Abstract: Systems and methods enable the provisioning of security as a service for network slices. A network device stores definitions of multiple security assurance levels for network slices based on security parameters of assets used in the network slices. The network device stores multiple network slice templates, wherein the multiple network slice templates have different security assurance levels, of the multiple security assurance levels, for a Network Service Descriptor (NSD). The network device receives a request for a network slice with a requested security assurance level, of the multiple security assurance levels, for the NSD, and deploys the network slice using one of the network slice templates that has a security assurance level that corresponds to the requested security assurance level. The network device monitors the security parameters of the assets of the network slice for changes to the security assurance level of the deployed network slice.

Abstract: A method may include receiving, at a device, an indication based on an entry submitted to a queue, obtaining, based on the indication, a measurement for the entry, encoding the measurement to generate an encoded measurement, and storing the encoded measurement. The encoding may include one or more of delta encoding, entropy encoding, or run length encoding. The method may further include modifying the measurement based on a status of the queue. The status of the queue may include an amount of entries in the queue, and the modifying the measurement may include setting the measurement to a value. The status of the queue may include an empty queue, and the modifying the measurement may include resetting the measurement. The encoding may include encoding based on one or more parameters. The method may further include determining at least one of the one or more parameters.

Abstract: Existing privacy-preserving techniques suffer from inherent drawbacks to retain characteristics of observed, and original industrial time series data for utility in the downstream tasks such as process modelling, control, optimization and etc. The embodiments herein provide a method and system for privacy preserving generative mechanism for data-disclosure of the industrial multivariate mixed-variable time series data. The system fuses an industrial time series data with a random gaussian noise to preserve the privacy of the industrial time series data and trades-off the privacy with the utility of synthetic-private data. Further, the system presents the privacy-preserving synthetic industrial data generative mechanism for data disclosure with minimal risk of AI technique and strong privacy guarantees.

Abstract: Various embodiments provide methods, apparatuses, computer program products, systems, and/or the like for an efficient framework that enables explainability machine learning for various machine learning-based tasks. In various embodiments, the framework for explainable ML is configured for acceleration and efficient computing using hardware accelerators. To provide acceleration of explainable ML, various embodiments exploit synergies between convolution operations for data objects (e.g., matrix, images, tensors, arrays) and Fourier transform operations, and various embodiments apply these synergies in hardware accelerators configured to perform such operations. Accordingly, various embodiments of the present disclosure may be applied in order to provide real-time or near real-time outcome interpretation in various machine learning-based tasks. Extensive experimental evaluations demonstrate that various embodiments described herein can provide drastic improvement in interpretation time (e.g.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine whether sufficient resources are available to perform a transmission in a current slot. The UE may transmit the transmission in the current slot, transmit an early reservation signal for a future resource, or determine whether sufficient resources are available to perform the transmission in a subsequent slot based at least in part on a probability-based determination and based at least in part on whether sufficient resources are available to perform the transmission in the current slot. Numerous other aspects are provided.

Abstract: Provided are systems and methods for real-time identification of fraudulent users of an online resource such as a website or mobile application, including new user accounts that have yet to transact on the online resource. In one example, a method may include receiving, by a host platform of an online resource, a request from a user device associated with a user account of the online resource, creating, by the host platform, a device fingerprint of the user device based on a plurality of device attributes included in the request, determining, by the host platform, whether the device fingerprint matches a previously banned device fingerprint stored in a database by the online resource, and in response to a determination that the device fingerprint has been banned previously, automatically restricting, by the host platform, an ability of the user account with the online resource.

Abstract: A Wi-Fi network includes one or more access point devices configured to connect to one or more devices; wherein the Wi-Fi network is designated by a Service Set Identifier (SSID); wherein each Wi-Fi client device accesses the Wi-Fi network using the SSID and a key of a plurality of keys each being a password or certificate for the Wi-Fi network; and wherein each of the plurality of keys designates an access zone of a plurality of access zones each defining rules for network and/or device access such that the one or more access point devices provide selective access based on which of the plurality of keys is used for each of the one or more devices.

Abstract: A method is provided for pretraining vision and language models that includes receiving image-text pairs, each including an image and a text describing the image. The method encodes an image into a set of feature vectors corresponding to input image patches and a CLS token which represents a global image feature. The method parses, by a text tokenizer, the text into a set of feature vectors as tokens for each word in the text. The method encodes the CLS token from the NN based visual encoder and the tokens from the text tokenizer into a set of features by a NN based text and multimodal encoder that shares weights for encoding both the CLS token and the tokens. The method accumulates the weights from multiple iterations as an exponential moving average of the weights during the pretraining until a predetermined error threshold is reduced to be under a threshold amount.

Abstract: A method of operating an infotainment system including: transmitting a public key request for the infotainment system, the public key request including a hardware identification number that identifies the infotainment system; receiving a public key for the infotainment system; saving the public key and content or firmware for the infotainment system onto a mobile storage medium; and transferring the public key and the content or the firmware from the mobile storage medium to the infotainment system.

Abstract: An apparatus includes a main core processor configured to receive a first signal through a first main buffer, a second signal through a second main buffer, a third signal through a third main buffer, and a fourth signal through a fourth main buffer, a shadow core processor configured to receive the first signal through a first shadow buffer, the second signal through a second shadow buffer, the third signal through a third shadow buffer and the fourth signal through a fourth shadow buffer, and a first glitch suppression buffer coupled to a common node of an input of the first main buffer and an input of the first shadow buffer.

