Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for operating sources of electricity in an electrical grid having a forecasting error rate are described. In some implementations, a method includes selecting a forecast horizon based on the forecasting error rate; performing an optimization process for dispatch planning of the electrical grid for the selected forecast horizon; automatically operating one or more power sources of the electrical grid in accordance with the dispatch planning for a first time increment; and performing an optimization process for dispatch planning for subsequent time increments within the selected horizon after the first time increment has elapsed.

Abstract: An apparatus includes a precursor dispenser for dispensing a precursor material into a workspace, one or more acoustic sources configured to direct acoustic waves towards the workspace to provide acoustic fields that arrange the precursor material in a three-dimensional shape in the workspace, one or more sensors configured to detect a distribution of the precursor material in the workspace, and an electronic controller in communication with the precursor dispenser, the one or more acoustic sources, and the one or more sensors, the electronic controller being programmed to cause the one or more acoustic sources to adjust the acoustic fields to reduce deviations in the distribution of the precursor material from the three-dimensional shape in the workspace.

Abstract: A system, including an optical imaging assembly configured to image a sample at an object plane to an image plane; an image sensor arranged at the image plane and configured to capture images of the sample for a field of view of the system; a light source configured to emit light having a wavelength, ?; a spatial light modulator (SLM) arranged to receive the light emitted from the light source and to provide a spatially modulated light pattern; one or more optical elements arranged to receive the spatially modulated light pattern from the SLM and to direct the spatially modulated light pattern to the image plane; and an electronic controller in communication with the image sensor and the spatial light modulator, the electronic controller being programmed to identify one or more targets in the field of view of the optical imaging assembly and to control the spatial light modulator to selectively direct light from the light source to the one or more targets identified by the electronic controller.

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: Implementations are described herein for analyzing vision data depicting undesirable plants such as weeds to detect various attribute(s). The detected attribute(s) of a particular undesirable plant may then be used to select, from a plurality of available candidate remediation techniques, the most suitable remediation technique to eradicate or otherwise eliminate the undesirable plants.

Abstract: A system, including an optical imaging assembly configured to image a sample at an object plane to an image plane; an image sensor arranged at the image plane and configured to capture images of the sample for a field of view of the system; a light source configured to emit light having a wavelength, ?; a spatial light modulator (SLM) arranged to receive the light emitted from the light source and to provide a spatially modulated light pattern; one or more optical elements arranged to receive the spatially modulated light pattern from the SLM and to direct the spatially modulated light pattern to the image plane; and an electronic controller in communication with the image sensor and the spatial light modulator, the electronic controller being programmed to identify one or more targets in the field of view of the optical imaging assembly and to control the spatial light modulator to selectively direct light from the light source to the one or more targets identified by the electronic controller.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically analyze a live streaming media file, and identify portions of the media that are highlights. The content classified as a highlight can be shared across social media platforms, and indexed for searching respective to attributes of the video content. The streaming and highlight media content is renderable in a novel, modified video player that enables variable playback speeds for how content is classified, and enables on-demand selections of specific content portions and adjustable rendering displays during streaming.

Abstract: In one aspect, there is provided a method performed by one or more data processing apparatus, the method including obtaining a baseline image of a baseline biological organism brain, obtaining a follow-up image of a target biological organism brain, wherein the follow-up image shows at least a damaged region of the target biological organism brain, processing the baseline image and the follow-up image to generate data defining a predicted anatomical microstructure of the damaged region of the target biological organism brain before the target biological organism brain was damaged, and generating a design for a neural prosthesis for replacing the damaged region of the target biological organism brain based on the predicted anatomical microstructure of the damaged region of the target biological organism brain before the target biological organism brain was damaged.

Abstract: A system includes ultrasound transducers configured to generate and direct ultrasound beams at a region within a portion of a subject's brain, sensors configured to measure a response from the portion of the subject's brain in response to one or more ultrasound beams, and an electronic controller in communication with the ultrasound transducers configured to generate, based on a measured response from the portion of the subject's brain in response to two or more ultrasound beams generated from two or more different angles, a model of the portion of the subject's brain, wherein the model has a higher resolution than a maximum resolution of a single ultrasound beam, and generate, based on the model of the portion of the subject's brain, stimulation parameters for the ultrasound transducers to generate and direct a stimulation ultrasound beam at the region within the portion of the subject's brain.

Abstract: An apparatus includes a precursor dispenser for dispensing a precursor material into a workspace, one or more acoustic sources configured to direct acoustic waves towards the workspace to provide acoustic fields that arrange the precursor material in a three-dimensional shape in the workspace, one or more sensors configured to detect a distribution of the precursor material in the workspace, and an electronic controller in communication with the precursor dispenser, the one or more acoustic sources, and the one or more sensors, the electronic controller being programmed to cause the one or more acoustic sources to adjust the acoustic fields to reduce deviations in the distribution of the precursor material from the three-dimensional shape in the workspace.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically analyze a live streaming media file, and identify portions of the media that are highlights. The content classified as a highlight can be shared across social media platforms, and indexed for searching respective to attributes of the video content. The streaming and highlight media content is renderable in a novel, modified video player that enables variable playback speeds for how content is classified, and enables on-demand selections of specific content portions and adjustable rendering displays during streaming.

