Abstract: The present disclosure relates to fluoride ion batteries and structures of metal based electrode materials for various fluoride ion batteries. The structures of the metal based electrode materials comprise one or more shells or interfaces, enabling the electrodes to operate at room temperature with a liquid electrolyte.

Abstract: The invention relates to methods and kits for use in nucleic acid sequencing, in particular methods for use in concurrent sequencing, including concurrent sequencing of tandem insert libraries. Further, the invention relates to methods of detecting mismatched base pairs in nucleic acid sequences. In another embodiment, the disclosed technology relates to using next generation sequencing to determine the nucleotide sequences of two or more polynucleotide sequence portions in a single sequencing run.

Abstract: Methods and systems provide for deal forecasting within a communication platform. In one embodiment, the system processes a communication session to provide analytics data for the session; receives internal data associated with a user of a communication platform pertaining to a deal, the internal data including internal analytics data for the deal derived from the communication session and one or more additional communication sessions; receives, from a CRM platform, updated CRM data pertaining to the deal; ingests the internal data and the updated CRM data into a standardized data repository; determines, via a model trained on the standardized internal data and updated CRM data, an outcome prediction for the deal; and provides, to one or more client devices, access to a presentation of the outcome prediction for the deal.

Abstract: A system of object detection for a trailer. In one example, the system includes a camera configured to capture images of the trailer, where the images include an object other than the trailer. The system also includes a sensor configured to capture sensor data, a display configured to display images from the perspective of the camera, and a controller on the vehicle. The controller includes an electronic processor configured to receive the image data from the camera, receive the sensor data from the sensor, determine a blind spot, analyze the sensor data for radar data associated with the object, calculate the position of the object relative to the blind spot and the trailer, determine that the object is within the blind spot using an object detection algorithm, and in response to the determining that the object is within the blind spot, generate an augmented image.

Abstract: Documents and other process area events in an Enterprise Resource Planning (ERP) system are extracted according to a knowledge table. The extracted events are stitched together in a timeline order, placed in a transport container (or otherwise transmitted), and input to, for example, a process mining or process intelligence tool. The tool utilizes any of AI, Machine learning, or other techniques to evaluate processes and/or documents represented by the extracted events, and triggering alerts or messages based on the evaluation. The tool may be a task mining tool and/or provide information or suggestions for improving the document or process represented by the document(s) and may prepare and display (or provide for display) a visual model of the evaluated process or document and may highlight anomalies therein.

Abstract: In some aspects, a computing system can generate and optimize a machine learning model to estimate an unobservable capacity of a target system or entity. The computing system can access training vectors which include training predictor variables, training performance indicators, and task quantities. A training performance indicator indicating performance outcome corresponding to the predictor variables and a task quantity associated with a task assigned to the target entity that leads to the training performance indicator. The machine learning model can be trained by performing adjustments of parameters of the machine learning model to minimize a loss function defined based on the training vectors. The trained machine learning model can be used to estimate the capacity of the target system or entity for handling tasks and be used in assigning tasks to the target entity according to the determined capacity.

Abstract: The present invention provides compositions comprising peptide-coupled biodegradable poly(lactide-co-glycolide) (PLG) particles. In particular, PLG particles are surface-functionalized to allow for coupling of peptide molecules to the surface of the particles (e.g., for use in eliciting induction of immunological tolerance).

Abstract: The present invention relates to sulfonylureas and sulfonylthioureas comprising a 5-membered heteroaryl group substituted with a monovalent heteroaryl-containing group. The present invention further relates to salts, solvates and prodrugs of such compounds, to pharmaceutical compositions comprising such compounds, and to the use of such compounds in the treatment and prevention of medical disorders and diseases, most especially by the inhibition of NLRP3.

Abstract: Various aspects involve explainable machine learning based on time-series transformation. For instance, a computing system accesses time-series data of a predictor variable associated with a target entity. The computing system generates a first set of transformed time-series data instances by applying a first family of transformations on the time-series data. Any non-negative linear combination of the first family of transformations forms an interpretable transformation of the time-series data. The computing system determines a risk indicator for the target entity indicating a level of risk associated with the target entity by inputting the first set of transformed time-series data instances into a machine learning model. The computing system transmits, to a remote computing device, a responsive message including the risk indicator. The risk indicator is usable for controlling access to one or more interactive computing environments by the target entity.

Abstract: A deformable mirror is provided that can include a mirror assembly having a reflective face sheet with a reflective surface on a front side of the reflective face sheet. The mirror assembly can also comprise one or more ferrous materials positioned within and making up or forming, in part, the mirror assembly. The deformable mirror can also include one or more electromagnets operable to generate a magnetic field that acts on the ferrous materials to deform the reflective face sheet.

