured and/or semi-structured data sources (e.g., extensible Markup Language (XML), JavaScript Object Notation (JSON), and/or Common Business-Oriented Language (COBOL)) and generate a normalized and/or structured (e.g., relational) data schema, and load the parsed data into the structured data schema, which may then be readily queried utilizing known end-user tools.

Abstract: This invention pertains to reliable, lightweight and efficient hybrid electric powertrain and components thereof to power hybrid electric aircraft from one or more sources of electrical energy. In particular, a novel architecture is proposed for power panels that receive, condition and distribute high levels of electrical power to and from the propulsion electric motors and the one or several sources of electrical energy. Systems and methods for architecting the power panels using efficient, reusable and modular power electronics building blocks (PEBBs) is described, along with additional systems and methods for the optimal control of the power panels and components thereof. In addition, novel systems and methods are described for the efficient and lightweight thermal management for hybrid electric powertrain components, ranging from distribution manifolds for the powertrain or power panels, to micro fluid channels for cooling electronics with extreme heat flux.

Abstract: The disclosure provides polypeptides and pharmaceutical compositions thereof. Such polypeptides can be useful, for example, in treating pain in a subject. In some embodiments, the polypeptides are useful for treating neuropathic and/or inflammatory pain.

Abstract: Embodiments relate to systems and methods for on-demand margin borrowing and lending with automated de-leveraging. The method for on-demand margin borrowing and lending with automated de-leveraging executing instructions stored on memory by a hardware processor, can involve: enabling margin on a subaccount for cross-collateralization of assets; setting leverage threshold values for the subaccount; processing a loan request to buy or sell an asset from a borrower interface; processing a loan offer to generate returns from idle assets from a lender interface; determining rate for assets; executing a margin transaction between the borrower interface and a lender interface, the margin transaction being smart contract code for a blockchain infrastructure; and computing different types of margin data, and generating output for transmission, storage, or display at an interface.

Abstract: Embodiments are directed to a method for predicting a location of user equipment (UE) (500) in a wireless communication network. The method includes receiving, by a Near-Real time RAN Intelligent Controller (Near RT RIC) (100), collated UE measurements associated with the UE (500), from an access node (1000) over an E2 interface. The collated UE measurements is determined based on a plurality of UE measurements associated with the UE (500) sent by at least three transmission receipt points (TRPs) (600a-c) to the access node (1000). The method also includes inputting, by the Near RT RIC (100), the collated UE measurements to a location prediction model (184) located at the Near RT RIC (100); and predicting, by the Near RT RIC (100), a location of the UE (500) by the location prediction model (184) based on the collated UE measurements.

Abstract: Building machine learning models using a standardized library of machine learning model tools. An Application Programming Interface (API) serves as an interface between one or more computer applications that receive user commands for building machine learning models and the standardized library of tools. The API provides an interface between data scientists tasked with designing machine learning models conceptually and a standardized set of software engineering tools. The API enables incorporation of the relevant standardized software engineering tools to build the machine learning models that have been designed conceptually by the data scientists.