Abstract: A semiconductor structure for RF applications comprises: a first ?TP GaN transistor on an SOI wafer or die; and a first resistor connected to the gate of said first transistor.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a neural network to predict locations of feeders in an electrical power grid. One of the methods includes training a generative adversarial network comprising a generator and a discriminator; and generating, by the generator, from input images, output images with feeder metadata that represents predicted locations of feeder assets, including receiving by the generator a first input image and generating by the generator a corresponding first output image with first feeder data that identifies one or more feeder assets and their respective locations, wherein the one or more feeder assets had not been identified in any input to the generator.

Abstract: The present invention provides peptoid polymers and salts thereof that comprise hydrophobic and polar peptoid monomers and are capable of reducing or inhibiting the formation of ice crystals at sub 0° C. temperatures. Also provided are peptoid-peptide hybrids and salts thereof comprising the peptoid polymers provided herein. The peptoid polymers, peptoid-peptide hybrids, and salts thereof provided herein are useful for making cryoprotectant solutions. The peptoid polymers, peptoid-peptide hybrids, salts thereof, and cryoprotectant solutions provided herein are useful for making antifreeze solutions, frozen food products, and cosmetic care products. Also provided herein are methods for preserving a tissue, an organ, a cell, or a biological macromolecule using the compositions described herein.

Abstract: A mobile robotic device includes a mobile base and a mast fixed relative to the mobile base. The mast includes a carved-out portion. The mobile robotic device further includes a three-dimensional (3D) lidar sensor mounted in the carved-out portion of the mast and fixed relative to the mast such that a vertical field of view of the 3D lidar sensor is angled downward toward an are in front of the mobile robotic device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that provides an enhanced synchronization framework. One of the methods includes a primary and a second device that receive configuration information which identifies one or more actions to be performed by the secondary device when it receives specified pulses of a sequence of pulses from the primary device. The primary device transmits a sequence of pulses. The primary and the secondary device receive a particular pulse from the sequence of pulses. The secondary device determines whether the particular pulse satisfies one or more predetermined criteria and generates an instruction based on the determination.

Abstract: A photonic coupler includes an input coupling section, an output coupling section, and a multimode interference (MMI) waveguide section. The input coupling section is adapted to receive an input optical signal along an input waveguide channel. The output coupling section is adapted to output a pair of output optical signals along output waveguide channels. The output optical signals having output optical powers split from the input optical signal. The MMI waveguide section is optically coupled between the input and output coupling sections. Notched waveguide sections may each be disposed between the MMI waveguide section and a corresponding one of the input or output coupling sections and/or the MMI waveguide section may include curvilinear sidewalls.

Abstract: Utilizing at least one existing policy (e.g. a manually engineered policy) for a robotic task, in generating reinforcement learning (RL) data that can be used in training an RL policy for an instance of RL of the robotic task. The existing policy can be one that, standing alone, will not generate data that is compatible with the instance of RL for the robotic task. In contrast, the generated RL data is compatible with RL for the robotic task at least by virtue of it including state data that is in a state space of the RL for the robotic task, and including actions that are in the action space of the RL for the robotic task. The generated RL data can be used in at least some of the initial training for the RL policy using reinforcement learning.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a synthesized signal. In some implementations, a computer-implemented system obtains generator input data including at least an input signal having one or more first characteristics, processes the generator input data to generate output data including a synthesized signal having one or more second characteristics using a generator neural network, and outputs the synthesized signal to a device. The generator neural network is trained, based on a plurality of training examples, with a discriminator neural network.

Abstract: The embodiments disclose a pulsed power generator system that can include a cantilever comprising a cantilever tip disposed on a lower surface of a first end and a permanent magnet mounted on an upper surface of the first end, wherein the cantilever is connected to an electric circuit at a second end, an electromagnet generating a time varying periodic magnetic flux, wherein the magnetic flux interacts with the permanent magnet to generate a direction-changing mechanical force that drives oscillation in the cantilever, a conducting pad, disposed adjacent to the bottom surface of the first end of the cantilever and configured so that the cantilever tip can contact the conducting pad. An oscillation of the cantilever causes the cantilever tip to periodically contact the conducting pad forming an electrical switch suitable for pulse generation through the electric circuit.

Abstract: A latent space is defined to represent sequences using training data and a machine-learning model. The training data identifies sequences of molecules and binding-approximation metrics that characterizes whether the molecules bind to a particular target and/or that approximate an extent to which the molecule is more likely to bind to the particular target than some other molecules. Supplemental training data is accessed that identifies other sequences of other molecules and binding affinity scores quantifying binding strengths between the molecules and the particular target. Projections of representations of the other sequences in the supplemental training data are projected in the latent space using the binding affinity scores. An area or position of interest within the latent space is identified based on the projections. A particular sequence represented within or at the area or position of interest or at the position of interest is identified for downstream processing.

