Abstract: Electrochemical devices, and associated materials and methods, are generally described. In some embodiments, an electrochemical device comprises an electroactive material. The electroactive material may comprise an alloy having a solid phase and a liquid phase that co-exist with each other. As a result, such a composite electrode may have, in some cases, the mechanical softness to permit both high energy densities and an improved current density as compared to, for example, a substantially pure metal electrode.

Abstract: Disclosed herein is a system and method of identifying new products on a retail shelf using a feature extractor trained to extract features from images of products on the shelf and output identifying information regarding the product in the product image. The extracted features are compared to extracted features in a product library and a best-fit is obtained. A new product is identified if the distance between the features of the product on the shelf and the features of the best-fit product from the product library are above a predetermined threshold.

Abstract: Provided is a media control device system including a media control device including: a user interface configured to receive user input; and a communication interface configured to establish communication with a separate computing device.

Abstract: The disclosure describes a soft-matter electronic device having micron-scale features, and methods to fabricate the electronic device. In some embodiments, the device comprises an elastomer mold having microchannels, which are filled with an eutectic alloy to create an electrically conductive element. The microchannels are sealed with a polymer to prevent the alloy from escaping the microchannels. In some embodiments, the alloy is drawn into the microchannels using a micro-transfer printing technique. Additionally, the molds can be created using soft-lithography or other fabrication techniques. The method described herein allows creation of micron-scale circuit features with a line width and spacing that is an order-of-magnitude smaller than those previously demonstrated.

Abstract: A computing system for generating image data representing a speaker's face includes a detection device configured to route data representing a voice signal to one or more processors and a data processing device comprising the one or more processors configured to generate a representation of a speaker that generated the voice signal in response to receiving the voice signal. The data processing device executes a voice embedding function to generate a feature vector from the voice signal representing one or more signal features of the voice signal, maps a signal feature of the feature vector to a visual feature of the speaker by a modality transfer function specifying a relationship between the visual feature of the speaker and the signal feature of the feature vector; and generates a visual representation of at least a portion of the speaker based on the mapping, the visual representation comprising the visual feature.

Abstract: A data processing system is configured to pre-process data for a machine learning classifier. The data processing system includes an input port that receives one or more data items, an extraction engine that extracts a plurality of data signatures and structure data, a logical rule set generation engine configured to generate a data structure, select a particular data signature of the data structure, identify each instance of the particular data signature in the data structure, segment the data structure around instances of the particular data signature, identify one or more sequences of data signatures connected to the particular data signature, and generate a logical ruleset. A classification engine executes one or more classifiers against the logical ruleset to classify the one or more data items received by the input port.

Abstract: Disclosed herein is a system and method for augmenting data by generating a plurality of pose-altered images of an item from one or more 2D images of the item and using the augmented data to train a train a feature extractor. In other aspects of the invention, the trained feature extractor is used to enroll features extracted from images of new products in a library database of known products or to identify images of unknown products by matching features of an image of the unknown product with features stored in the library database.

Abstract: Provided are systems, methods, and devices for interactive neurological training. The method includes traversing a graph data structure based on a user profile for a user operating a device, the graph data structure including a plurality of nodes, each node of the plurality of nodes associated with at least one of a logical statement and an audible output, presenting at least one audible output to the user based on at least one node of the graph data structure, receiving a gesture input from the user through the device in response to the at least one audible output, determining a next node of the graph data structure from at least two different nodes connected to the at least one node, and presenting at least one further audible output to the user based on the next node of the graph data structure.

Abstract: Disclosed herein are designs for two baselines to detect products in a retail setting. A novel detector, referred to herein as RetailDet, detects quadrilateral products. To match products using visual texts on 2D space, text features are encoded with spatial positional encoding and the Hungarian Algorithm that calculates optimal assignment plans between varying text sequences is used.

Abstract: A hierarchical deep-learning object detection framework provides a method for identifying objects of interest in high-resolution, high pixel count images, wherein the objects of interest comprise a relatively a small pixel count when compared to the overall image. The method uses first deep-learning model to analyze the high pixel count images, in whole or as a patchwork, at a lower resolution to identify objects, and a second deep-learning model to analyze the objects at a higher resolution to classify the objects.

