Abstract: Embodiments in accordance with the present disclosure are directed to polymer beads and uses thereof, including forming libraries of compounds for screening and assay purposes. An example method includes using logic circuitry to: select a plurality of molecules that include a plurality of subgroups, each of the plurality of molecules exhibiting a mass spectrometry characteristic that is distinguishable from mass spectrometry characteristics of other molecules of the plurality, and assign the plurality of molecules with a position in a sequence of a plurality of synthetic compounds forming a library. The method further includes defining, as data in a memory circuit of the logic circuitry, the plurality of synthetic compounds that are sequenceable via mass spectrometry using the assigned positions of the plurality of molecules for communicating to other circuitry for formation thereof via coupling chemistry or screening of a particular function.

Abstract: A method, apparatus and system for determining user-content associations for determining and providing user-preferred content using multimodal embeddings include creating an embedding space for multimodal content by creating a first modality vector representation of the multimodal content having a first modality, creating a second modality vector representation of the multimodal content having a second modality, creating a user vector representation, as a third modality, for each user associated with at least a portion of the multimodal content, and embedding the first and the second modality vector representations and the user vector representations in the common embedding space using at least a mixture of loss functions for each modality pair of the first, the at least second and the third modalities that pushes closer co-occurring pairs of multimodal content.

Abstract: A conversational assistant for conversational engagement platform can contain various modules including a user-model augmentation module, a dialogue management module, and a user-state analysis input/output module. The dialogue management module receives metrics tied to a user from the other modules to understand a current topic and a user's emotions regarding the current topic from the user-state analysis input/output module and then adapts dialogue from the dialogue management module to the user based on dialogue rules factoring in these different metrics. The dialogue rules also factors in both i) a duration of a conversational engagement with the user and ii) an attempt to maintain a positive experience for the user with the conversational engagement. A flexible ontology relationship representation about the user is built and stores learned metrics about the user over time with each conversational engagement, and then in combination with the dialogue rules, drives the conversations with the user.

Abstract: A speech recognition module receives training data of speech and creates a representation for individual words, non-words, phonemes, and any combination. A set of speech processing detectors analyze the training data of speech from humans communicating. The set of speech processing detectors detect speech parameters that are indicative of paralinguistic effects on top of enunciated words, phonemes, and non-words in the audio stream. One or more machine learning models undergo supervised machine learning on their neural network to train on how to associate one or more mark-up markers with a textual representation, for each individual word, individual non-word, individual phoneme, and any combinations of these, that was enunciated with a particular paralinguistic effect. Each mark-up marker can correspond to its own paralinguistic effect.

Abstract: A variety of transmission mechanisms are provided that include ‘radially inverted’ pulleys that are nested within each other or otherwise overlap in order to exert ‘inward’ forces onto a compressive belt that transmits power between the pulleys. By exerted forces ‘inward’ onto the belt, the belt can be subjected to net compression everywhere along its length. This allows the belt to be less complex and to have a lower cost than belts of transmissions that exert forces ‘outward’ from pulleys onto a belt, thus requiring expensive and technically challenging belt packs or other elements to sustain the longitudinal tensions experienced by such belts, even when such belts are operated as “push” belts. Transmissions that include such ‘radially inverted’ pulleys can exhibit reduced size and cost and increased power capacity compared to transmissions that employ ‘non-radially inverted’ pulleys.

Abstract: A method, apparatus and system for efficient navigation in a navigation space includes determining semantic features and respective 3D positional information of the semantic features for scenes of captured image content and depth-related content in the navigation space, combining information of the determined semantic features of the scene with respective 3D positional information using neural networks to determine an intermediate representation of the scene which provides information regarding positions of the semantic features in the scene and spatial relationships among the semantic features, and using the information regarding the positions of the semantic features and the spatial relationships among the semantic features in a machine learning process to provide at least one of a navigation path in the navigation space, a model of the navigation space, and an explanation of a navigation action by the single, mobile agent in the navigation space.

