Abstract: In an approach to CRAI and risk framework for manufacturing applications, a computer-implemented method for causal effect prediction includes identifying, by one or more computer processors, an intervention, where the intervention is selected from the group consisting of threats, failures, corrections, and relevant outputs; collecting, by the one or more computer processors, process dependency data; creating, by the one or more computer processors, an intervention model; combining, by the one or more computer processors, the process dependency data and the intervention model to create a combined process dependency graph; training, by the one or more computer processors, a causal relational artificial intelligence (CRAI) model; and determining, by the one or more computer processors, an estimate of an intervention efficacy.

Abstract: A portable filtration system is described. The system may comprise: a mixing portion, comprising: a pump adaptor and a contaminant regulator. The pump adaptor may comprise: an upper plate, a lower plate, and a screen. The screen may axially extend between the upper and lower plates, wherein the upper plate, the lower plate, and the screen define a channel of a mixing chamber. The contaminant regulator may comprise a through-passage coupled to the upper plate, wherein the through-passage is in fluid communication with the mixing chamber.

Abstract: According to one embodiment, a method, computer system, and computer program product for identifying induced deformation of a 3D object is provided. The embodiment may include receiving an unaltered three-dimensional (3D) rendering of an object and attribute information of the object. The embodiment may include identifying one or more influencing factors of forecasted local deformation of one or more portions of the 3D rendering based on the attribute information. The embodiment may include creating, via a generative adversarial network (GAN), a 3D rendering of the object showing the forecasted local deformation. The embodiment may include identifying induced deformation of one or more other portions of the 3D rendering caused by the forecasted local deformation. The embodiment may include creating, via the GAN, a 3D rendering of the object showing the identified induced deformation.

Abstract: A computer-implemented method for assessing a robustness of a smoothed classifier for classifying sensor signals received from a sensor. The method includes: providing an input signal depending on the sensor signal, determining, by the smoothed classifier, a first value which characterizes a probability that the input signal, when subjected to noise will be classified as belonging to a first class, wherein the first class is a most probable class, determining, by the smoothed classifier, a second value which characterizes a probability that the input signal, when subjected to the noise, will be classified as belonging to a second class, wherein the second class is a second-most probable class, determining a robustness value on a first inverse value of a standard Gaussian cumulative distribution function at the first value and/or depending on a second inverse value of the standard Gaussian cumulative distribution function at the second value.

Abstract: Methods for filling gaps with dielectric material involve deposition using an atomic layer deposition (ALD) technique to fill a gap followed by deposition of a cap layer on the filled gap by a chemical vapor deposition (CVD) technique. The ALD deposition may be a plasma-enhanced ALD (PEALD) or thermal ALD (tALD) deposition. The CVD deposition may be plasma-enhanced CVD (PECVD) or thermal CVD (tCVD) deposition. In some embodiments, the CVD deposition is performed in the same chamber as the ALD deposition without intervening process operations. This in-situ deposition of the cap layer results in a high throughput process with high uniformity. After the process, the wafer is ready for chemical-mechanical planarization (CMP) in some embodiments.

Abstract: An electronic substrate may be fabricated having at least two glass layers separated by an etch stop layer, wherein a bridge is embedded within one of the glass layers. The depth of a cavity formed for embedding the bridge is control by the thickness of the glass layer rather than by controlling the etching process used to form the cavity, which allows for greater precision in the fabrication of the electronic substrate. In an embodiment of the present description, an integrated circuit package may be formed with the electronic substrate, wherein at least two integrated circuit devices may be attached to the electronic substrate, such that the bridge provides device-to-device interconnection between the at least two integrated circuit devices. In a further embodiment, the integrated circuit package may be electrically attached to an electronic board.

Abstract: A brake system for a vehicle is configured to mix a brake request signal corresponding to a level of a brake request with a variable frequency and a variable amplitude (e.g. torque tickle) when generating a signal for controlling a brake. The brake system comprises: one or more brakes configured to apply braking to one or more vehicle wheels; memory; and a processor configured to mix a brake request signal corresponding to a level of a brake request with a variable frequency and a variable amplitude to generate a signal for controlling the one or more brakes, wherein the variable frequency is retrieved from one or more predetermined frequencies stored in the memory, and the variable amplitude is calculated based on the level of the brake request.

