International Business Machines Corporation

Saurabh Yadav

Shikhar Kwatra

Raghuveer Prasad Nagar

Stefan Ravizza

Frederik Frank Flöther

Sarbajit Kumar Rakshit

Aaron K Baughman

Arvind Kumar

Sushain Pandit

Vinod A Valecha

Partho Ghosh

Christopher Douglas Hanudel

Joseph Paul Hughes

Patrick Lustenberger

Eric Jeffery

David Ocheltree

Matthias Biniok

Hiti Sinha

Amrita Maitra

In an approach, a processor creates a multi-layered knowledge graph (KG), wherein a first layer is a core KG, a second layer has application-specific structured facts, and a third layer has individualized facts. A processor adapts weights in each layer of the multi-layered KG based on the individualized facts. A processor uses, as input data to the multi-layered KG, individual environmental data. A processor maps the input data to the multi-layered KG in a sequence of the first layer, the second layer, and the third layer. A processor selects, as relevant nodes in the first layer and the second layer, the relevant nodes lying on a selected path from the input data via the first layer, the second layer, and the third layer having the highest average weight value along the selected path. A processor outputs facts of the relevant nodes from the first layer and the second layer.

Environment augmentation based on individualized knowledge graphs

A computer captures a voice of a user. The computer determines a frequency spectrum and a voice pattern of the voice. The computer identifies one or more topics of the voice by transcribing the voice by a natural language processing. The computer identifies the user based on matching the frequency spectrum of the voice to the frequency spectrum of the conversation and the pattern of the voice to the pattern of the conversation when a conversation is intercepted and determines a trust score based on comparing the one or more topics to the one or more topics extracted from the conversation.

AI based system and method for corners of trust for a caller

The present specification describes a computer-implemented method. According to the method, user-specific tags are generated for a virtual reality (VR) object displayed within a VR environment. The user-specific tags are generated based on an interaction of a first user with the VR object. Role-based access rights are assigned to the user-specific tags. A role of a second user accessing the VR environment is determined and the user-specific tags are presented to the second user, alongside the VR object, based on a comparison of the role of the second user and the role-based access rights.

Virtual reality object tag presentation

In an approach to meeting summarization for disconnected participants, one or more computer processors detect a start of a collaborative meeting. One or more computer processors monitor a connection to the collaborative meeting of each of one or more participants. One or more computer processors determine a first participant of the one or more participants has disconnected from the collaborative meeting. One or more computer processors record the collaborative meeting. One or more computer processors determine the first participant has re-connected with the collaborative meeting. One or more computer processors synthesize, a first summary of a portion of the collaborative meeting missed by the first participant. One or more computer processors to synthesize, a second summary of a portion of the collaborative meeting recorded after the first participant re-connected with the collaborative meeting. One or more computer processors present the first summary and the second summary to the first participant.

Meeting content summarization for disconnected participants

A computer device trains a neural network to determine power recharging directions between sets of computing devices based on historical computing device data and historical user eye data. The computing device receives, from an augmented reality device, computing device data pertaining to a first computing device and a second computing device, and user eye data pertaining to a user associated with the first computing device and the second computing device. The computing device determines a power recharging direction between the first computing device and the second computing device based, at least in part, on providing the received computing device data and the received user eye data as input to the neural network, resulting in an identification of a source computing device and a target computing device. The computing devices triggers a power recharging cycle, wherein the source computing device transfers direct current power to the target computing device.

Augmented reality based power management

A method can include obtaining contact data corresponding to a set of contacts of an authorization card. The contact data can indicate a set of engaged contacts among the set of contacts. The method can include obtaining activation data corresponding to a set of predetermined engaged contacts among the set of contacts. The method can include determining, by comparing the contact data to the activation data, that the set of engaged contacts matches the set of predetermined engaged contacts. The method can include changing, in response to the determining, a state of the authorization card from an inactive state to an active state. The method can include permitting, in response to the changing the state, an electronic transfer of authorization data from the authorization card.

Touch-sensitive card security

In an approach, a processor receives a request to purchase an item from a retailer, where the request includes a location. A processor receives a request to purchase an item from a retailer, where the request includes location information associated with a buyer. A processor identifies that the item is unavailable from the retailer. A processor determines a plurality of users predicted to have a surplus quantity of the item beyond each respective user's estimated needs at a time of the request. A processor sends an offer to the plurality of users to transfer the item in accordance with the request. A processor, responsive to receiving an acceptance of the offer, selects at least one accepting user, of the plurality of users, based on geographic proximity to the location information. A processor coordinates fulfillment of the request by the at least one user.

Fulfilling orders using supply from identified users

A method and a related system for allocating target locations to optimize trajectories between several objects and the target locations may be provided. The method comprises capturing location data of the target locations as well as location and movement data of the objects, building a graph using the target locations as well as the location and movement data and integrating constraints into the graph. Furthermore, the method comprises determining for each of the several objects a desired target location using a first optimization system, thereby determining endpoints of a trajectory between each of the objects and its respective desired target location and selecting for each of the several objects an optimal path as the trajectory between the object and the desired target location, using a second optimization system, and taking into account movements of other objects along their trajectories.

Graph enabled location optimization

Embodiments include a method for optimizing order fulfillment conditions. Information of an order fulfillment is received, including items included in an order, inventory information of the items included in an order from one or more entities at respective locations, and timeline information of a user associated with the order fulfillment information. A selection of an entity at a first location is determined from the one or more entities at respective locations, and a time schedule associated with the order fulfillment is determined. Conditions are determined that correspond to the entity at the first location and a travel route to the first location, and responsive to determining the conditions corresponding to the travel route and the first location of the entity to be unfavorable for the order fulfillment, a modification is performed on the information of the order fulfillment resulting in favorable conditions for the order fulfillment.

Optimization of order fulfillment conditions

A method can include obtaining access code data corresponding to an access code transmitted to a user device. The method can further include monitoring the user device. The method can further include determining, based on the monitoring, that the access code is shared. The method can further include initiating, in response to the determining that the access code is shared, an invalidation of the access code.

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Bengaluru, India

Saurabh Yadav