Abstract: A method for preparation of mesoporous nitrogen-doped carbon includes forming a composition by solubilizing a nitrogen-containing polymer in an aqueous solution of ZnCl2 and drying the aqueous solution, the method further includes heating the composition after drying to a temperature sufficiently high to carbonize the nitrogen-containing polymer to form the mesoporous nitrogen-doped carbon.

Abstract: A method includes receiving a trajectory dataset including a plurality of geospatial points forming a point cloud and acquired along a trajectory wherein for each of the plurality of geospatial points there is a defined an x-coordinate, a y-coordinate and a z-coordinate and at least one mapping device orientation attribute, segmenting the trajectory dataset into a plurality of segments, determining at least one relative constraint for each of the plurality of segments and utilizing, for each of the plurality of segments, at least one of the determined relative constraints to determine a relative position of at least two of the plurality of segments.

Abstract: The disclosure relates to a method or a platform for hydrogel-based 3D fabrication, wherein the hydrogel is patterned with a programmable femtosecond light sheet with a power density of 0.1 to 100 TW/cm2.

Abstract: Manufacturing technology to fabricate liquid metal-based soft and flexible electronics (sensors, antennas, etc.) in a high-throughput fashion, with fabrication rates that may approach that of the traditional integrated circuit components and circuits, are described. The technique allows creation of liquid-metal-only circuits, as well as seamless integration of solid IC chips into the circuits, in which liquid metal traces are used as flexible interconnects and/or as other circuit elements. The process may be applied at the wafer scale and may be integrated into the traditional microelectronics fabrication processes. Many sensors, antennas, and other circuit elements may be directly created using liquid metal, and when combined with the IC chips, a broad range of electronic functionality may be provided in a flexible, soft circuit that can be conformable, wearable.

Abstract: The invention proposes a method of training a convolutional neural network in which, at each convolution layer, weights for one seed convolutional filter per layer are updated during each training iteration. All other convolutional filters are polynomial transformations of the seed filter, or, alternatively, all response maps are polynomial transformations of the response map generated by the seed filter.

Abstract: A method to form a coated cathode material may generally include forming, via chemical vapor deposition, an interfacial layer coating on an exterior surface of a cathode active material, wherein the interfacial layer comprises an organic polymer; and wherein the interfacial layer is substantially uniform on and conformal to the exterior surface of the cathode active material. The polymer may include poly(3,4-ethylenedioxythiophene) (PEDOT). Methods of making and using the same are also described.

Abstract: A high-density storage system for goods is described in which totes carrying the goods are stored in a storage structure and stored and retrieved via stationary or mobile conveyers running along opposite ends of each layer of the storage structure. The totes may be moved to or from the conveyers as the rows move at a constant velocity toward or away from the conveyers. Totes at the ends of rows are quickly moved and stored in another row until the desired tote appears at the end of the row, at which point the desired tote is carried to an exit point of the storage structure by one of the conveyers.

Abstract: Described herein are genetic recognition reagents comprising terminal aromatic moieties that bind specifically to a template nucleic acid and concatenate. Also provided are methods of using the genetic recognition reagents, e.g., to treat or diagnose a repeat expansion disorder, such as DMI.

Abstract: The invention specifies a method of improving a subsequent iterations of a generative network by adding a ranking loss to the total loss for the network, the ranking loss representing the marginalized difference between a discriminator score for a generated image in one iteration of the generative network and the discriminator score for a real image from a subsequent iteration of the generative network.

Abstract: Disclosed herein are devices comprising stretchable 3D circuits and methods for fabricating the circuits. The fabrication process includes providing in the elastomeric polymer as a substrate and providing conductive interconnects within the substrate encased in an insulating polymer, such as polyimide, to provide a stiffness gradient between the conductive interconnects and the flexible elastomeric substrate. The circuit may be fabricated as a multilayer construction using three-dimensional pillars as vias and as external interconnects to the circuit.