Abstract: Systems and methods are described herein for increasing the efficiency of generating training data. Specifically, the systems and methods relate to increasing the efficiency and accuracy of data labeling, particularly in instances of dynamically updated datasets of unlabeled data. For example, many applications of artificial intelligence models require real-time processing in order to generate usable results, which itself creates a technical hurdle. To further exacerbate this problem, many of the artificial intelligence models that provide this real-time processing require real-time or near-real-time training as new data is received in order to maintain their accuracy. These processing requirements create fundamental challenges in generating training data in instances of dynamically updated datasets of unlabeled data.

Abstract: Methods and systems for generating federated learning models. In some aspects, the system receives, from each client device, user data profiles that are anonymized with respect to users associated with user data stored locally at a client device. The system processes the user data profiles to generate a plurality of clusters. For each cluster, the system transmits, to one or more client devices corresponding to a cluster, a first instruction to train a machine learning model on user data corresponding to user data profiles included in the cluster and a second instruction to validate the machine learning model with respect to user data corresponding to one or more clusters of the plurality of clusters other than the cluster to generate a prediction accuracy metric. The system determines, from the plurality of clusters, a first cluster based on associated prediction accuracy metrics.

Abstract: Disclosed embodiments may include a system for fraud detection. The system may identify, using a web browser extension, that a user has navigated to a webpage on a user device. The system may receive, via the webpage, data associated with a transaction. Responsive to receiving the data, the system may retrieve search history data corresponding to a searching session associated with the data, and may identify a searching session path corresponding to the transaction. The system may determine, using a machine learning model (MLM) and based on the search history data and the searching session path, a likelihood of fraud associated with the data. The system may determine whether the likelihood exceeds a predetermined threshold. Responsive to determining the likelihood exceeds the predetermined threshold, the system may conduct one or more fraud prevention actions.

Abstract: In some implementations, a device may obtain a first document set associated with a first code repository. The device may generate a first embedding set of one or more embeddings for respective documents included in the first document set. The device may obtain a second embedding set of one or more embeddings for respective documents included in a second document set associated with a second code repository. The device may compare the first embedding set to the second embedding set. The device may generate a code repository similarity score that indicates a similarity between the first code repository and the second code repository. The device may perform, based on the code repository similarity score satisfying a threshold, an action associated with the first code repository and/or the second code repository.

Abstract: Methods and systems are described for novel uses and/or improvements to federated learning. As one example, methods and systems are described for improving the applicability of federated learning across various applications and increasing the efficiency of training a global model through federated learning. As another example, methods and systems are described for ensuring comprehensive training data is available to models assigned by the federated learning server. Additionally, methods and systems are described for improving the rate of training a global model through federated learning.

Abstract: Systems and methods for triggering token alerts. In some aspects, the system, after determining that the probability that an authentication request from an authentication token is associated with a malicious activity is above a threshold, determines whether a user device associated with the authentication token is within a threshold distance of the authentication token. In response to determining that the authentication token is not within the threshold distance of the user device, the system declines the authentication request and transmits an alert request to the authentication token to emit an audio signal from a speaker included in the authentication token.

Abstract: A refuse vehicle includes a chassis, a body supported on the chassis, a pump, a tank configured to supply hydraulic fluid to the pump, and a service indicator configured to provide an indication of a fluid level within the tank. The service indicator includes a light, a graphic on a display, or a symbol in an augmented reality overlay. The service indicator is configured to provide the indication of the fluid level within the tank in response to a request signal.

Abstract: An apparatus for preparing a liquid preparation uses a two-part system. A first part includes a first reagent and a second part includes a second reagent. The first reagent and the second reagent react when mixed to form an active ingredient of the liquid preparation. The liquid preparation is a diluent. The apparatus includes a primary chamber for receiving a quantity of the first part, a quantity of the second part and a quantity of the diluent, a reagent inlet for admitting the first part and the second part to the primary chamber, a diluent inlet connectable to a diluent supply for admitting the diluent to the primary chamber, an outlet for releasing the liquid preparation from the primary chamber, and a flow controller to admit a pre-determined volume of diluent to the primary chamber in a pre-determined time period when the diluent inlet is connected to a diluent supply.

Abstract: An apparatus is disclosed for preparing a liquid preparation using a two-part system comprising a first part including a first reagent and a second part including a second reagent, wherein the first reagent and the second reagent react when mixed to form an active ingredient of the liquid preparation. The apparatus comprising a mixing funnel having a reaction chamber, an inlet region for admitting a quantity of the first part and a quantity of the second part into the reaction chamber, for example from a dispensing capsule, to form a reagent mixture in the reaction chamber in use, and an outlet comprising at least one restriction orifice for releasing the reagent mixture from the reaction chamber at a controlled rate, and a primary chamber arranged to receive the reagent mixture from the reaction chamber through the restriction orifice.

