Abstract: An embodiment includes classifying an incoming communication message as having an instruction classification based on a natural language processing (NLP) analysis of the incoming communication message. The embodiment extracts, responsive to classifying the incoming communication message as having the instruction classification, user operations as a workflow dataset. The embodiment clusters the workflow dataset into a task cluster with other similar workflow datasets representative of previously-extracted user operations. The embodiment designates the instruction classification as a trigger event based at least in part on the NLP analysis of the incoming communication message. The embodiment generates a robotic process automation (RPA) bot script that comprises program instructions executable by a processor to cause the processor to perform operations that automate the user operations in response to the trigger event.

Abstract: A method for transmitting web-conference content over a network connection is disclosed. In one embodiment, such a method conducts a web conference over a network connection. The method monitors characteristics of the network connection in order to determine bandwidth of the network connection during the web conference. The method implements, on the network connection, a “raw” mode wherein audio data of the web conference is transmitted over the network connection in an original format. Upon detecting a low bandwidth condition on the network connection, the method toggles from the “raw” mode to a “saving” mode where audio data of the web conference is converted to text at a first end of the network connection, transmitted over the network connection as text, and converted from text back to audio data at a second end of the network connection. A corresponding system and computer program product are also disclosed.

Abstract: A computer-implemented method to generate a hotspot confidence score for a hotspot in a network graph includes, receiving input data, wherein the input data includes a plurality of messages, each message containing a set of message data. The method further includes generating, based on the plurality of messages, a network graph. The method also includes identifying, in the network graph, a first hotspot. The method includes compiling a set of hotspot characteristics for the first hotspot. The method further includes receiving, in response to identifying the first hotspot, a first user feedback. The method also includes, generating, by a learning model, a hotspot confidence score for the first hotspot; and outputting the hotspot confidence score.

Abstract: A computer-implemented method is provided of using a machine learning model for disentanglement of prosody in spoken natural language. The method includes encoding, by a computing device, the spoken natural language to produce content code. The method further includes resampling, by the computing device without text transcriptions, the content code to obscure the prosody by applying an unsupervised technique to the machine learning model to generate prosody-obscured content code. The method additionally includes decoding, by the computing device, the prosody-obscured content code to synthesize speech indirectly based upon the content code.

Abstract: Road condition prediction for potentially hazardous road segments is described. For roadways that may contain accumulated frozen precipitation, a road segment for road condition prediction is selected based on weather conditions. Various models including a solar radiation budget model, a permanent structures model, a dynamic structures model, and a road condition model are generated for the selected road segment and account for shading effects on the road segment caused by objects near the road segment. A road condition prediction for hazardous conditions on the road segment is determined based on the road condition model and provided to a driver to alert the driver of any potentially hazardous conditions.

Abstract: Embodiments may include novel techniques to communicate user preferences to the FaaS provider so as to provide full applicability of FaaS for business critical applications and to provide full realization of the FaaS model flexibility. For example, in an embodiment, a method may be implemented in a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, and the method may comprise receiving a request for processing of a computing task and associated data indicating a context of an overall process flow for the computing task, wherein the request for processing is a function invocation for a FaaS computing system, evaluating the data indicating the context and scheduling computing resources for performing the computing task based on the data indicating the context, and performing the computing task using the scheduled computing resources.

Abstract: Provided are a tape guide roller and tape drive having a guide roller having magnets and bushings to stabilize a roller barrel for a tape medium. The tape guide roller has a roller barrel extending around a vertical axis. The tape medium passes across the roller barrel to guide the tape medium on a tape path. A plurality of magnets positioned with respect to the vertical axis provide an axial force to stabilize the tape guide roller axially.

Abstract: A method, computer system, and a computer program product for detecting face mask usage based on a crowd sound is provided. The present invention may include capturing an audio stream including a crowd voice data. The present invention may also include analyzing the crowd voice data using a machine learning model to determine an amount of people wearing masks. The present invention may further include in response to determining that the amount of people wearing masks does not meet a compliance threshold, displaying a content to promote face mask usage.

Abstract: Masking a route by determining a first location of a first user, receiving destination data for the first user, generating a plurality of map segments according to the first location and the destination data, presenting a first map segment to a second user, determining a second location of the first user, and presenting a second map segment to the second user according to the second location.

Abstract: According to one embodiment, a method, computer system, and computer program product for smoothing one or more surfaces of a 3D-printed object in reduced gravity is provided. The present invention may include positioning one or more radiative heating elements to evenly heat one or more surfaces of a 3D-printed object based on a shape of the 3D-printed object; determining, for at least one of the one or more radiative heating elements, a desired heat output necessary to melt the outermost layers of the one or more surfaces; and pulsing the one or more radiative heating elements to melt the one or more surfaces, wherein the duration and frequency of the pulsing is configured to achieve the desired heat output.

Abstract: A computer-implemented method, according to one implementation, includes: monitoring requests received for an AI interface prompt in real-time, and determining whether one or more of the requests violate compliance metrics. Risk scores are calculated for requests determined as violating the compliance metrics. The requests determined as violating the compliance metrics are updated by implementing protective measures correlated with the calculated risk scores. Moreover, the updated requests are sent to the AI interface prompt.

