Abstract: Embodiments herein describe techniques for a semiconductor device including a substrate. A first capacitor includes a first top plate and a first bottom plate above the substrate. The first top plate is coupled to a first metal electrode within an inter-level dielectric (ILD) layer to access the first capacitor. A second capacitor includes a second top plate and a second bottom plate, where the second top plate is coupled to a second metal electrode within the ILD layer to access the second capacitor. The second metal electrode is disjoint from the first metal electrode. The first capacitor is accessed through the first metal electrode without accessing the second capacitor through the second metal electrode. Other embodiments may be described and/or claimed.

Abstract: An embodiment for controlling a boundary of an AI system based on an environmental context is provided. The embodiment may include receiving data input from one or more sources. The embodiment may also include identifying one or more contextual situations in a surrounding environment. The embodiment may further include identifying one or more input data collection boundaries and a span of control boundary for an AI-enabled device. The embodiment may also include connecting the AI-enabled device to one or more data generation modules within the one or more input data collection boundaries. The embodiment may further include in response to determining none of the one or more data generation modules are unable to connect, identifying an action to be performed by the AI-enabled device. The embodiment may also include executing the action in a first set of one or more machines within the span of control boundary.

Abstract: Techniques for predictive disease identification using simulations improved via machine learning. A method includes applying at least one machine learning model to features extracted from data including animal characteristics data of an animal, wherein outputs of the at least one machine learning model include a plurality of disease predictor values, wherein each disease predictor value corresponds to a respective disease type of a plurality of disease types, wherein each disease type of the plurality of disease types corresponds to a predetermined group of diseases; generating disease contraction statistics based on the outputs of the at least one machine learning model; and determining, based on the disease contraction statistics, at least one disease prediction for the animal.

Abstract: Methods, computing systems, and computer-readable storage media are provided for automatic on-cloud integrated validations for client customizations. According to the methods, a first entity provides a hosted environment in a cloud. The hosted environment hosts a pre-release version of software. The hosted environment receives customizations to the pre-release version of the software. The customizations replace one or more submodules of the pre-release version of the software with a customized version of the one or more submodules, or add one or more new submodules to the customized version of the software. The pre-release version of the software is validated, via an automated test procedure, as being compatible with the customizations.

Abstract: A growth predictor includes a monitor, a prediction engine, and a prioritization engine. The monitor receives or generates first information of a network already identified as a candidate money laundering (ML) network by an anti-money-laundering system. The prediction engine predicts second information indicative of a growth size of the ML network at a future time based on the first information. The prediction engine executes one or more predictive models to generate the second information indicative of growth size based on the first information, which indicates one or more changes that have occurred in the candidate ML network over a past period of time. The prioritization engine determines a priority of the candidate ML network based on the second information.

Abstract: Methods and systems for wireless communication are provided. In one example, a mobile device is configured to: obtain beam support information of a plurality of cells; perform measurements of one or more signals at the mobile device based on the beam support information of the plurality of cells to support a location determination operation for the mobile device; and transmit results of the measurements of the one or more signals to at least one of a location server or to a base station to support the location determination operation. The beam support information may include: a number of beams supported at each cell of the plurality of cells, information to identify each beam of the number of beams supported at the each cell, beam width information of the each beam, and/or Positioning reference Signals (PRS) codebook information which encapsulates the beams which are enabled along various elevation and azimuth angles.

Abstract: Techniques are disclosed for providing a native general-purpose controller for reconciling desired states for resources across a plurality of clusters in a cloud computing environment. An indication is received of one or more custom resources of the cloud computing environment. An API is instantiated at each of the clusters that are to be accessed. In response to receiving an indication that a desired state of one of the objects does not match a current state of the one object, a message is sent that indicates an action to reconcile the desired state with the current state. A message is received that indicates that the action to reconcile the desired state with the current state has been completed.

Abstract: Implementations described herein relate to run-time management of a serverless function in a serverless computing environment. In some implementations, a method includes receiving, at a processor, based on historical run-time invocation data for the serverless function in the serverless computing environment, a first number of expected invocations of the serverless function for a first time period, determining, by the processor, based on the first number of expected invocations of the serverless function for the first time period, a second number of warm-up invocation calls to be made for the first time period, and periodically invoking the second number of instances of an extended version of the serverless function during the first time period, wherein the extended version of the serverless function is configured to load and initialize the serverless function and terminate without executing the serverless function.

Abstract: Techniques for providing photography assistance include: determining a location of a mobile device; determining one or more object of interest (OOI) based on the location of the mobile device; obtaining a set of photographs associated with the one or more OOI; presenting the set of photographs associated with the OOI on a display of the mobile device; and in response to a selection of at least one photograph from the list of photographs, providing directional guidance via one or more user interface of the mobile device, wherein the directional guidance includes directions to reach a particular location associated with the selected at least one photograph.

Abstract: The present disclosure describes an organic-inorganic metal-halide-based semiconducting material that melts at lower temperatures compared to conventional inorganic semiconductors. The hybrid material is structurally engineered to easily access both crystalline and amorphous glassy states, with each state offering distinct physical properties.