Abstract: In some aspects, a computing system may iterate between adding spurious data to the dataset and training a model on the dataset. If the model's performance has not dropped by more than a threshold amount, then additional spurious data may be added to the dataset until the desired amount of performance decrease has been achieved. the computing system may determine the amount of impact each feature has on a model's output. The computing system may generate a spurious data sample by modifying values of features that are more impactful than other features. The computing system may repeatedly modify the spurious data that is stored in a dataset. If a cybersecurity incident occurs (e.g., the dataset is stolen or leaked), the system may identify when the cybersecurity incident took place based on the spurious data that is stored in the dataset.

Abstract: In some aspects, a computing system obtain a first dataset including a set of original data samples and a first set of spurious data samples. Based on a time period expiring, the computing system may replace the first set of spurious data samples in the first dataset with a second set of spurious data samples. The computing system may obtain an indication that a second dataset is available via a third-party computing device. Based on a determination that a subset of samples of the second dataset correspond to the first set of spurious data samples, the computing system may determine a time window in which an incident occurred. As an example, the time window may be determined to correspond to a time before the first set of spurious data samples were replaced with the second set of spurious data samples.

Abstract: In some aspects, a computing system obtain a first dataset including a set of original data samples. The computing system may generate a key that indicates a location within the first dataset where spurious data should be stored. The computing system may determine a modified value associated with a first data sample of the set of original data samples, where the modified value causes a machine learning model to generate output that does not match a label associated with the first data sample. Based on the first data sample, the computer system may generate a spurious data sample comprising the modified value. Based on the key, the computer system may add the spurious data sample to the first dataset. In some aspects, based on a request for the first dataset, the computing system may remove the spurious data sample from the first dataset.

Abstract: An assembly (2) for dispensing liquids comprises: • a base member (8); • a cap (4) on the base member (8); and • a dispensing capsule (6) in the base member (8) and covered by the cap (4). The dispensing capsule (6) comprises: • a capsule body (7) having a first end (16) and a second end (18); • at least one wall (20) defining a first cavity (38) within the capsule body, the first cavity (38) having a first opening at the first end (16) of the capsule body; • at least one wall (22) defining a second cavity (40) within the capsule body, the second cavity (40) having a second opening at the first end (16) of the capsule body; • the first opening and the second opening provided with a seal member (64) which seals the first cavity (38) and the second cavity (40). The walls of the first cavity and the second cavity are collapsible if pressure is applied to the cavities from the second end (18) of the capsule body.

Abstract: An electric powertrain includes a first electric motor that has an uninterrupted connection with a drive shaft of a vehicle. The electric powertrain further includes a second electric motor that has an interruptible connection with the drive shaft. In one form, this interruptible connection includes a clutch. The electric powertrain further includes a first gear train in the form of a first planetary gear and a second gear train in the form of a second planetary gear. To provide a compact configuration, the first electric motor and second electric motor are arranged in a longitudinal orientation with the drive shaft.

Abstract: A vivarium measurement system for deployment in a vivarium environment and corresponding rooms that includes a microphone system, an at least one accelerometer in operational relationship to the microphone system, a data computational device that inputs data from the microphone system and the at least on accelerometer and wherein the data computational device comprises of a spectrum analyzer. The vivarium measurement system is optionally provided with an at least one alarm system that relays an alert when a threshold parameter is exceeded as determined by the spectrum analyzer.

Abstract: An electric powertrain includes a first electric motor that has an uninterrupted connection with a drive shaft of a vehicle. The electric powertrain further includes a second electric motor that has an interruptible connection with the drive shaft. In one form, this interruptible connection includes a clutch. The electric powertrain further includes a first gear train in the form of a first planetary gear and a second gear train in the form of a second planetary gear. To provide a compact configuration, the first electric motor and second electric motor are arranged in a longitudinal orientation with the drive shaft.

Abstract: An electric powertrain includes a first electric motor that has an uninterrupted connection with a drive shaft of a vehicle. The electric powertrain further includes a second electric motor that has an interruptible connection with the drive shaft. In one form, this interruptible connection includes a clutch. The electric powertrain further includes a first gear train in the form of a first planetary gear and a second gear train in the form of a second planetary gear. To provide a compact configuration, the first electric motor and second electric motor are arranged in a longitudinal orientation with the drive shaft.

Abstract: An electric powertrain includes a first electric motor that has an uninterrupted connection with a drive shaft of a vehicle. The electric powertrain further includes a second electric motor that has an interruptible connection with the drive shaft. In one form, this interruptible connection includes a clutch. The electric powertrain further includes a first gear train in the form of a first planetary gear and a second gear train in the form of a second planetary gear. To provide a compact configuration, the first electric motor and second electric motor are arranged in a longitudinal orientation with the drive shaft.