Abstract: A method for determining harvest state of an agricultural field includes obtaining an observed image of the agricultural field from a data store containing agricultural image data, filtering the observed image using an image filtering module to provide a filtered image for processing, and assigning coordinates to the filtered image, the assigning coordinates to the filtered image performed by a coordinate projection module to provide an input image, processing the input image to determine a set of image statistics for the input image using a statistics calculation module, determining by a harvest state prediction module the harvest state of the agricultural field using the set of image statistics, wherein the harvest state is selected from a set including a pre-harvest state, an in-harvest state, and a post-harvest state and electronically transmitting a notification of the harvest state of the agricultural field to a computing device.

Abstract: A method for shadow and cloud masking for remote sensing images of an agricultural field using multi-layer perceptrons includes electronically receiving an observed image, performing using at least one processor an image segmentation of the observed image to divide the observed image into a plurality of image segments or superpixels, extracting features for each of the image segments using the at least one processor, and determining by a cloud mask generation module executing on the at least one processor a classification for each of the image segments using the features extracted for each of the image segments, wherein the cloud mask generation module applies a classification model including an ensemble of multilayer perceptrons to generate a cloud mask for the observed image such that each pixel within the observed image has a corresponding classification.

Abstract: Described herein are systems, methods, and techniques by which a processing unit can build an end-to-end dialogue agent model for end-to-end learning of dialogue agents for information access and apply the end-to-end dialogue agent model with soft attention over knowledge base entries to make the dialogue system differentiable. In various examples the processing unit can apply the end-to-end dialogue agent model to a source of input, fill slots for output from the knowledge base entries, induce a posterior distribution over the entities in a knowledge base or induce a posterior distribution of a target of the requesting user over entities from a knowledge base, develop an end-to-end differentiable model of a dialogue agent, use supervised and/or imitation learning to initialize network parameters, calculate a modified version of an episodic algorithm. e.g., the REINFORCE algorithm, for training an end-to-end differentiable model based on user feedback.

Abstract: Imaging agents comprising an isolated polypeptide conjugated with a radionuclide and a chelator; wherein the isolated polypeptide binds specifically to HER2, or a variant thereof; and methods for preparing and using these imaging agents.

Abstract: The invention is directed to combining web browser and audio player functionality for the organization and consumption of web documents. Specifically, the invention identifies a set of web documents via a web browser, extracts content from the web documents, and adds the set of web documents to a playlist. In this way, users can build a playlist of web documents and utilize the functionality and convenience of an audio player and listen to the content of the playlist.

Abstract: A device receives historical information associated with an individual to be monitored, wherein the historical information includes at least one of information associated with a health history of the individual, health histories of other individuals, activities of the individual, or activities of the other individuals. The device receives monitored information associated with the individual from one or more client devices associated with the individual, and pre-processes the monitored information to generate pre-processed monitored information that is understood by the trained machine learning model. The device processes the pre-processed monitored information, with a trained machine learning model, to identify one or more activities of the individual and one or more deviations from the one or more activities by the individual, and performs one or more actions based on the one or more activities of the individual and/or the one or more deviations from the one or more activities.

Abstract: An electronic device includes a 2D material layer having a bandgap. The 2D material layer includes two multilayer 2D material regions and a channel region therebetween. A first electrode electrically contacts one of the multilayer 2D material regions, and a second electrode electrically contacts the other of the multilayer 2D material regions.

Abstract: Efficient exploration of natural language conversations associated with dialogue policy learning may be performed using probabilistic distributions. Exploration may comprise identifying key terms associated with the received natural language input utilizing the structured representation. Identifying key terms may include converting raw text of the received natural language input into a structured representation. Exploration may also comprise mapping at least one of the key terms to an action to be performed by the computer system in response to receiving natural language input associated with the at least one key term. Mapping may then be performed using a probabilistic distribution. The action may then be performed by the computer system. A replay buffer may also be utilized by the computer system to track what has occurred in previous conversations. The replay buffer may then be pre-filled with one or more successful dialogues to jumpstart exploration.

Abstract: Storage system and application intercommunication is provided. A first kernel-mode module determines a first event corresponding to an operational parameter of a first node based, at least in part, on a shared namespace accessible by the first kernel-mode module and a second kernel-mode module. An interrupt is issued based on the first event from the first kernel-mode module to the second kernel-mode module via an interface. The second kernel-mode module issues a second event to a second node, wherein the second event corresponds to the object of the shared namespace.

