Abstract: In one aspect, a method includes using a Wi-Fi module of a computing device to detect that an end-user has exited a monitored environment of the computing device, where the monitored environment comprises an Internet of Things (IoT) device communicatively coupled to the computing device over an IoT network. The method also involves in response to detecting that the end-user has exited the monitored environment, triggering a first IoT action at the IoT device. The method also involves after detecting that the end-user has exited the monitored environment and triggering the first IoT action, using the Wi-Fi module of the computing device to detect that the end-user has reentered the monitored environment. The method also involves in response to detecting that the end-user has reentered the monitored environment, triggering a second IoT action at the IoT device.

Abstract: Compositions and methods for creating plants exhibiting enhanced resistance to abiotic stresses, especially cold stress are disclosed.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for detecting downstream devices connected to an electrical load controlling device. An example embodiment operates by detecting an association signal from a downstream smart device responsive to a downstream smart device detection signal. The example embodiment further operates by determining whether the downstream smart device is coupled to an electrical terminal of an electrical switching device and configured to receive electricity in response to an actuation of the electrical switching device. If so, the example embodiment further operates by generating a control signal configured to instruct the electrical switching device to prevent a deactuation of the electrical switching device and transmitting the control signal to the electrical switching device.

Abstract: Disclosed are system, method and/or computer program products for generating a map for map-based management of a plurality of Internet of Things (IoT) devices. An embodiment obtains first data associated with a mobile device, including data indicative of a relative position of the mobile device with respect to one or more subsets of the plurality of IoT devices at different points in time, and/or second data from each of one or more of the plurality of IoT devices, including data indicative of a relative position of each of the one or more IoT devices with respect to a subset of other IoT devices in the plurality of IoT devices, generates, based on at least the first and/or second data, a map in which each of the IoT devices is assigned a corresponding location, and provides the map to an application that enables map-based management of the plurality of IoT devices.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for providing voice control using multiple digital assistants. In some embodiments, a voice platform operates to receive a voice input from a user. The voice platform selects a digital assistant from a plurality of digital assistants based on a trigger word. The voice platform then generates an intent from the voice input using the selected digital assistant. The voice platform then transmits the intent to a media device for processing.

Abstract: Compositions and methods for creating plants exhibiting enhanced resistance to abiotic stresses, especially cold stress are disclosed.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for detecting downstream devices connected to an electrical load controlling device. An example embodiment operates by detecting an association signal from a downstream smart device responsive to a downstream smart device detection signal. The example embodiment further operates by determining whether the downstream smart device is coupled to an electrical terminal of an electrical switching device and configured to receive electricity in response to an actuation of the electrical switching device. If so, the example embodiment further operates by generating a control signal configured to instruct the electrical switching device to prevent a deactuation of the electrical switching device and transmitting the control signal to the electrical switching device.

Abstract: Methods of formation and detection of arrays of single analytes on enhanced substrates are described. The arrays may comprise pluralities of single analytes containing heterogeneity with respect to one or more properties. Enhanced substrates may be utilized to amplify the relative detection of optical signals form single analytes or moieties attached to single analytes with respect to sources of background, baseline, or erroneous optical signals.

Abstract: In one aspect, a method includes using one or more Wi-Fi modules of one or more computing devices to detect movement of an end-user from a first monitored environment of the one or more computing devices to a second, different monitored environment of the one or more computing devices, where the first monitored environment comprises a first Internet of Things (IoT) device, where the second monitored environment comprises a second IoT device, and where the first and second IoT devices are communicatively coupled to the one or more computing devices over an IoT network. The method also includes in response to detecting the movement of the end-user from the first monitored environment to the second monitored environment: triggering a first IoT action at the first IoT device, and triggering a second IoT action at the second IoT device.

Abstract: A computer-implemented improved system for producing studio quality e-commerce product videos displaying a 3D rendering created from a 3D model of a product that includes generally the steps of uploading a 3D model of the consumer product onto a computer or an online platform: selecting product features for highlighting in the video, rotating the 3D model to identify selected features, providing text to highlight portions of the video and the selected features: selecting and providing musical accompaniment for the video; and, creating a timeline to establish the sequence of individual portions of the video where-upon the 3D rendered video is then automatically generated for the vendor's e-commerce product page and various social platforms.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for providing voice control using multiple digital assistants. In some embodiments, a voice platform operates to receive a voice input from a user. The voice platform selects a digital assistant from a plurality of digital assistants based on a trigger word. The voice platform then generates an intent from the voice input using the selected digital assistant. The voice platform then transmits the intent to a media device for processing.

