Abstract: A network computer system and method are provided in which each user of a group of users is monitored during a respective online session where the user performs a sequence of M activities, to selectively engage users of the group. A determination is made as to the impact of friction for each user of the group of users with respect to an intention of the respective user, and an action is performed for the user based at least in part on the determined impact of friction.

Abstract: A method for controlling a plurality of mobile robots is to be implemented by a server that communicates with the plurality of mobile robots and a communication device. The server stores a predetermined working route related to a target area. The method includes steps of: receiving a working instruction from the communication device, the working instruction including area information related to the target area and an input quantity of mobile robots; in response to receipt of the working instruction, dividing the predetermined working route into a plurality of sub-routes, wherein a quantity of the sub-routes equals the input quantity of mobile robots; and sending the sub-routes respectively to a plurality of selected robots that are selected from among the plurality of mobile robots to make the selected robots cooperatively implement a task on the target area by moving along the sub-routes, respectively.

Abstract: A speech video generation device according to an embodiment includes a first encoder, which receives an input of a person background image that is a video part in a speech video of a predetermined person, and extracts an image feature vector from the person background image, a second encoder, which receives an input of a speech audio signal that is an audio part in the speech video, and extracts a voice feature vector from the speech audio signal, a combining unit, which generates a combined vector by combining the image feature vector output from the first encoder and the voice feature vector output from the second encoder, a first decoder, which reconstructs the speech video of the person using the combined vector as an input, and a second decoder, which predicts a landmark of the speech video using the combined vector as an input.

Abstract: Technical solutions are directed to creation and deployment of multi-stage test problems. A processor can provide, to a client, a first data structure for a first stage of a multi-stage test problem including a description for generation of a client solution for the first stage and a test case to evaluate the client solution. The processor can receive, from the client, a client data structure comprising the client solution including a client computer code generated at the client for the first stage. The processor can determine, by evaluating the client solution using an input value and an output value of the test case, that the output of the client solution satisfies a validity condition of the output value. The processor can provide, to the client, based on satisfying the validity condition, a second data structures for a second stage of the multi-stage test problem.

Abstract: An air lubrication nozzle system. The air lubrication nozzle system includes an open cavity configured to receive a gaseous flow from a gaseous supply. The open cavity has an open bottom area flush with a plane of a bottom surface of a marine vessel in which said open cavity is installed. The system also includes a flap mount configured to affix to a front side wall of said open cavity. The flap mount includes an aerodynamically concave-curved upper surface, rear flap engagement area, and bottom surface substantially flush with the plane of a bottom surface of a marine vessel. The system also provides a flap engaged with the flap mount, whereby once engaged, the flap creates an openable flap.

Abstract: A system, method, device, and platform for tokenizing an event. An event marked as important is received. Information associated with the event is automatically documented. The event and the information associated with the event are tokenized. One or more tokens associated with the event are communicated.

Abstract: Systems and methods to cause annotation transfers between client computing platforms are disclosed. Exemplary implementations may: manage user account information within user accounts associated with users; authenticate a first device and a second device to a first user account based on first login information; receive, via a network from the first device, a first annotation; transmit, to the second device responsive to receipt of the first annotation, a transfer indication that the first annotation is to be inserted into a document being presented via the second device; receive, responsive to the transfer indication, a point of insertion within the document; effectuate, via the first device, presentation of a completion request to complete the insertion; receive, from the first device responsive to presentation of the completion request, a completion indication to cause the first annotation to be inserted; effectuate, responsive to reception of the completion indication, insertion of the first annotation.

Abstract: Various embodiments provide for clock signal distribution within a processor, such as a machine learning (ML) processor, using a photonic fabric.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining drone-based water measurements. One of the methods includes receiving, by a drone management system that controls a drone that is configured to collect water samples, data from a simulator that generates simulation data associated with a body of water; receiving, by the drone management system, an indication that the drone is available to collect one or more water samples from the body of water; determining, by the drone management system and based on the data from the simulator, one or more locations associated with the body of water at which the drone is to collect one or more respective water samples; and; transmitting, by the drone management system, the one or more locations associated with the body of water to the drone.

Abstract: Systems and methods to translate a spoken command to a selection sequence are disclosed. Exemplary implementations may: obtain audio information representing sounds captured by a client computing platform; analyze the sounds to determine spoken terms; determine whether the spoken terms include one or more of the terms that are correlated with the commands; responsive to determining that the spoken terms are terms that are correlated with a particular command stored in the electronic storage, perform a set of operations that correspond to the particular command; responsive to determine that the spoken terms are not the terms correlated with the commands stored in the electronic storage, determining a selection sequence that causes a result subsequent to the analysis of the sounds; correlate the spoken terms with the selection sequence; store the correlation of the spoken terms with the selection sequence; and perform the selection sequence to cause the result.

