Abstract: Disclosed herein is a novel technique that employs non-invasive ultrasound for spatiotemporal modulation of the refractive index in a medium to define and control the trajectory of light within the medium itself, thereby creating a virtual sculpted lens. By varying the amplitude of ultrasonic waves in the medium, the numerical aperture (NA) value of the virtual sculpted lens can be changed. The location of the focus of the virtual sculpted lens can be precisely scanned within a scattering tissue.

Abstract: A method includes producing an amorphous precursor to a nanocomposite, the amorphous precursor comprising a material that is substantially without crystals not exceeding 20% volume fraction; performing devitrification of the amorphous precursor, wherein the devitrification comprises a process of crystallization; forming, based on the devitrification, the nanocomposite with nano-crystals that contains an induced magnetic anisotropy; tuning, based on one or more of composition, temperature, configuration, and magnitude of stress applied during annealing and modification, the magnetic anisotropy of the nanocomposite; and adjusting, based on the tuned magnetic anisotropy, a magnetic permeability of the nanocomposite.

Abstract: Described herein are divalent nucleobases that each binds two nucleic acid strands, matched or mismatched when incorporated into a nucleic acid or nucleic acid analog backbone, such as in a ?-peptide nucleic acid (?PNA). Also provided are genetic recognition reagents comprising one or more of the divalent nucleobases and a nucleic acid or nucleic acid analog backbone, such as a ?PNA backbone. Uses for the divalent nucleobases and monomers and genetic recognition reagents containing the divalent nucleobases also are provided.

Abstract: The disclosure describes a wearable, low-cost and low-power Electrical Impedance Tomography system for gesture recognition. The system measures cross-sectional bio-impedance using electrodes on wearers' skin. Using all-pairs measurements, the interior impedance distribution is recovered, which is then fed to a hand gesture classifier. This system also solves the problem of poor accuracy of gesture recognition often observed with other gesture recognition approaches.

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: Disclosed herein is an innovative multi-layer hybrid/digital MIMO architecture that comprises single-stream or fully-connected (FC) multi-stream beamforming tiles (with RF complex-weights) in the first layer, followed by a fully connected (analog/digital) baseband layer. This architecture overcomes the complexity versus spectral-efficiency tradeoffs of existing hybrid MIMO architectures and enables MIMO stream/user scalability, superior energy-efficiency, and spatial-processing flexibility.

Abstract: A high-performance thermal interface comprising a nanowire array disposed between a bottom metal layer and a top metal layer in which each nanowire is coated with a 3D fuzzy graphene layer. The thermal interface can be used by bonding it to the surfaces of adjoining substrates using layers of solder.

Abstract: A method may include obtaining a dataset including a target Action Unit (AU) combination and labeled images of the target AU combination with at least a first category of intensity for each AU of the target AU combination and a second category of intensity for each AU of the target AU combination. The method may also include determining that the first category of intensity for a first AU has a higher number of labeled images than the second category of intensity for the first AU, and based on the determination, identifying a number of new images to be synthesized in the second category of intensity for the first AU. The method may additionally include synthesizing the number of new images with the second category of intensity for the first AU, and adding the new images to the dataset.

Abstract: A control system of a vehicle includes: a target speed module configured to, using a parametric driver model and based on first driver parameters, second driver parameters, and vehicle parameters, determine a target vehicle speed trajectory for a future predetermined period; a driver parameters module configured to determine the first driver parameters based on conditions within a predetermined distance in front of the vehicle; and a control module configured to adjust at least one actuator of the vehicle based on the target vehicle speed trajectory and a present vehicle speed.

Abstract: Embodiments herein include a method executable by a processor coupled to a memory. The processor is local to a vehicle can operable to determine initial location and direction information associated with the vehicle at an origin of a trip request. The processor receives one or more frames captured while the vehicle is traveling along a navigable route relative to the trip request and estimates an execution time for each of one or more computations respective to an analyzing of the one or more frames. The processor, also, off-loads the one or more computations to processing resources of a cloud-based system that is in communication with the processor of the vehicle in accordance with the corresponding execution times.

Abstract: A system and method used to fabricate an implant from cartilage, where the implant can be used in reconstructive surgery. The system includes a thermoregulation device capable of maintaining a desired temperature range during milling operations. The milling machine is controlled by instructions generated from a digital model of the implant. The digital model can be a stock model or a custom model created from medical scans.

Abstract: Dry adhesives and methods for forming dry adhesives. A method of forming a dry adhesive structure on a backing material, comprises: forming a template backing layer of energy sensitive material on the backing material; forming a template layer of energy sensitive material on the template backing layer; exposing the template layer to a predetermined pattern of energy; removing a portion of the template layer related to the predetermined pattern of energy, and leaving a template structure formed from energy sensitive material and connected to the substrate via the template backing layer.

Abstract: This document describes a data processing system for processing a speech signal for voice-based profiling. The data processing system segments the speech signal into a plurality of segments, with each segment representing a portion of the speech signal. For each segment, the data processing system generates a feature vector comprising data indicative of one or more features of the portion of the speech signal represented by that segment and determines whether the feature vector comprises data indicative of one or more features with a threshold amount of confidence. For each of a subset of the generated feature vectors, the system processes data in that feature vector to generate a prediction of a value of a profile parameter and transmits an output responsive to machine executable code that generates a visual representation of the prediction of the value of the profile parameter.

Abstract: Designs and techniques to enhance power-efficiency and incorporate new features in millimeter-wave MIMO transceivers are described. A new mechanism for built-in dual-band, per-element self-interference cancellation (SIC) is introduced to enable multi-antenna frequency-division duplex (FDD) and full-duplex (FD) operation. Additionally, several innovative circuit concepts are introduced, including low-loss wideband antenna interface design, dual-band power combining PA, dual-band RF-SIC design, and bi-directional MIMO signal.

Abstract: A computer-implemented system and method for storing data associated with an agent in a multi-dimensional environment via a memory architecture. The memory architecture is structured so that each unique position in the environment corresponds to a unique position within the memory architecture, thereby allowing the memory architecture to store features located at a particular position in the environment in a memory location specific to that location. As the agent traverses the environment, the agent compares the features at the agent's particular position to a summary of the features stored throughout the memory architecture and writes the features that correspond to the summary to the coordinates in the memory architecture that correspond to the agent's position. The system and method allows agents to learn, using a reinforcement signal, how to behave when acting in an environment that requires storing information over long time steps.

Abstract: A fabrication process for soft-matter printed circuit boards is disclosed in which traces of liquid-phase Ga—In eutectic (eGaIn) are patterned with UV laser micromachining (UVLM). The terminals of the elastomer-sealed LM circuit connect to the surface mounted chips through vertically-aligned columns of eGaIn-coated ferromagnetic microspheres that are embedded within an interfacial elastomer layer.

Abstract: To improve the throughput and energy efficiency of Deep Neural Networks (DNNs) on customized hardware, lightweight neural networks constrain the weights of DNNs to be a limited combination of powers of 2. In such networks, the multiply-accumulate operation can be replaced with a single shift operation, or two shifts and an add operation. To provide even more design flexibility, the k for each convolutional filter can be optimally chosen instead of being fixed for every filter. The present invention formulates the selection of k to be differentiable and describes model training for determining k-based weights on a per-filter basis. The present invention can achieve higher speeds as compared to lightweight NNs with only minimal accuracy degradation, while also achieving higher computational energy efficiency for ASIC implementation.