Abstract: A computer-implemented technique is described herein for assisting a user in advancing a task objective. The technique uses a suggestion-generating system (SGS) to provide one or more suggestions to a user in response to at least a last-submitted query provided by the user. The SGS may correspond to a classification-type or generative-type neural network. The SGS uses a machine-trained model that is trained using a multi-task training framework based on plural groups of training examples, which, in turn, are produced using different respective example-generating methods. One such example-generating method constructs a training example from queries in a search session. It operates by identifying the task-related intent the queries, and then identifying at least one sequence of queries in the search session that exhibits a coherent task-related intent. A training example is constructed based on queries in such a sequence.

Abstract: Provided is a method, performed by an electronic device, of performing an operation based on bending, the method including: sensing bending that deforms a shape of the electronic device; determining a first region, from which the bending is sensed, from among regions of the electronic device; selecting an object indicated by the first region from at least one object displayed on the electronic device; and performing an operation on the selected object.

Abstract: Contextual spelling methods and systems are provided that utilize natural language processing and n-gram frequencies to group documents into logical groups and to provide spelling correction suggestions. For example, a contextual spelling correction system may receive a set of documents, group the documents into separate logical groups, generate dictionaries associated with the logical groups, receive a user input, determine scores for potential spelling correction suggestions regarding the user input, and provide spelling correction suggestions based at least partly on the dictionaries associated with the logical groups.

Abstract: A computer-implemented technique receives an input expression that a user submits with an intent to accomplish some objective. The technique then uses a machine-trained intent encoder component to map the input expression into an input expression intent vector (IEIV). The IEIV corresponds to a distributed representation of the intent associated with the input expression, within a vector intent vector space. The technique then leverages the intent vector to facilitate some downstream application task, such as the retrieval of information. Some application tasks also use a neighbor search component to find expressions that express an intent similar to that of the input expression. A training system trains the intent encoder component based on the nexus between queries and user clicks, as recorded in a search engine's search log.

Abstract: A system is provided that includes a memory system storing a plurality of executable instructions. The system also includes a processing system operably coupled to the memory system. The executable instructions when executed by the processing system cause the system to access a plurality of building structural data, ductwork layout data, and fire suppression system layout data associated with a building. A location of a user device within the building is identified. An overlay image is created that includes a three-dimensional depiction of a portion of a ductwork layout and a fire suppression system layout based on an overlay of the ductwork layout data and the fire suppression system layout data with respect to the building structural data and the location of the user device. The overlay image is output to a display component.

Abstract: The present invention relates to a cost effective and single step process for rapid manufacturing of paper-based SERS substrates (100), wherein chitosan is used for direct in situ reduction of the metallic precursor solutions for production of metallic nanoparticles on the substrates. The crucial step in the process involves the incubation of the paper-based substrates under humidifying conditions at an elevated temperature for a predetermined duration. The metal nanoparticles thus produced are homogenously deposited over the paper-based substrate making the paper-based substrate suitable for SERS analysis. The paper-based substrate thus developed is cost-effective, flexible, easy to load and is demonstrated to have exceptional sensitivity with detection limits of up to 1 pM.

Abstract: Techniques for searching documents are described. An exemplary method includes receiving a document search query; querying at least one index based upon the document search query to identify matching data; fetching the identified matched data; determining one or more of a top ranked passage and top ranked documents from the set of documents based upon one or more invocations of one or more machine learning models based at least on the fetched identified matched data and the document search query; and returning one or more of the top ranked passage and the proper subset of documents.

Abstract: Computer-implemented techniques are described herein for generating and utilizing a universal encoder component (UEC). The UEC maps a linguistic expression in a natural language to a language-agnostic representation of the linguistic expression. The representation is said to be agnostic with respect to language because it captures semantic content that is largely independent of the syntactic rules associated with the natural language used to compose the linguistic expression. The representations is also agnostic with respect to task because a downstream training system can leverage it to produce different kinds to machine-trained components that serve different respective tasks. The UEC facilitates the generation of downstream machine-trained models by permitting a developer to train a model based on input examples expressed in a language j?, and thereafter apply it to the interpretation of documents in language j?, with no additional training required.

Abstract: This document relates to natural language processing using a framework such as a neural network. One example method involves obtaining a first document and a second document and propagating attention from the first document to the second document. The example method also involves producing contextualized semantic representations of individual words in the second document based at least on the propagating. The contextualized semantic representations can provide a basis for performing one or more natural language processing operations.

Abstract: Aspects of the invention are directed towards a system and a method for configuring a communication interval of one or more sensing devices. One or more embodiments of the invention describe a method comprising steps of receiving a signal strength value from one or more sensing devices and determining an apparent distance between a regulating device and each of the one or more sensing devices based on the signal strength value. The method further comprising step dynamically ranking the one or more sensing devices based on the apparent distance and based on the ranking of the one or more sensing devices, configuring a communication interval for each of the one or more sensing devices.