Abstract: A system, platform, computer program product, and/or method for managing UAV resources is disclosed that includes: receiving UAV specifications to provision one or more UAVs; converting the UAV specifications to UAV specification metadata; transforming the UAV specification metadata to UAV configuration metadata to configure UAV software for the one or more UAVs; and configuring, using the UAV configuration metadata, the UAV software for the one or more UAVs. The system, platform, program product, and method can further include assembling, using the UAV configuration metadata, the UAV hardware of the one or more UAVs; deploying the one or more UAVs from a base location to a new location; transferring control over operation of the one or more UAVs to a third-party operator; creating and configuring a network connection to the one or more UAVs; and/or remotely logging into an operating system of the one or more UAVs.

Abstract: A computer-implemented method, a computer program product, and a computer processing system are provided for online learning for a Dynamic Boltzmann Machine (DyBM) with hidden units. The method includes imposing, by a processor device, limited connections in the DyBM where (i) a current observation x[t] depends only on latest hidden units h[t-1/2] and all previous observations x[<t] and (ii) the latest hidden units h[t-1/2] depend on all the previous observations x[<t] while being independent of older hidden units h[t-1/2]. The method further includes computing, by the processor device, gradients of an objective function. The method also includes optimizing, by the processor device, the objective function in polynomial time using a stochastic Gradient Descent algorithm applied to the gradients.

Abstract: A computer-implemented method for altering an appearance of an electrochromic coating of a vehicle is provided. The method includes determining that a vehicle is a boundary area of a testing zone based on a determined location of the vehicle. The method also includes changing a base appearance of the electrochromic coating of the vehicle to an altered appearance based on the determination that the vehicle is in the boundary area.

Abstract: Aspects of the invention include computer systems, computer-implemented methods, and computer program products configured to integrate documentation knowledge with log mining data. A non-limiting example computer-implemented method includes determining a message-message relationship based on log message documentation and building a first subgraph based on the message-message relationship. The method further includes receiving a first message log entry having a message identifier and message field data. A second message log entry is correlated with the first message log entry based on at least one of the message identifier and the message field data. A second subgraph is built that includes the first message log entry and the second message log entry. The method includes building a graph that includes the first subgraph and the second subgraph.

Abstract: A method for fabricating a fluidic device includes depositing a sacrificial material on a pillar array arranged on a substrate. The method also includes removing a portion of the sacrificial material. The method further includes depositing a sealing layer on the pillar array to form a sealed fluidic cavity.

Abstract: An embodiment includes generating a query prompting a user to select from among a plurality of response options related to a first query set of objects. The embodiment also receives, responsive to the query, user input representative of a selected response option selected by the user from among the plurality of response options. The embodiment also calculates a plurality of weight values for respective ones of a plurality of similarity matrices based on the selected response option, where the plurality of similarity matrices include respective different sets of similarity values, each set of similarity values comprising similarity values representative of similarities of respective pairs of the plurality of objects. The embodiment stores a designated similarity matrix that is selected from among the plurality of similarity matrices based at least in part on a weight value from among the plurality of weight values assigned to the designated similarity matrix.

Abstract: A method including: receiving a set of data representing usage by entities of objects in a computing resource; extracting, from the initial set of data, one or more feature vectors representing the usage by one of the entities with respect to the objects; generating, from the feature vectors, a feature matrix; with respect to each entry in the feature matrix: (i) assigning a binary value to the entry, based on a predefined usage threshold, (ii) identifying, among the one or more entities, k nearest neighbor entities with respect to the one of the entities, based on a predefined distance threshold, and (iii) modifying the usage value of the entry, based on usage values associated with each of the k nearest neighbor entities with respect to the one of the objects; and updating the feature matrix with the modified usage values, to obtain a manipulated feature matrix.

Abstract: A computer-implemented method, according to one embodiment, includes: receiving an image having characters that correspond to a language, and using a text recognition algorithm to determine a first language believed to correspond to the characters. A first confidence level associated with the first language is also computed, and a determination is made as to whether the first confidence level associated with the first language is outside a predetermined range. In response to determining that the first confidence level associated with the first language is not outside the predetermined range, the first language is output as the given language. The text recognition algorithm is trained using a simple shallow neural network and a generated mixed language corpus. The generated mixed language corpus is formed by: randomly sampling libraries having vocabulary and/or characters therein, and combining the randomly sampled vocabulary and/or characters to form the generated mixed language corpus.

Abstract: A method, system, and computer program product for error detection and correction of query expressions are provided. The method extracts a first set of queries from a set of programs prior to query editing. A first word set is generated from the first set of queries. A second set of queries are extracted from the set of programs after query editing. A second word set is generated from the second set of queries. The method determines a set of differences for word pairs within the first word set and the second word set. A third word set is generated from one or more edited queries based on the set of differences. The method generates an error report for the third word set based on the third word set and the set of differences.