Abstract: Imaging agents comprising an isolated polypeptide conjugated with a radionucleide and a chelator; wherein the isolated polypeptide binds specifically to HER2, or a variant thereof; and methods for preparing and using these imaging agents.

Abstract: Storage system and application intercommunication is provided. A first kernel-mode module determines a first event corresponding to an operational parameter of a first node based, at least in part, on a shared namespace accessible by the first kernel-mode module and a second kernel-mode module. An interrupt is issued based on the first event from the first kernel-mode module to the second kernel-mode module via an interface. The second kernel-mode module issues a second event to a second node, wherein the second event corresponds to the object of the shared namespace.

Abstract: Determining a preferred interface for write access to a data storage system having multiple interfaces. Interface preference is determined at the data-stripe level. Write requests are routed to the preferred interface.

Abstract: Described herein are systems, methods, and techniques by which a processing unit can build an end-to-end dialogue agent model for end-to-end learning of dialogue agents for information access and apply the end-to-end dialogue agent model with soft attention over knowledge base entries to make the dialogue system differentiable. In various examples the processing unit can apply the end-to-end dialogue agent model to a source of input, fill slots for output from the knowledge base entries, induce a posterior distribution over the entities in a knowledge base or induce a posterior distribution of a target of the requesting user over entities from a knowledge base, develop an end-to-end differentiable model of a dialogue agent, use supervised and/or imitation learning to initialize network parameters, calculate a modified version of an episodic algorithm, e.g., the REINFORCE algorithm, for training an end-to-end differentiable model based on user feedback.

Abstract: Efficient exploration of natural language conversations associated with dialogue policy learning may be performed using probabilistic distributions. Exploration may comprise identifying key terms associated with the received natural language input utilizing the structured representation. Identifying key terms may include converting raw text of the received natural language input into a structured representation. Exploration may also comprise mapping at least one of the key terms to an action to be performed by the computer system in response to receiving natural language input associated with the at least one key term. Mapping may then be performed using a probabilistic distribution. The action may then be performed by the computer system. A replay buffer may also be utilized by the computer system to track what has occurred in previous conversations. The replay buffer may then be pre-filled with one or more successful dialogues to jumpstart exploration.

Abstract: Storage system and application intercommunication is provided. A first kernel-mode module determines a first event corresponding to an operational parameter of a first node based, at least in part, on a shared namespace accessible by the first kernel-mode module and a second kernel-mode module. An interrupt is issued based on the first event from the first kernel-mode module to the second kernel-mode module via an interface. The second kernel-mode module issues a second event to a second node, wherein the second event corresponds to the object of the shared namespace.

Abstract: Determining a preferred interface for write access to a data storage system having multiple interfaces. Interface preference is determined at the data-stripe level. Write requests are routed to the preferred interface.

Abstract: Determining a preferred interface for write access to a data storage system having multiple interfaces. Interface preference is determined at the data-stripe level. Write requests are routed to the preferred interface.

Abstract: Storage system and application intercommunication is provided. A first kernel-mode module determines a first event corresponding to an operational parameter of a first node based, at least in part, on a shared namespace accessible by the first kernel-mode module and a second kernel-mode module. An interrupt is issued based on the first event from the first kernel-mode module to the second kernel-mode module via an interface. The second kernel-mode module issues a second event to a second node, wherein the second event corresponds to the object of the shared namespace.

Abstract: An electronic device includes a 2D material layer having a bandgap. The 2D material layer includes two multilayer 2D material regions and a channel region therebetween. A first electrode electrically contacts one of the multilayer 2D material regions, and a second electrode electrically contacts the other of the multilayer 2D material regions.

Abstract: A flat panel imaging system for imaging cells provided on a cell medium is disclosed. The system includes a housing having a base portion and a lid that collectively form a closed environment to exclude external sources of light, and a flat panel detector encased in the base portion and having an array of pixels each including a photodiode and transistor. The system also includes a first light source that illuminates cells on the cell medium to excite at least a portion of the cells and cause those cells to generate photons that are captured by the array of pixels and a second light source to illuminate cells on the cell medium with a light different from the light from the first light source and that provides for a capturing of photons representative of photons transmitted through the cells on the cell medium.