Abstract: Logic may adjust communications between customers. Logic may cluster customers into a first group associated with a first subset of synonyms and a second group associated with a second subset of the synonyms. Logic may associate a first tag with the first group and with each of the synonyms of the first subset. Logic may associate a second tag with the second group and with each of the synonyms of the second subset. Logic may associate one or more models with pairs of the groups. A first pair may comprise the first group and the second group. The first model associated with the first pair may adjust words in communications between the first group and the second group, based on the synonyms associated with the first pair, by replacement of words in a communication between customers of the first subset and customers of the second subset.

Abstract: A launch control technique for a vehicle having a torque generating system comprises displaying, via a user interface, information relating to a set of launch torque curves, each launch torque curve defining how the torque generating system is to generate drive torque during a period, receiving, via the user interface, a driver-selection of one of the set of launch torque curves to obtain a driver-selected launch torque curve, detecting a set of launch conditions comprising one or more vehicle operating conditions indicative of a launch of the vehicle, detecting a launch request in response to an accelerator pedal of the vehicle being depressed, and controlling the launch of the vehicle by performing open-loop control of the drive torque generated by the torque generating system according to the driver-selected launch torque curve and irrespective of wheel slip of the vehicle.

Abstract: Systems as described herein may include detecting live browser information that a user navigates to a first website displayed in a first open browser tab and a second website displayed in a second open browser tab. A data sharing server may provide the live browser information to a machine learning model as input. Based on feedback from the machine learning model, one or more similar products displayed in the first website and the second website may be determined. The data sharing server may detect an update on the one or more similar products, and cause a user device to display an alert indicating the update on the similar products.

Abstract: Materials and methods for testing unknown substances for the presence of an opioid are described.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: Systems and techniques for determining a sideslip vector for a vehicle that may have a direction that is different from that of a heading vector for the vehicle. The sideslip vector in a current vehicle state and sideslip vectors in predicted vehicles states may be used to determine paths for a vehicle through an environment and trajectories for controlling the vehicle through the environment. The sideslip vector may be based on a vehicle position that is the center point of the wheelbase of the vehicle and may include lateral velocity, facilitating the control of four-wheel steered vehicle while maintaining the ability to control two-wheel steered vehicles.

Abstract: In an approach to non-destructive inspection of IC devices, one or more images of a Device Under Test (DUT) are received from one or more imaging devices. Observed features are detected in the one or more images and producing a first synthetic representation of a part design of the DUT that includes the observed features. The presence of one or more first unobserved features are inferred, where the one or more first unobserved features are inferred using a mapping and inference model (MIM). The one or more first unobserved features are added to the first synthetic representation of the part design of the DUT.

Abstract: Techniques to improve detection and security of images, including formation and detection of matrix-based images. A histogram may be used to determine a most prevalent color of a plurality of prevalent colors associated with an environment. A related plurality of colors may be determined based on the most prevalent plurality of colors and a colorspace conversion. A matrix barcode may be generated based on the related plurality of colors and an ultraviolet layer.

Abstract: Systems and methods are provided for assembling an aircraft. The method includes receiving an upper half barrel section of fuselage that is in a crown up orientation and installing a crown module into the upper half barrel section.

Abstract: A sole structure for an article of footwear includes a midsole having a footbed extending from a first end to a second end disposed at an opposite end of the midsole than the first end, a first flange extending in a first direction from the first end of the footbed to a first distal end and a second flange extending in a second direction from the second end of the footbed to a second distal end, and an outsole disposed on an opposite side of the midsole than the footbed and extending from the first distal end through a mid-foot region, the outsole including a greater rigidity than the midsole.

Abstract: A method, computer system, and a computer program product for securing transportation of Items. In one embodiment, packaging particulars may be determined including packaging configuration and materials. At least a sensor may be embedded when packaging the Item. The sensor type and location may be selected by a processor. The Sensor(s) may be selected to monitor changes to the condition of the Item during the transportation. Sensor data may be monitored and any risk to the Item during the transportation may be mitigated. In one embodiment, when a risk has been determined, an alert may be provided such as to a person or an IoT enabled device to mitigate the risk.