Abstract: In some examples, a computer-implemented collaboration assessment model identifies actions of each of two or more individuals depicted in video data, identify, based at least on the identified actions of each of the two or more individuals depicted in the video data, first behaviors at a first collaboration assessment level, identify, based at least on the identified actions of each of the two or more individuals depicted in the video data, second behaviors at a second collaboration assessment level different from the first collaboration assessment level, and generate and output, based at least on the first behaviors at the first collaboration assessment level and the second behaviors at the second collaboration assessment level, an indication of at least one of an assessment of a collaboration effort of the two or more individuals or respective assessments of individual contributions of the two or more individuals to the collaboration effort.

Abstract: A photonic neural network device may include a planar waveguide; a layer having a changeable refractive index adjacent to the planar waveguide; and a plurality of electrodes. Each electrode may be electrically coupled to the layer having the changeable refractive index at a corresponding location of the layer having the changeable refractive index. Each electrode may be configured to apply a corresponding, configurable voltage to the corresponding location to affect a refractive index of the corresponding location of the layer having the changeable refractive index to induce an amplitude modulation or a phase modulation of a light waveform propagating through the photonic neural network device to configure a corresponding neuron of the photonic neural network device in order to perform a computation.

Abstract: Multi-segment manipulator arms are provided that exhibit improved performance in space applications, include reduced weight, reduced cost, reduced size, reduced rotational inertia, reduced vibration, improved heat dissipation characteristics, and increased reliability and on-station reparability. These manipulator arms transmit torque from a single motor at the base of the arm to each of the inter-segment joints via serial belts, rotationally linked via pulleys that are coaxial with the inter-segment joints. Brake(s) at each joint allow all but a selected joint to be fixed, allowing motor torque to be transmitted to the un-fixed joint, applying torque and/or rotation to the un-fixed joint. Placing the motor at the base facilitates heat management, reduces overall weight, and reduces total rotational inertia and weight of the arm segments.

Abstract: Processing circuitry is configured to obtain a data structure that defines a plurality of conversions of data between pairs of fields; perform a search to identify a plurality of paths from a source node of the data structure to a destination node of the data structure, wherein the source node corresponds to a first field of the fields and the destination node corresponds to a second field of the fields; convert, for each path of the plurality of paths, transforms represented by corresponding edges of the path to a sequence of transforms that conform to a solver format; process the sequence of transforms for each path to determine whether all paths of the plurality of paths are equivalent up to an equivalence relation; and output an indication of whether all paths of the plurality of paths are equivalent up to an equivalence relation.

Abstract: A method, apparatus and system for determining change in pose of a mobile device include determining from first ranging information received at a first and a second receiver on the mobile device from a stationary node during a first time instance, a distance from the stationary node to the first receiver and the second receiver, determining from second ranging information received at the first receiver and the second receiver from the stationary node during a second time instance, a distance from the stationary node to the first receiver and second receiver, and determining from the determined distances during the first time instance and the second time instance, how far and in which direction the first receiver and the second receiver moved between the first time instance and the second time instance to determine a change in pose of the mobile device, where a position of the stationary node is unknown.

Abstract: Methods, computing devices, and computer-program products are provided for implementing a virtual personal assistant. In various implementations, a virtual personal assistant can be configured to receive sensory input, including at least two different types of information. The virtual personal assistant can further be configured to determine semantic information from the sensory input, and to identify a context-specific framework. The virtual personal assistant can further be configured to determine a current intent. Determining the current intent can include using the semantic information and the context-specific framework. The virtual personal assistant can further be configured to determine a current input state. Determining the current input state can include using the semantic information and one or more behavioral models. The behavioral models can include one or more interpretations of previously-provided semantic information.

Abstract: The present inventors have developed antigen-binding reagents and antigen-binding conjugates that recognize a cancer-specific glycan (carbohydrate) modification on the human Periostin protein. Various in vitro and in vivo diagnostic and/or therapeutic methods using these compositions are also disclosed herein specifically for treating cancers that have amplification of the Mgat3 gene.

