Abstract: An integrated circuit and a method for designing an IC wherein the base or host chip is bonded to smaller chiplets via DBI technology. The bonding of chip to chiplet creates an uneven or multi-level surface of the overall chip requiring a releveling for future bonding. The uneven surface is built up with plating of bumps and subsequently releveled with various methods including planarization.

Abstract: In one aspect, the present disclosure provides compounds which inhibit bromodomain testis (BRDT). In some embodiments, the compounds inhibit bromodomain-2 of BRDT. In another aspect, the present disclosure provides a method of inhibiting BRDT in a male subject, the method comprising administering to the male subject a therapeutically effective amount of a compound of the disclosure. In some embodiments, the method provides a contraceptive effect in the male subject.

Abstract: A computer-implemented method according to one embodiment includes accessing a copy of a ledger that includes information associated with a plurality of potential recovery sites of a multi-site environment. The information of the copy of the ledger is stored on a blockchain by the potential recovery sites. A current threat to a production site of the multi-site environment is identified. The method further includes, analyzing, based on the current threat, the copy of the ledger to determine one of the potential recovery sites to use as a failover for the production site, and in response to a determination that the current threat has caused a disaster event on the production site, causing the production site to failover to the determined recovery site.

Abstract: Systems and methods are described for automated threat detection. For example, the system receives various types of unlabeled data and determines, through an unsupervised machine learning model, a label for the data. The labels are provided to a supervised machine learning model during a first training process. When new data is received, the supervised machine learning model is executed during an inference process to cluster the new data in accordance with the labels that were determined by the unsupervised machine learning model. In some examples, a label audit process may be implemented to update the cluster/output of the supervised machine learning model. The updated labels from the label audit process may be provided back to the supervised machine learning model during a second training process. In other words, the system may combine the unsupervised machine learning model with a supervised machine learning model to perform automated threat detection.

Abstract: A moisture-curable polyethylene formulation comprising a (hydrolyzable silyl group)-functional polyethylene copolymer and a condensation cure catalyst. The formulation is designed to be rapidly moisture curable under ambient conditions. Also methods of making and using same; cured polymer products made therefrom; and articles containing or made from same.

Abstract: Solar tracker systems include a rotatable tube defining a longitudinal axis and a rail mounted on the rotatable tube. The rail extends transversely outward of the tube between first and second opposed ends. The solar tracker system further includes a photovoltaic panel assembly attached to the rail and a rail connector securing the rail to the rotatable tube. The rail connector includes at least one clip attached to the rail and a lock bracket defining a notch receiving the clip therein such that the clip applies tension on the lock bracket.

Abstract: Hyperchip structures and methods of fabricating hyperchips are described. In an example, an integrated circuit assembly includes a first integrated circuit chip having a device side opposite a backside. The device side includes a plurality of transistor devices and a plurality of device side contact points. The backside includes a plurality of backside contacts. A second integrated circuit chip includes a device side having a plurality of device contact points thereon. The second integrated circuit chip is on the first integrated circuit chip in a device side to device side configuration. Ones of the plurality of device contact points of the second integrated circuit chip are coupled to ones of the plurality of device contact points of the first integrated circuit chip. The second integrated circuit chip is smaller than the first integrated circuit chip from a plan view perspective.

Abstract: The present disclosure relates to a series of tricyclic compounds, their tautomers, polymorphs, stereoisomers, prodrugs, solvates, pharmaceutically acceptable salts, pharmaceutical compositions containing them and methods of treating conditions and diseases that are mediated by adenosine receptor (AR) activity. The disclosure also relates to process of preparation of these tricyclic compounds of Formula I. These compounds are useful in the treatment, prevention or suppression of diseases and disorders that may be susceptible to improvement by antagonism of the adenosine receptor. The disclosure also relates to the process of preparation of the tricyclic compounds, and to pharmaceutical compositions containing them.

Abstract: The present teaching relates to method and system for evaluating a conversion. The method extracts meta-information including a conversion parameter and a reward. The meta-information corresponds to a conversion associated with an advertisement displayed previously by a plurality of entities. The method receives a plurality of claims for the conversion from one or more entities, and selects a claim corresponding to an entity from the plurality of claims based on the conversion parameter and information included in the plurality of claims. Further, the method transmits information related to the selected claim.

Abstract: Devices, systems, and methods for providing predictive analytics of fire systems are described herein. One fire system maintenance system, includes fire system detectors, a fire system control panel, and a gateway device positioned within the facility and in communication with at least one of the fire system control panel or fire system detectors, the gateway having instructions to: collect fire system device health data associated with one or more fire or smoke detector devices and to send this fire system device health data to a remote device; the remote device having instructions to: analyze the collected fire system device health data to predict if the data contains any anomalies or deviations from an expected behavior; and a fire system maintenance solution application that identifies a nearest scheduled maintenance visit and associates a service item with the scheduled maintenance visit.