Abstract: An apparatus includes a precursor dispenser for dispensing a precursor material into a workspace, one or more acoustic sources configured to direct acoustic waves towards the workspace to provide acoustic fields that arrange the precursor material in a three-dimensional shape in the workspace, one or more sensors configured to detect a distribution of the precursor material in the workspace, and an electronic controller in communication with the precursor dispenser, the one or more acoustic sources, and the one or more sensors, the electronic controller being programmed to cause the one or more acoustic sources to adjust the acoustic fields to reduce deviations in the distribution of the precursor material from the three-dimensional shape in the workspace.

Abstract: One or more systems and/or methods for providing related content associated with a multi-touch gesture to a user are provided. A multi-touch gesture (e.g., a pinch-in gesture, a pinch-out gesture, etc.) may be received through a user interface of a client device (e.g., smartphone, tablet, television, virtual wall, etc.) associated with a user. The multi-touch gesture may be evaluated to identify an area of interest of the user interface (e.g., a portion of user interface containing content of interest to the user). The area of interest may be evaluated to identify context (e.g., keywords, phrases, associated content, etc.) associated with the area of interest. A search of content may be performed based upon the context to identify related content (e.g., news articles, wide-area network search results, local device search results, etc.) associated with the context. The related content may be provided to the user through the client device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing brain emulation neural networks using analog circuits.

Abstract: An apparatus includes an acoustic source for directing an acoustic wave towards a workspace, a variable acoustic diffractive device positioned in a path of the acoustic wave between the acoustic source and the workspace, the variable acoustic diffractive device including an array of elements each having independently variable acoustic properties, and an electronic controller in communication with the acoustic source and the variable acoustic diffractive device, the electronic controller programmed to supply signals to cause the acoustic source to produce the acoustic wave and the variable acoustic diffractive device to diffract the acoustic wave from the acoustic source to provide non-uniform acoustic forces in a medium located in the workspace.

Abstract: An apparatus for analysis of interstitial fluid, the apparatus including an array of needles spaced apart from each other; an array of chambers separated from each other and each in fluid communication with a lumen of a corresponding one of the needles, the array of chambers comprising one or more first chambers and one or more second chambers, the one or more first chambers each containing nanoparticles functionalized to bind with a first biomarker present in the interstitial fluid, the one or more second chambers each containing nanoparticles functionalized to bind with a second biomarker present in the interstitial fluid, the first and second biomarkers being different; and an optical sensor array positioned to simultaneously detect light emitted from each of the one or more first and second chambers in response to the first or second biomarkers binding with the nanoparticles.

Abstract: An in-ear device includes a tympanic membrane measurement unit (TMMU) and an audio package configured to emit sound. The device is configured to measure a movement of a tympanic membrane in an ear using the TMMU caused by external sound received by the tympanic membrane, analyze at least the movement of the tympanic membrane measured by the TMMU using a predictive model trained by a machine learning technique to generate a waveform of cancellation sound that will destructively interfere with the external sound when received by the tympanic membrane, and output the cancellation sound from the audio package to destructively interfere with external sound received by the tympanic membrane.

Abstract: Implementations are described herein for automatically identifying, recommending, and/or automatically effecting changes to a source code base based on updates previously made to other similar code bases. Intuitively, multiple prior “migrations,” or mass updates, of complex software system code bases may be analyzed to identify changes that were made. More particularly, a particular portion or “snippet” of source code—which may include a whole source code file, a source code function, a portion of source code, or any other semantically-meaningful code unit—may undergo a sequence of edits over time. Techniques described herein leverage this sequence of edits to predict a next edit of the source code snippet. These techniques have a wide variety of applications, including but not limited to automatically updating of source code, source code completion, recommending changes to source code, etc.

Abstract: Implementations are described herein for analyzing vision data depicting undesirable plants such as weeds to detect various attribute(s). The detected attribute(s) of a particular undesirable plant may then be used to select, from a plurality of available candidate remediation techniques, the most suitable remediation technique to eradicate or otherwise eliminate the undesirable plants.

Abstract: Implementations are described herein for automatically identifying, recommending, and/or automatically effecting changes to a source code base based on updates previously made to other similar code bases. Intuitively, multiple prior “migrations,” or mass updates, of complex software system code bases may be analyzed to identify changes that were made. More particularly, a particular portion or “snippet” of source code—which may include a whole source code file, a source code function, a portion of source code, or any other semantically-meaningful code unit—may undergo a sequence of edits over time. Techniques described herein leverage this sequence of edits to predict a next edit of the source code snippet. These techniques have a wide variety of applications, including but not limited to automatically updating of source code, source code completion, recommending changes to source code, etc.