Abstract: Insulation structures, insulated piping devices including the same, and methods of fabricating the same are disclosed. The insulation structure includes a first insulation layer on an outer surface of a pipe, a second insulation layer on an outer surface of the first insulation layer that includes a material different from a material of the first insulation layer, and a third insulation layer on an outer surface of the second insulation layer that includes a material different from the material of the second insulation layer. A thickness of the second insulation layer is greater than a thickness of the first insulation layer and a thickness of the third insulation layer. The second insulation layer includes a porous foam.

Abstract: A method for matching production of FBA metabolism to supply and demand within a larger production network is described herein. An objective function of FBA metabolism is modified to include an upstream supply generated in upstream sub-units, as well as a downstream demand generated within downstream sub-units in the production network. FBA metabolism and the upstream and downstream sub-units are iteratively solved with updated initial conditions, producing a time series solution to the production network.

Abstract: An alert system is configured to track conditions for a tracking system. The one or more processors of the alert system are configured to receive data in a payload related to characteristics of tracking devices of the tracking system. The one or more processors are then configured to determine a condition timeframe for each condition for a given alert based on the data in the payload. The given alert requires at least a first condition and a second condition of the plurality of conditions. The one or more processors are configured to perform a query for historical data for the first condition based on a timestamp of the second condition that is prior to the first condition, determine an alert timeframe for the given alert based on the condition timeframes and the historical data, and store the given alert and the alert timeframe in a memory of the alert system.

Abstract: Implementations are described herein for automatically generating quasi-realistic synthetic training images that are usable as training data for training machine learning models to perceive various types of plant traits in digital images. In various implementations, multiple labeled simulated images may be generated, each depicting simulated and labeled instance(s) of a plant having a targeted plant trait. In some implementations, the generating may include stochastically selecting features of the simulated instances of plants from a collection of plant assets associated with the targeted plant trait. The collection of plant assets may be obtained from ground truth digital image(s). In some implementations, the ground truth digital image(s) may depict real-life instances of plants having the target plant trait.

Abstract: The technology employs a state-based power control loop (PCL) architecture to maintain tracking and communication signal-to-noise ratios at suitable levels for optimal tracking performance and data throughput in a free-space optical communication system. Power for a link is adjustable to stay within a functional range of receiving sensors in order to provide continuous service to users. This avoids oversaturation and possible damage to the equipment. The approach can include decreasing or increasing the power to counteract a surge or drop while maintaining a near constant received power at a remote communication device. The system may receive power adjustment feedback from another communication terminal and perform state-based power control according to the received feedback. This can include re-initializing and reacquiring a link with the other communication terminal automatically after loss of power, without human intervention.

Abstract: A system and method for automated lens adjustment for hyperspectral imaging is described. The system includes an image sensor and an electrically-controllable element arranged to set a spectral band for image capture by (i) selectively providing light for a selected spectral band or (ii) selectively filtering light to a selected spectral band. The system includes a tunable lens that is adjustable to change a focal length of the lens; and one or more data storage devices storing data that indicates different focus adjustment parameters corresponding to different spectral bands. The system includes a control system configured to perform operations including: selecting a spectral band; controlling the electrically-controllable element to set the spectral band for image capture; retrieving the focus adjustment parameter that corresponds to the spectral band; adjusting the lens based on the retrieved focus adjustment parameter; and capturing an image of the subject while the lens remains adjusted.

Abstract: A dark reference device comprises: a photodiode comprising an optical active area; a light shield configured to prevent light from entering said optical active area, wherein said light shield comprises first and second overlapping metal covers, and wherein each of said metal covers comprises a plurality of openings overlapping said optical active area.

Abstract: Systems and methods for designing a hybrid neural network comprising at least one physical neural network component and at least one digital neural network component. A loss function is defined within a design space composed of a plurality of voxels, the design space encompassing one or more physical structures of the at least one physical neural network component and one or more architectural features of the digital neural network. Values are determined for at least one functional parameter for the one or more physical structures, and the at least one architectural parameter for the one or more architectural features, using a domain solver to solve Maxwell's equations so that a loss determined according to the loss function is within a threshold loss. Final structures are defined for the at least one physical neural network component and the digital neural network component based on the values.

Abstract: An information processing system includes a processor configured to detect biological information measured at a head and control a volume of an ambient sound output from a speaker provided in a device which is worn so as to cover an ear according to the detected biological information.

Abstract: A vine removal device may include a shaft connected to a hook with a pocket. An actuation mechanism, such as a line connected to a user's belt, can actuate a movable jaw having a jaw projection configured to at least partly fit within the pocket. The hook has blade that supports a vine slide surface that facilitates collection of vines in the pocket where they can be gripped by the projection of the movable jaw. The blade may employ a surface skimmer to limit how deep the blade can penetrate the soil.