Abstract: A cloud-based industrial data services (IDS) architecture leverage smart tags, asset models, and data service applications to facilitate secure transaction and exchange of contextualized factory data between different parties as part of a combined technology and commerce platform, or to perform provide asset owners with insights into operation of their industrial assets. The IDS platform supports a set of services that connect providers of smart industrial devices to plant floor and systems owned by the end users of these devices. The cloud-based platform allows asset providers to publish data service applications for purchase and use by end users of their assets, and allows equipment owners to control remote access to selected sets of their industrial data via the cloud platform.

Abstract: Disclosed herein are techniques for implementing high-throughput low-latency hybrid memory modules with improved data backup and restore throughput, enhanced non-volatile memory controller (NVC) resource access, and enhanced mode register setting programmability. Embodiments comprise a command replicator to generate sequences of one or more DRAM read and/or write and/or other commands to be executed in response to certain local commands from a non-volatile memory controller (NVC) during data backup and data restore operations. Other embodiments comprise an access engine to enable an NVC in a host control mode to trigger entry into a special mode and issue commands to access a protected register space. Some embodiments comprise a mode register controller to capture and store the data comprising mode register setting commands issued during a host control mode, such that an NVC can program the DRAM mode registers in an NVC control mode.

Abstract: The present invention provides compositions comprising peptide-coupled biodegradable poly(lactide-co-glycolide) (PLG) particles. In particular, PLG particles are surface-functionalized to allow for coupling of peptide molecules to the surface of the particles (e.g., for use in eliciting induction of immunological tolerance).

Abstract: Provided herein are fluorescent dyes possessing abroad range of silyl modifications, which can be used, for example, for enabling brighter dyes, red-shifting of fluorescence, and as handles, e.g., for the introduction of sensors and/or targeting groups, including no-wash fluorogenic labeling agents for nuclear DNA, SnapTag® proteins, and HaloTag® proteins. The fluorescent dyes have the following structure: or a tautomer thereof, or a salt of the foregoing, wherein values for the variables (e.g., X, Z1, Z2, R3, R6, R7, R11) are as described herein.

Abstract: A system and method for operating a rotatable knob module with adjustable tactile feedback. The rotatable knob module includes a knob configured to continuously rotate about a center axis and an electronic processor. The electronic processor is configured to determine a current trailer angle, define a virtual center position of the knob based on the current trailer angle, and adjust a rotational torque of the knob when the knob is rotated from a first rotational position to a second rotational position based on a relative virtual rotational distance of the second rotational position from the virtual center position.

Abstract: Techniques are described herein for applying natural language processing (NLP) techniques to time series data to derive attributes of an object for use with a machine-learning model. In one example, a system can receive a time series associated with an object over a time window, where the time series includes a set of discrete values. The system can then generate a time series encoding based on the time series. The system can provide the time series encoding as input to a trained natural language processing (NLP) model, which can generate one or more output embeddings based on the time series encoding. Next, the system can determine at least one attribute associated with the object based on the one or more output embeddings. The system can then provide the attributes for use with a machine-learning model, which may for example be configured to predict a future characteristic of the object.

Abstract: Systems and methods for automated path-based recommendation for risk mitigation are provided. An entity assessment server, responsive to a request for a recommendation for modifying a current risk assessment score of an entity to a target risk assessment score, accesses an input attribute vector for the entity and clusters of entities defined by historical attribute vectors. The entity assessment server assigns the input attribute vector to a particular cluster and determines a requirement on movement from a first point to a second point in a multi-dimensional space based on the statistics computed from the particular cluster. The first point corresponds to the current risk assessment score and the second point corresponds to the target risk assessment score. The entity assessment server computes an attribute-change vector so that a path defined by the attribute-change vector complies with the requirement and generates the recommendation from the attribute-change vector.

Abstract: A trailer tow assist system including a camera that captures a rearward image of the trailer and its surroundings, a human machine interface that displays the rearward image, an input device that receives user input, and an electronic processor. The electronic processor receives the rearward image, identifies a target-space within the surroundings, determines a vehicle orientation relative to the target-space, determines a trailer angle relative to the vehicle, determines a trailer trajectory within the surroundings, and displays the trailer trajectory and rearward image on the human machine interface. The electronic processor also controls, in response to the user input, the vehicle to follow the trailer trajectory along a centerline of the trailer trajectory.

Abstract: Systems and computer-implemented methods for generating and transmitting transaction requests are provided herein. The system includes a sender device that generates an audio signal encoding a package associated with the transaction request, and a receiver device that receives the audio signal and decodes the audio signal with an application to access the transaction request.

Abstract: Embodiments relate to a computer-implemented method for generating a cryptographic key for a user. A user signal associated with the user is input to a machine learning model. The machine learning model has multiple layers and the applied input generates outputs at each of these layers. A vector is extracted from one or more outputs of one or more layers of the machine learning model. A cryptographic key is generated from the vector. The same cryptographic key is generated for different vectors produced by different variations of the user signal from the same user, but different cryptographic keys are generated for user signals from different users. The cryptographic key may be used for various purposes, including authenticating the user, encrypting/decrypting data, and controlling access to resources.