Abstract: The embodiments of the present invention disclose synchronization of an online gaming environment with video streaming of at least one live event. A gaming application is configured to be executed on each of a plurality of user devices, simultaneously with the video being streamed. At least one instantaneous question is generated based on at least one action of the live event. Both the video and the instantaneous question are displayed in-sync with the live event video. The server also synchronizes an answer of the at least one instantaneous question with a next instantaneous question and also with the video being streamed, such that the answer, the video, and the next instantaneous question are displayed in-sync on at least one of the plurality of user devices.

Abstract: Indexing a data corpus to a set of multidimensional points, including: generating a set of points in a multidimensional space; identifying, for each sample in a plurality of samples in a data corpus, a nearest point in the set of points; and generating an index mapping each sample with the nearest point in the set of points.

Abstract: An approach for reducing edge computing resources associated with autonomous vehicle infrastructure is disclosed. The approach utilizes digital twin computing to create a digital copy of the autonomous vehicle and edge computing demand. The approach can simulate the entire journey of the autonomous vehicle(s) on a travel path to determine the edge computing resources requirements. And based on the generated data set, the approach provides recommendations of proactive vehicle maintenance plan to improve edge computing capability of the vehicle based on the selected route. Other recommendation can include identifying whether road maintenance is to be performed for optimum usage of edge computing capability.

Abstract: Techniques are provided herein for forming multi-tier memory structures with graded characteristics across different tiers. A given memory structure includes memory cells, with a given memory cell having an access device and a storage device. The access device may include, for example, a thin film transistor (TFT) structure, and the storage device may include a capacitor. Certain geometric or material parameters of the memory structures can be altered in a graded fashion across any number of tiers to compensate for process effects that occur when fabricating a given tier, which also affect any lower tiers. This may be done to more closely match the performance of the memory arrays across each of the tiers.

Abstract: Presenting content history to a user added to a group chat may include: receiving a request from a user to join an existing group chat session, wherein the requesting user is associated with user data describing the requesting user’s persona; performing an analysis of content of the group chat session prior to the requesting user joining the group chat session; and adding the requesting user to the group chat session, including: generating a modified version of the content of the group chat session based on the content analysis and the user data; and presenting the modified version of the content of the group chat session to the requesting user.

Abstract: Techniques are provided for making asymmetric contacts to improve the performance of thin film transistors (TFT) structures. The asymmetry may be with respect to the area of contact interface with the semiconductor region and/or the depth to which the contacts extend into the semiconductor region. According to some embodiments, the TFT structures are used in memory structures arranged in a two-dimensional array within one or more interconnect layers and stacked in a vertical direction such that multiple tiers of memory structure arrays are formed within the interconnect region. Any of the given TFT structures may include asymmetric contacts, such as two contacts that each have a different contact area to a semiconductor region, and/or that extend to different depths within the semiconductor region. The degree of asymmetry may be tuned during fabrication to modulate certain transistor parameters such as, for example, leakage, capacitance, gate control, channel length, or contact resistance.

Abstract: The present disclosure relates to hydrocarbon emission control systems. More specifically, the present disclosure relates to substrates coated with hydrocarbon adsorptive coating compositions and evaporative emission control systems for controlling evaporative emissions of hydrocarbons from motor vehicle engines and fuel systems. The hydrocarbon adsorptive coating compositions include particulate carbon having a BET surface area of at least about 1300 m2/g, and at least one of (i) a butane affinity of greater than 60% at 5% butane; (ii) a butane affinity of greater than 35% at 0.5% butane; (iii) a micropore volume greater than about 0.2 ml/g and a mesopore volume greater than about 0.5 ml/g.

Abstract: A vehicle, electric machine, and stator include stator teeth extending from a yoke portion toward a rotor and defining slots between adjacent teeth with windings positioned within the slots, wherein the teeth form pockets at connections to the yoke portion. Electrically insulating slot paper may line at least three sides of the slots. The pockets may extend into the teeth or the yoke portion where the teeth extend from the yoke portion, and may be filled with an electrically insulating compound that secures the insulating slot paper lining and electrically conductive rectangular windings within the slots.

Abstract: Machine-learning based multi-step engagement strategy modification is described. Rather than rely heavily on human involvement to manage content delivery over the course of a campaign, the described learning-based engagement system modifies a multi-step engagement strategy, originally created by an engagement-system user, by leveraging machine-learning models. In particular, these leveraged machine-learning models are trained using data describing user interactions with delivered content as those interactions occur over the course of the campaign. Initially, the learning-based engagement system obtains a multi-step engagement strategy created by an engagement-system user. As the multi-step engagement strategy is deployed, the learning-based engagement system randomly adjusts aspects of the sequence of deliveries for some users.

Abstract: Various embodiments are disclosed for a machine learning system for automatic genotype selection and performance evaluation using multi-source and spatiotemporal remote sensing data collected from an unmanned aerial system (UAS). A computing device may be configured to access images of a field having a first genotype and a second genotype of at least one crop or plant planted therein. The computing device may apply an image processing routine to the images to analyze the images of the field and determine characteristics of the first genotype and the second genotype of the at least one crop or plant planted in the field. The computing device may then apply a machine learning routine to forecast a first estimated yield of the first genotype and a second estimated yield of the second genotype using the identified characteristics of the first genotype and the second genotype.