Abstract: In one aspect, an example method involves: receiving a request to train a model and prompting a user for a first input indicating a subject for detection within media; receiving the first input; using at least the received first input as a basis to obtain a set of media related to the subject for detection; outputting the obtained set of media and prompting the user for second input indicating subject identification information; receiving the second input; using at least (i) the obtained set of media as training input data and (ii) the received second input as training output data, to train the model; and performing operations to facilitate causing a computing system to run the trained model, wherein the computing system running the trained model comprises the computing system using at least the trained model and received runtime input data to generate and output corresponding runtime output data.

Abstract: The present disclosure provides systems and methods for detecting components of an array of biological, chemical, or physical entities. In an aspect, the present disclosure provides a method for detecting an array of biological, chemical, or physical entities, comprising: (a) using one or more light sensing devices, acquiring pixel information from sites in an array, wherein the sites comprise biological, chemical, or physical entities that produce light; (b) processing the pixel information to identify a set of regions of interest (ROIs) corresponding to the sites in the array that produce the light; (c) classifying the pixel information for the ROIs into a categorical classification from among a plurality of distinct categorical classifications, thereby producing a plurality of pixel classifications; and (d) identifying one or more components of the array of biological, chemical, or physical entities based at least in part on the plurality of pixel classifications.

Abstract: Disclosed herein are light sheet imaging systems for imaging fluorescent samples. Also disclosed herein are sample holder systems for high throughput light sheet imaging of multiple three-dimensional samples without user intervention. Further disclosed herein are automated image processing methods to identify and quantify fluorescent particles within three-dimensional image sets without user intervention or user bias.

Abstract: In one aspect, a method includes using one or more Wi-Fi modules of one or more computing devices to detect movement of an end-user from a first monitored environment of the one or more computing devices to a second, different monitored environment of the one or more computing devices, where the first monitored environment comprises a first Internet of Things (IoT) device, where the second monitored environment comprises a second IoT device, and where the first and second IoT devices are communicatively coupled to the one or more computing devices over an IoT network. The method also includes in response to detecting the movement of the end-user from the first monitored environment to the second monitored environment: triggering a first IoT action at the first IoT device, and triggering a second IoT action at the second IoT device.

Abstract: In one aspect, a method includes using a Wi-Fi module of a computing device to detect that an end-user has entered a monitored environment of the computing device, where the computing device is separate from, and communicatively coupled over an Internet of Things (IoT) network to, a battery-powered IoT device. The method also includes in response to detecting that the end-user has entered the monitored environment of the computing device, causing the IoT device to switch from operating in a standby mode to instead operating in an active mode, where operation in the standby mode comprises a mode in which the IoT device consumes less power than when operating in the active mode.

Abstract: Disclosed herein are system, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for generating a long exposure composite image (LECI) frame, wherein the LECI frame provides a summary of activity in a monitored environment over a duration of time. An embodiment captures, using an image-capturing device, a sequence of image frames over the duration of time using an optical sensor of the image-capturing device. The embodiment then generates the LECI frame, using an embedded low-power processor coupled to the optical sensor and dedicated to generating LECI frames, by combining the sequence of image frames. The embodiment then transmits the LECI frame to a network device using a transceiver coupled to the low-power processor.

Abstract: The present disclosure provides systems and methods for detecting components of an array of biological, chemical, or physical entities. In an aspect, the present disclosure provides a method for detecting an array of biological, chemical, or physical entities, comprising: (a) using one or more light sensing devices, acquiring pixel information from sites in an array, wherein the sites comprise biological, chemical, or physical entities that produce light; (b) processing the pixel information to identify a set of regions of interest (ROIs) corresponding to the sites in the array that produce the light; (c) classifying the pixel information for the ROIs into a categorical classification from among a plurality of distinct categorical classifications, thereby producing a plurality of pixel classifications; and (d) identifying one or more components of the array of biological, chemical, or physical entities based at least in part on the plurality of pixel classifications.

Abstract: In one aspect, a method includes using a Wi-Fi module of a computing device to detect that an end-user has entered a monitored environment of the computing device, where the computing device is separate from, and communicatively coupled over an Internet of Things (IoT) network to, a battery-powered IoT device. The method also includes in response to detecting that the end-user has entered the monitored environment of the computing device, causing the IoT device to switch from operating in a standby mode to instead operating in an active mode, where operation in the standby mode comprises a mode in which the IoT device consumes less power than when operating in the active mode.

Abstract: A computer-implemented improved system for producing studio quality e-commerce product videos displaying a 3D rendering created from a 3D model of a product that includes generally the steps of uploading a 3D model of the consumer product onto a computer or an online platform; selecting product features for highlighting in the video; rotating the 3D model to identify selected features; providing text to highlight portions of the video and the selected features; selecting and providing musical accompaniment for the video; and, creating a timeline to establish the sequence of individual portions of the video whereupon the 3D rendered video is then automatically generated for the vendor's e-commerce product page and various social platforms.