Abstract: A system and method enabling the seamless transition between viewing a recorded portion of a program and rejoining a live stream of that program. The system and method enable the rapid provision of live-streamed content upon the exhaustion of the playback of recorded content. This achieved by utilizing a universal resource locator associated with the source of the content.

Abstract: A control system of a farming machine is configured to identify obstruction in a field from image data of the field. The control system accesses an obstruction model configured to identify obstructions in a field from image data of the field. The obstruction model is generated by accessing image data of obstructions in a training field, each obstruction corresponding to a prescribed action occurring at a prescribed time, labelling the image data of the obstructions, and training the obstruction model based on the labelled image data. The control system captures image data of the field including an obstruction and inputs the image data into the obstruction model. Responsive to identifying the obstruction in the field, the control system modifies treatment instructions of the farming machine such that the farming machine performs a implements a farming objective while avoiding the obstruction in the field.

Abstract: Systems and methods are provided for implementing an adaptive machine learning platform for security penetration and risk assessment. For example, the system can receive publicly-available information associated with a client computer system, process the information to identify an input feature, and implement a machine learning model to identify the corresponding risk associated with the input feature. The system can recommend a penetration test for discovered weaknesses associated with the input feature and help make changes to the client computer system to improve security and reduce risk overall.

Abstract: A device includes an image formation medium supply, a first portion, and a second portion. The image formation medium supply is to supply a non-absorptive, image formation medium along a travel path and to which a ground element is to be electrically connected. The first portion along the travel path is to receive droplets of ink particles and a non-aqueous resin within a dielectric, non-aqueous carrier fluid on the image formation medium to form at least a portion of an image on the image formation medium. The second portion is downstream from the first portion and is to apply, via heat and pressure, a second polymer structure onto the ink particles, the resin, and the image formation medium to produce an image formation medium assembly.

Abstract: The present disclosure provides an aerosol delivery device. In various implementations, the aerosol delivery device comprises a control body having an outer housing, an electrical energy source located within the housing, a control component operatively connected to the electrical energy source, a heating assembly operatively connected to the control component, and an aerosol source member that includes an aerosol generating component configured to be positioned proximate the heating assembly. The heating assembly comprises a series of heating members, and each heating member is independent and distinct and configured to heat a segment of the aerosol source member.

Abstract: A method for performing an inference includes: detecting a context among at least one context associated with at least one application; triggering a model execution command to a smart agent of an electronic device, based on the detected context; loading a machine learning (ML) model into a secure storage of the electronic device, based on the detected context and the triggered model execution command; generating, using the loaded ML model, an inference, based on data associated with the detected context; and sharing the generated inference with each application of the at least one application that is registered for the detected context.

Abstract: The present solution provides a digital first responder cut loop. The present solution can include a system comprising a control unit executing instructions and configured to generate a signal through a harness of an electric vehicle. The signal can be indicative of a state of a cut loop of the electric vehicle. The control unit can be electrically connected to restraint control module and a battery pack associated with the electric vehicle. The controller can be configured to detect an event associated with the vehicle or a change in the signal above a threshold level. The controller can be configured to, responsive to the detection of one of the event or the change in the signal, facilitate electrical disconnection of the restraint control module of the electric vehicle or the battery pack of the electric vehicle.

Abstract: An apparatus is provided. The apparatus comprises interface circuitry, machine-readable instructions, and processing circuitry to execute the machine-readable instructions to receive a request from a virtual machine to execute a task, receive a service-level agreement, SLA, from the virtual machine indicating a desired feature of scanning a computing resource to execute the task for errors, and scan the computing resource for errors based on the SLA.

Abstract: Data indicative of one or more user inputs directed to a user interface of a conversation designer tool is received. A conversation design is determined based on the data. The conversation design enables a conversation bot to provide a service using a conversation flow specified at least in part by the conversation design. The conversation design specifies in a first human language at least a portion of a message content to be provided by the conversation bot during an execution of the conversation flow. It is identified that an end-user of the conversation bot prefers to converse in a second human language different from the first human language. The message content of the conversation design in the first human language is dynamically translated for the end-user to the second human language.

Abstract: Methods, systems, and devices for wireless communications are described. A first device may receive signaling associated with a traffic class from a second device. The first device may determine that the traffic class is included in a set of known traffic classes based on a set of features associated with the signaling. In response to determining that the traffic class is included in the set of known traffic classes, the first device may use a machine learning model to obtain a prediction of an application associated with the signaling. The prediction may be based on the set of features. The machine learning model may be trained at the first device or the second device. The first device may receive information associated with the machine learning model from the second device.