Abstract: A method of determining an adversarial attack playbook includes receiving, from an adversarial actor, an electronic communication intended for a target user. The method includes engaging in a deep dialog with the adversarial actor by deploying a synthetic persona dynamically during the electronic communication. The deep dialog includes multiple rounds of communication exchanges. The method includes determining a length and type of the deep dialog to obtain attributes related to the adversarial actor. The method includes identifying a conversational pattern from the deep dialog. The conversational pattern comprises dialog interaction elements utilized by the adversarial actor. The method includes dynamically producing, based on the conversational pattern, the playbook associated with the adversarial actor. The playbook is indicative of a dialog interaction strategy implemented by the adversarial actor.

Abstract: Embodiments are directed to systems, devices, and methods for perturbing a biosystem to quantify responsiveness. An example system comprises stimulation circuitry configured to output a plurality of biostimulation signals to a target of a subject, sensor circuitry configured to obtain measures of a biosignal from the subject, and processor circuitry. The processor circuitry is configured to cause the stimulation circuitry to output the plurality of biostimulation signals to perturb a biosystem of the subject, and quantify responsiveness of the biosystem to the perturbation based on the plurality of biostimulation signals and measures of the biosignal responsive to the plurality of biostimulation signals applied to the target.

Abstract: In general, the disclosure describes techniques for characterizing a dynamical system and a neural ordinary differential equation (NODE)-based controller for the dynamical system. An example analysis system is configured to: obtain a set of parameters of a NODE model used to implement the NODE-based controller, the NODE model trained to control the dynamical system; determine, based on the set of parameters, a system property of a combined system comprising the dynamical system and the NODE-based controller, the system property comprising one or more of an accuracy, safety, reliability, reachability, or controllability of the combined system; and output the system property to modify one or more of the dynamical system or the NODE-based controller to meet a required specification for the combined system.

Abstract: This disclosure describes techniques for improving accuracy of machine learning systems in facial recognition. The techniques include generating, from a training image comprising a plurality of pixels and labeled with a plurality of facial landmarks, one or more facial contour heatmaps, wherein each of the one or more facial contour heatmaps depicts an estimate of a location of one or more facial contours within the training image. Techniques further include training a machine learning model to process the one or more facial contour heatmaps to predict the location of the one or more facial contours within the training image, wherein training the machine learning model comprises applying a loss function to minimize a distance between the predicted location of the one or more facial contours within the training image and corresponding contour data generated from facial landmarks of the plurality of facial landmarks with which the training image is labeled.

Abstract: A hyperdexterous surgical system is provided. The system can include one or more surgical arms coupleable to a fixture and configured to support one or more surgical tools. The system can include an electronic control system configured to communicate electronically with the one or more robotic surgical tools. The control system can electronically control the operation of the one or more surgical tools. The system can include one or more portable handheld controllers actuatable by a surgeon to communicate one or more control signals to the one or more surgical tools via the electronic control system to operate the one or more surgical tools. The one or more portable handheld controllers can provide said one or more control signals from a plurality of locations of an operating arena, allowing a surgeon to be mobile during a surgical procedure and to remotely operate the one or more surgical tools from different locations of the operating arena.

Abstract: Disclosed herein are formulation embodiments comprising levonorgestrel butanoate (“LNGB”) particles having particle sizes that facilitate administering a higher concentration of LNGB at lower volumes. The disclosed formulation embodiments exhibit long-lasting contraceptive effects and can be administered subcutaneously, which lends to their utility in acting as self-administrable contraceptive formulations that do not result in side effects associated with other contraceptive agents.

Abstract: Disclosed are MGS peptides, MTS peptides, linkers and combinations combining any combination thereof. Disclosed are MGS peptides comprising the amino acid sequence of any of the sequences set forth in SEQ ID NOs: 1-8 Disclosed are MTS peptides comprising the amino acid sequence of any of the sequences set forth in SEQ ID NOS: 9-14. Disclosed are compositions comprising at least one MGS peptide conjugated to at least one MTS peptide, wherein the MGS peptide comprises the amino acid sequence of GFHNVYPYTWGGFSDIDLMADEI (SEQ ID NO: 1); EQRWVQMLHILQTRYAGEWPG (SEQ ID NO: 2); FQHINPFPYTYSMEDTDVEIK (SEQ ID NO: 3); or YAAWPASGAWT (SEQ ID NO: 4). In some aspects, the disclosed compositions can further comprise one or more linkers.