Abstract: Described herein are HSD17B13 inhibitors and pharmaceutical compositions comprising said inhibitors. The subject compounds and compositions are useful for the treatment of liver disease, metabolic disease, or cardiovascular disease, such as NAFLD or NASH, or drug induced liver injury (DILI).

Abstract: A release system for an evacuation slide assembly of an aircraft includes a first actuator and in various embodiments a second actuator. The first actuator and the second actuator each comprise an SMA spring configured to be electrically energized for actuating the first and second actuators in response to an evacuation event. In various embodiments, the first actuator is configured to release a blowout panel of the evacuation slide assembly in response to the first SMA spring being electrically energized. In various embodiments, the second actuator is configured to release a soft cover of the evacuation slide assembly in response to the second SMA spring being electrically energized.

Abstract: This disclosure relates generally to methods and systems for screening and design of corrosion inhibitors. Conventional techniques in the art for predicting the inhibition efficiency of the molecule are not so accurate, where the inhibition efficiency is one of the important parameter for screening and design of corrosion inhibitors. In the present disclosure, the IE prediction model is developed by training a multi-task network model using the molecular descriptors of different classes of the molecules, and also the experimental conditions of the molecule. Further, a unique screening technique is disclosed that screens the molecules using various parameters including the inhibition efficiency of the molecule, an energy gap of the molecule, a synergistic effect of the molecules and an interaction energy of the molecules. Further the present disclosure allows to design a new molecule by making changes to the molecules that suits based on the end applications.

Abstract: Embodiments disclosed herein include an electrostatic chuck. In an embodiment, the electrostatic chuck comprises a pedestal with a support surface for supporting a substrate and a second surface opposite from the support surface, and chucking electrode within the pedestal. In an embodiment, a biasing electrode is within the pedestal, and a heating element is within the pedestal. In an embodiment, the electrostatic chuck further comprises a shaft coupled to the second surface of the pedestal, and a rotation assembly coupled to the shaft to rotate the shaft and the pedestal.

Abstract: An apparatus (100) and a method for a point of care drug product delivery are provided. A point of care drug product delivery apparatus includes a central interface member (110) that serves as an interface between a saline source, a drug product source, and an infusion line. The central interface member facilitates priming the infusion line with saline from the saline source, infusing drug product to a patient from the drug product source, and flushing the infusion line with saline from the saline source. According to aspects of the current subject matter, the central interface member provides and/or forms fluidic connections and/or passageways between various ones of the saline source, the drug product source, and the infusion line.

Abstract: Aspects of the disclosure relate to controlling autonomous vehicles to provide automated emergency response functions. A computing platform may receive vehicle data associated with a vehicle from an on-board vehicle monitoring system associated with the vehicle. Subsequently, the computing platform may detect an occurrence of an emergency at a location. Thereafter, the computing platform may select an autonomous vehicle to respond to the emergency at the location based on autonomous vehicle state information. Then, the computing platform may generate one or more dispatch commands directing the autonomous vehicle to move to the location and execute one or more emergency response functions. Subsequently, the computing platform may send, to an on-board autonomous vehicle control system associated with the autonomous vehicle, the one or more dispatch commands directing the autonomous vehicle to move to the location and execute the one or more emergency response functions.

Abstract: Logic may identify feature contributions to erroneous predictions by predictive models. Logic may provide a set of two or more models. Each model may train based on a training dataset and test based on a testing dataset and two or more models may be unique. Logic may test the set during a monitoring period. Logic may perform residual modeling on each model in the set during the monitoring period and may determine a list of input features that contribute to a residual of each model of the set. A residual comprises a difference between a predicted result and an expected result. Logic may generate a combined list of the input features from the set and may rank the input features. Logic may perform a voting process to generate the ranks for the input features. And logic may classify features as exogenous or endogenous based on a threshold and the ranks.

Abstract: Described herein are HSD17B13 inhibitors and pharmaceutical compositions comprising said inhibitors. The subject compounds and compositions are useful for the treatment of liver disease, metabolic disease, or cardiovascular disease, such as NAFLD or NASH, or drug induced liver injury (DILI).

Abstract: A present disclosure relates to a switch assembly for a vehicle. The switch assembly comprises a housing, a carrier assembly, a base assembly, and an actuator. The carrier assembly is positioned at a top end of the housing. A knob has a protrusion extending downwardly through an opening of an intermediate member. A carrier has a first cutout to accommodate the protrusion of the knob and a second cut-out to movably accommodate a first biasing member. The base assembly comprises a base member and a microswitch supported by the base member and connected to terminals placed within the base member. The actuator is defined with a cam profile configured to allow a displaceable member to displace on the cam profile between a first end and a second end of the actuator.

Abstract: Systems and associated methods are described for determining popularity of new content. The system analyzes a content item to identify at least a first and a second attribute associated with the content item. The system also identifies previously posted content items associated with the first and the second attributes. The system then determines levels of user activity associated with the previously posted content item corresponding to the first attribute over a first past time period and associated with the previously posted content item corresponding to the second attribute over a second past time period. The system then extrapolates a levels of user activity for a future time period based on the first past time period and on the second past time period. The system further determines an anticipated level of user activity associated with the content item for the future time period based on the extrapolated levels of user activity.