Abstract: Methods and apparatus for redirecting data access requests in a storage network are disclosed. In an embodiment, a computing device associated with the storage network performs a method that includes identifying a (second) storage pool of the storage network to replace a first storage pool of the storage network. The method includes issuing a migration message to at least one of the first storage pool or the second storage pool. The migration message initiates a replication of data from the first storage pool to the second storage pool. The method further includes receiving a write data request for the first storage pool prior to completion of the replication of the data, and forwarding the write data request to the second storage pool for further processing.

Abstract: Methods for controlling actuating components of turbine engines using an adaptive damping lag filter are provided. The adaptive filter includes features that filter out insignificant changes in actuator demand, respond to fast transient conditions to follow demanded positon of the actuating component more closely, and adapts the gain of the output position to avoid stall conditions.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to determine text on an object. In some embodiments, there is provided a system to determine text of interest on an object of interest including at least one camera and a control circuit configured to execute a machine learning model trained to identify the text of interest, group into a cluster each node point that is located substantially in the same location in the text of interest, determine a score value of each particular character in the cluster, identify the particular character that has a determined score value corresponding to at least a threshold score value relative to all characters in the cluster, assign the particular character having the determined score value corresponding to at least the threshold score value as a recognized character in the cluster, and transmit to a display monitor overlay data.

Abstract: Apparatuses, methods, program products, and systems are disclosed for an intelligent knowledge platform. An apparatus includes a processor and a memory. The memory stores code executable by the processor to receive data associated with a project, the data describing one or more characteristics of the project; determine, using machine learning rules and algorithms, one or more metadata tags for the data for classifying the data; match the classified data to one or more predetermined knowledge insights for the project based on the metadata tags, the one or more predetermined knowledge insights stored in a knowledge database; and present, on a digital display device, the one or more predetermined knowledge insights.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to train a machine learning algorithm to detect text of interest. In some embodiments, there is provided a system to detect vertically oriented text of interest including a first data set comprising a plurality of captured digital images each depicting an object of interest and a second data set comprising a plurality of augmented digital images each depicting a captured digital image augmented with a synthetic text image; a first control circuit configured to cause the machine learning algorithm to output a machine learning model trained to automatically detect occurrences of vertically oriented text of interest based on the first data set and the second data set; at least one camera; and a second control circuit configured to execute the machine learning model to automatically detect vertically oriented text of interest on the object of interest.

Abstract: An article comprising: (a) one or more nonwoven material layers comprising a lofted fibrous material; and (b) one or more molded material layers having a fibrous matrix, wherein the article is configured to at least partially thermally insulate an item or compartment and the article absorbs external heat or cold to substantially prevent amplitude of temperature fluctuation of the item or within the compartment.

Abstract: An AI based platform for processing information collected during a medical procedure. A method includes capturing images and speech during a medical procedure; processing the images using a trained classifier to identify image-based quality-of-care indicators (QIs); converting the speech into text; parsing the text into sentences; performing a search and replace on predefined text patterns in the sentences; identifying text-based QIs in the sentences; classifying sentences into sentence types using a trained model; updating sentences by integrating the image-based QIs with text-based QIs; and outputting structured data that includes sentences organized by sentence type.

Abstract: A method and a system for agitation detection and response for a programming language are provided. The method includes collecting software code and activity data pertaining to one or more activities performed by a developer that is using a segment of a programming language. The method also includes evaluating the activity data to generate an agitation level of the developer when using the segment of the programming language. The method can also include generating a developer context by evaluating the software code. The developer context can include insights into the operation of features in the programming language by the developer. The activity and developer context can be provided to a software development provider for independent analysis.

Abstract: A transaction is pre-staged by providing transaction preferences, such as a financial instrument, a transaction type, and a transaction amount, to a user device. The user device captures a visual code at a terminal, such as an ATM. The visual code includes terminal attributes, including a signed hash and call-back URI. The user device authenticates the visual code using the signed hash and requests the transaction through the issuer server. The issuer server creates and sends the card data to the call-back URI. The terminal uses the card data to create a transaction request it routes to through its acquirer server.

Abstract: Examples of systems described herein include a virtualized file server including a first file server virtual machine and a second file server virtual machine configured to manage a distributed file share of storage items. The second file server virtual machine is configured to manage a particular storage item of the distributed file share of storage items. The first file server virtual machine is configured to, in response to receipt of a referral request for a file share path for the particular storage item from a client, look up a file share path for the particular storage item in a map of at least a portion of the distributed file share of storage items, and provide a referral with the file share path that identifies the second file server virtual machine.

Abstract: A highly available database system includes a first instance of a database server on a first cluster of a virtual computing system, a second instance of the database server on a second cluster of the virtual computing system, a first instance of an administration database on the first cluster, and a second instance of the administration database on the second cluster. The first instance of the database server and the second instance of the database server form a highly available database server, the first instance of the administration database and the second instance of the administration database form a highly available administration database, and the first instance of the database server, the second instance of the database server, the first instance of the administration database, and the second instance of the administration database are configured to manage at least one customer database.