Abstract: An air handling unit (AHU) system is provided and includes an AHU. The AHU includes an enclosure formed to define an inlet and at least one outlet downstream from the inlet, an air supply system to drive an air flow through the enclosure from the inlet to the outlet and a misting system operably coupled to the AHU. The misting system is configured to spray high pressure, cold water mist that includes mist droplets into a portion of the enclosure upstream from the at least one outlet whereupon heat transfer occurs directly between the mist droplets and air prior to the air reaching the outlet.

Abstract: The present invention relates to a stable pharmaceutical composition comprising vasopressin or pharmaceutically acceptable salts thereof. The present invention further provides a method of increasing blood pressure in adults with vasodilatory shock by administering said pharmaceutical composition of vasopressin or pharmaceutically acceptable salts thereof.

Abstract: A method and system are provided for handling a blockchain network based file storage system including a plurality of electronic devices.

Abstract: Transit voice assistant is a conversational voice-based assistant, accessible 24 hours a day and 7 days a week. It responds to user's request for real-time transit system information as well as transit alerts. Just say where you want to go to and transit voice assistant will make it happen. Transit voice assistant provides a unique experience for the customer by enabling the user to interact in a more intuitive way using only their voice. Transit voice assistant responds to the way users speak and think, without requiring users to type on a keyboard or screen. Transit voice assistant brings customers new levels of ease and convenience through voice technology, including natural language understanding and automatic speech recognition. The transit voice assistant is constantly learning and improves as more data is collected. Reach and delight more customers, where they are, through millions of voice powered devices.

Abstract: A method of storing or searching data files on a plurality of cloud-based storage systems includes detecting an event on the electronic device indicative of storing at least one data file on a cloud-based storage, analyzing the at least one data file in response to detecting the event to extract a plurality of elements, mapping the plurality of elements to one or more rules stored in a memory of the electronic device, selecting at least one cloud-based storage for storing the at least one data file, and storing information corresponding to the at least one data file in the memory upon storing the at least one data file onto the selected at least one cloud-based storage for searching the at least one data file.

Abstract: A system and method for providing a layout of equipment in a data center, the equipment including a plurality of equipment racks, and at least one rack-based cooling provider. In one aspect, the method includes receiving data regarding airflow consumption for each of the plurality of equipment racks and cooling capacity of the at least one cooling provider, determining a layout of the data center, and displaying the layout of the data center.

Abstract: According to an aspect, a method of fire type detection and notification includes receiving a plurality of sensor data from a plurality of sensors operable to detect one or more fire conditions. One or more changes in the sensor data are detected from at least one of the sensors. A fire type is classified based on the one or more changes detected in the sensor data. A suppression agent type associated with the fire type is determined. A notification including the fire type and the suppression agent type is output.

Abstract: A computer-implemented technique is described herein that receives an input expression that a user submits with an intent to accomplish some objective. The technique then uses a machine-trained intent encoder component to map the input expression into an input expression intent vector (IEIV). The IEIV corresponds to a distributed representation of the intent associated with the input expression, within a vector intent vector space. The technique then leverages the intent vector to facilitate some downstream application task, such as the retrieval of information. Some application tasks also use a neighbor search component to find expressions that express an intent similar to that of the input expression. A training system trains the intent encoder component based on the nexus between queries and user clicks, as recorded in a search engine's search log.

Abstract: A device obtains data, for a current media plan, that includes a cost adjustment factor, a duration of an unexecuted portion of the current media plan that is divisible into periods of time, and an unutilized budget, for the duration, that is divisible into budget portions based on the periods of time. The device generates a predictive baseline cost parameter by adjusting, by the cost adjustment factor, a baseline cost parameter of a previously implemented baseline media plan. The device predicts cost metrics for the current media plan using the predictive baseline cost parameter, and predicts performance metrics for the current media plan based on the cost metrics and predictive baseline cost parameter. The device determines target cost per point (CPP) values for the current media plan based on the cost metrics and performance metrics, and causes an action to be performed based on the target CPP values.

Abstract: An example method for thermally preconditioning a meeting space includes determining that a meeting is electronically scheduled for a meeting space for a plurality of attendees. A thermal preconditioning setpoint for the meeting space is determined based on individual thermal preferences of the plurality of attendees, and a historical setpoint of the meeting space. A time required to achieve the thermal preconditioning setpoint is determined based on the thermal preconditioning setpoint and a temperature of the meeting space before the scheduled meeting. Thermal preconditioning of the meeting space is initiated based on the determined thermal preconditioning setpoint and the determined time.