Abstract: Electro-photonic networks, including a plurality of processing elements connected by bidirectional photonic channels, suited for implementing neural-network models. Weights of the model may be preloaded into memory of the processing elements based on assignments of neural nodes to processing elements implementing them, and routers of the processing elements can be configured to stream activations between the processing elements based on a predetermined flow of activations in the model.

Abstract: A sensor positioning system, includes an actuation server for communicating with components of the sensor positioning system. The sensor positioning system additionally includes a first actuation system and a second actuation system, wherein each actuation system includes a pulley system for maneuvering an underwater sensor system. The sensor positioning system includes a dual point attachment bracket that connects through a first line to the first actuation system and connecting through a second line to the second actuation system. The underwater sensor system is affixed to the first pulley system, the second pulley system, and the dual attachment bracket through the first line and the second line.

Abstract: This disclosure provides methods for providing information about a person based on facial recognition and various applications thereof, including face-based check-in, face-based personal identification, face-based identification verification, face-based background checks, facial data collaborative network, correlative face search, and personal face-based identification. The disclosed methods are able to provide accurate information about a person in a real-time manner.

Abstract: The technical solutions described herein are systems and methods for multi-mode image capture device operation. The system can obtain, from a first image capture device in accordance with a first mode, a first set of images corresponding to a first range of angles about an axis. The system can obtain, from a second image capture device in accordance with the first mode, a second set of images corresponding to a second range of angles about the axis. The system can cause, responsive to an interruption of the first mode, the second image capture device to obtain a third set of images corresponding to the first range of angles about the axis in accordance with a second mode.

Abstract: The present invention is for systems and methods for providing industry specific contract analysis in order to provide legal education associated with potential concerns with the provisions of said contract. Through the use of an AI model(s) trained to evaluate contracts documents from the same perspective as an experienced attorney would actually review such contracts, issues of varying significance can be identified and brought to the attention of parties, generally those lacking the legal expertise to spot such issues themselves.

Abstract: Systems and methods to improve automatic speech recognition of audio data are disclosed. Exemplary implementations may: process a first noisy audio data from a set of the noisy audio data, with a generator, to generate first refined audio data; process the first refined audio data and a first comprehensible audio data from a set of the comprehensible audio data, individually with a discriminator, to determine individual decision values; determine a generator update and a discriminator update based on the individual decision values; apply the generator update to the generator such that the generator is modified to improve generation of refined audio data or is not modified; and apply the discriminator update to the discriminator such that the discriminator is modified to improve subsequent determinations of the decision values or is not modified.

Abstract: The present disclosure provides systems and methods that may advantageously apply machine learning to accurately manage and predict inventory variables with future uncertainty. In an aspect, the present disclosure provides a system that can receive an inventory dataset comprising a plurality of inventory variables that indicate at least historical (i) inventory levels, (ii) inventory holding costs, (iii) supplier orders, and/or (iv) lead times overtime. The plurality of inventory variables can be characterized by having one or more future uncertainty levels. The system can process the inventory dataset using a trained machine learning model to generate a prediction of the plurality inventory variables. The system can provide the processed in inventory dataset to an optimization algorithm. The optimization algorithm can be used to predict a target inventory level for optimizing an inventory holding cost. The optimization algorithm can comprise one or more constraint conditions.

Abstract: A reference marker for imaging procedures includes a marker body having an exterior profile within a three-dimensional space as measured along three axes, wherein the exterior profile of the marker body is not symmetric relative to any two of the three axes. Also disclosed is an anchor for securing the reference marker in place. The anchor includes an anchor shaft and a plurality of attachment features disposed along the anchor shaft between first and second ends thereof, wherein each respective attachment feature provides a point of attachment to the anchor shaft at a different respective length relative to one of the first or second ends.

Abstract: A system and method combine optical and radiographic data to enhance imaging capabilities. Specifically, the system combines visually obtained patient pose position information and radiographic image information to facilitate calibrated surgical navigation. A reconstruction of a 3D CT volume is generated from biplanar X-ray projections which are back projected into two separate volumes and then concatenated into a single volume along a new dimension and passed through a pretrained deep learning model to decode the concatenated volume into a single 3D volume.

Abstract: A calibration target for use with a radiographic image detector includes a target body securable to the image detector and a plurality of radiopaque linear markers, e.g. wires, fixed to the target body, wherein access to the image detector by incident radiation is at least partially blocked by the plurality of linear markers. By using the geometric properties of wires and advanced detection techniques, a precise calibration suitable for high-quality, volumetric three-dimensional CT reconstruction from biplanar X-ray images is achieved.