Abstract: According to one embodiment, a method, computer system, and computer program product for provisioning a tag schema. The embodiment may include determining data types for tag-keys within an existing ecosystem of tags. Each tag of the existing ecosystem comprises a tag-key and a tag-value. The embodiment may include performing pairwise clustering of the tags within the ecosystem. The embodiment may include identifying a main tag-key within each cluster of tags. The embodiment may include grouping the clusters into a broader category. The embodiment may include providing a tag schema recommendation for the ecosystem based on the grouped clusters.

Abstract: Methods, systems, and computer program products for accelerating inference of transformer-based models are provided herein. A computer-implemented method includes obtaining a machine learning model comprising a plurality of transformer blocks, a task, and a natural language dataset; generating a compressed version of the machine learning model based on the task and the natural language dataset, wherein the generating comprises: obtaining at least one set of tokens, wherein each token in the set corresponds to one of the items in the natural language dataset, identifying and removing one or more redundant output activations of different ones of the plurality of transformer blocks for the at least one set of tokens, and adding one or more input activations corresponding to the one or more removed output activations into the machine learning model at subsequent ones of the plurality of the transformer blocks; and outputting the compressed version of the machine learning model to at least one user.

Abstract: A system includes a multidimensional array of homogenous Functional Configurable Units (FCUs), coupled using a multidimensional array of switches, and a parameter store on the device which stores parameters that tag a subarray of FCUs as unusable. Technologies are described which change the pattern of placement of configuration data, in dependence on the tagged subarray, by changing the routing through the array of switches. As a result, a multidimensional array of FCUs having unusable elements can still be used.

Abstract: A system includes a multidimensional array of homogenous Functional Configurable Units (FCUs), coupled using a multidimensional array of switches, and a parameter store on the device which stores parameters that tag a subarray of FCUs as unusable. Technologies are described which change the pattern of placement of configuration data, in dependence on the tagged subarray, by changing the routing through the array of switches. As a result, a multidimensional array of FCUs having unusable elements can still be used.

Abstract: In an approach, a processor receives a request to access an electronic resource from a device. A processor causes the device to generate a Completely Automated Public Turing test (CAPTCHA), where the CAPTCHA comprises: a virtual keyboard; an ordered string of characters required to be input; and presentation of a highlighted key of the virtual keyboard on the device, wherein (i) the highlighted key is a first key visually distinct from other keys of the virtual keyboard and (ii) the first key corresponds to a character of the ordered string of characters. A processor receives a result of the CAPTCHA from the device. A processor performs an action based on the result.

Abstract: A computer system trains a machine learning model to estimate a real-world measurement of a feature of a structure. The machine learning model is trained using a plurality of digital image sets, wherein each image set depicts a particular structure, and a plurality of measurements, wherein each measurement is a measurement of a feature of a particular structure. After the machine learning model is trained, it is used to estimate a measurement of a feature of a particular structure depicted in a particular image set.

Abstract: A method of training a comfort model used for controlling a heating, ventilation, and air-conditioning, HVAC, system. The method includes: a user device providing a plurality of user feedbacks, each of the plurality of user feedbacks is provided at a respective point in time and describes a thermal comfort of a user using the user device; at each point in time associated with the plurality of user feedbacks, each of a plurality of HVAC devices detecting running parameters; and for each of the plurality of user feedbacks: inputting the running parameters of each of the plurality of HVAC devices detected at the respective point in time into the comfort model to generate a predicted thermal comfort, determining a loss value by comparing the predicted thermal comfort with the thermal comfort described by the respective user feedback, and training the comfort model to reduce the loss value.

Abstract: A heating, ventilation, and air-conditioning, HVAC, system and a method of controlling a HVAC system, The method includes: successively for at least two HVAC devices of a plurality of HVAC devices: controlling the HVAC device in accordance with a set target temperature value which is different from an environmental temperature value, wherein the other HVAC devices of the plurality of HVAC devices are deactivated or running with unvarying running parameters, and for at least two environmental sensors of a plurality of environmental sensors, determining whether environmental parameters detected by the environmental sensor change; correlating at least one environmental sensor to the HVAC devices for which a change of the environmental parameters is determined; and controlling the HVAC system to change at least one environmental parameter associated with the at least one environmental sensor using the HVAC devices correlated with the at least one environmental sensor.

Abstract: The present technology provides a system, method and computer-readable medium for configuration pattern recognition and inference, directed to a device with an existing configuration, through an extensible policy framework. The policy framework uses a mixture of python template logic and CLI micro-templates as a mask to infer the intent behind an existing device configuration in a bottom-up learning inference process. Unique values for device/network identifiers and addresses as well as other resources are extracted and accounted for. The consistency of devices within the fabric is checked based on the specific policies built into the extensible framework definition. Any inconsistencies found are flagged for user correction or automatically remedied by a network controller. This dynamic configuration pattern recognition ability allows a fabric to grow without being destroyed and re-created, thus new devices with existing configurations may be added and automatically configured to grow a Brownfield fabric.