International Business Machines Corporation

Amrita Saha

Srikanth Govindaraj Tamilselvam

Pankaj Satyanarayan Dayama

Priyanka Agrawal

Vikas Raykar

Ghulam Ahmed Ansari

Noam Slonim

Raghavendra Singh

Sai Koti Reddy Danda

Sarbajit Kumar Rakshit

Amit Anil Nanavati

Ashish Verma

Ehud Aharoni

Mohit Jain

Sampath Dechu

Indrajit Bhattacharya

Roy N Bar-Haim

Dan Gutfreund

Ayushi Dalmia

Chen Yanover

Mitesh Khapra

Francesco Dinuzzo

An approach to real-time multi-agent visual question answering in a decentralized environment. The approach can include initializing a plurality of agents based on data associated with an image and a question about the image. The approach can include identifying a first portion of the plurality of agents to construct a grid of agents based on similarity between the first portion of agents. The approach can include determining a second portion of agents of the first portion of agents with edges between agents allowing sharing of agent concepts and agent parameters. The approach can include generate training trajectories of the grid of agents based on executing a collaborative rollout. Additionally, the approach can include optimizing agent policies of the grid of agents.

Decentralized online multi-agent visual question answering

Methods, apparatus, and processor-readable storage media for facilitating a secure platform for point-to-point brain sensing are provided herein. An exemplary method includes presenting a user of a brain-computer interface with learning content; monitoring brain signals of the user using a brain-computer interface while the learning content is being presented; determining, based at least in part on said monitoring, that a confusion state of the user exceeds a personalized confusion threshold in regard to at least a part of the learning content; in response to said determining, outputting information to assist the user in understanding the part of the learning content until the confusion state of the user is below the personalized confusion threshold.

Secure platform for point-to-point brain sensing

Methods, systems, and computer program products for pressure-based apparel image searching are provided herein. A computer-implemented method includes converting images in a product catalog of an electronic commerce website to a predetermined representation; storing the converted images in an index; determining a first object of interest within an image derived from a social media post and displayed on a screen, by detecting physical contact imparted by a user at a position on the screen corresponding to where the first object of interest is located; quantifying the amount of pressure applied by the user via the physical contact; determining additional objects of interest within the image based on the amount of pressure applied by the user; retrieving, from the index, images of products corresponding to the first object of interest and images of products corresponding to the additional objects of interest; and displaying the retrieved images on the screen.

Touch and pressure-based apparel image searching

One embodiment provides a method, including: receiving, at an information handling device, drawing input; identifying, using a processor, at least one object in the drawing input; determining, based on the identifying, whether a factual anomaly exists in the drawing input with respect to the at least one object; and notifying, responsive to determining that a factual anomaly exists, a user of the factual anomaly.

Image object anomaly detection

Embodiments describing an approach to evaluate text and image consistency. Receiving one or more images. Receiving one or more text documents. Identifying relevant text in the one or more text documents. Determining the consistency between the one or more images and the one or more text documents. Creating one or more image and text consistency scores based on the determined consistency between the one or more images and the one or more text documents, and outputting the one or more image and text consistency scores for evaluating text and image consistency.

Evaluating image-text consistency without reference

One embodiment provides a method, including: detecting, on a social media application, a media object comprising at least one image of a final product made from at least one purchased raw product; extracting, from the media object and text corresponding to the social media application post, (i) information related to the final product and (ii) social feedback regarding the final product; determining, based upon the social feedback, that the use of the at least one purchased raw product into the final product comprises positive social feedback; and providing a recommendation regarding the use of the at least one purchased raw product to one or more other individuals, wherein the recommendation is generated using the information related to the final product.

Product usage identification and recommendation provision

An example operation may include one or more of receiving, by a monitoring peer, data collection requirements from a model builder node, querying, by the monitoring peer, a blockchain of a plurality of blockchains for data sets that match the data collection requirements, providing, by the monitoring peer, the data sets to the model builder node to be tested, receiving, by the monitoring peer, a performance feedback on the data sets from the model builder node; and updating, by the monitoring peer, a smart contract associated with the data sets on the blockchain based on the performance feedback.

Data quality control

Aspects of the present invention disclose a method, computer program product, and system for recommending an apparel product is provided. The method for recommending an apparel product may include one or more processors identifying a user selection of an apparel product, wherein the apparel product includes information associated with retail websites. The method further includes one or more processors categorizing the apparel product into one or more groupings based upon user preferences, wherein the grouping is based on available versions of the apparel product. The method further includes one or more processors determining current apparel preference information corresponding to the user based on user preferences, fitness application data, health monitoring application data, and user-provided measurements. The method further includes one or more processors determining a recommended garment of the identified user-selected apparel product based on mapping the determined apparel preference information to product specifications of the identified user-selected apparel product.

Determining apparel-based recommendations for a user

One embodiment provides a method, including: receiving, from a user, input for manipulating an image, wherein the input (i) identifies a particular image element and (ii) identifies an operation a user wants to perform with respect to the image element; identifying a context of the image, wherein the identifying the context comprises identifying (i) existing image elements already included within the image and (ii) attributes of the existing image elements; determining, based upon the context, attributes for the image element utilizing a knowledge store comprising information regarding attributes for image elements in view of (i) contexts and (ii) operations; and thereafter, performing the operation utilizing the image element having the attributes.

Multistep interactive image generation utilizing knowledge store

A method, computer system, and a computer program product for automatically recommending a plurality of text snippets from a book script for a movie adaptation is provided. The present invention may include receiving, by a user, a piece of input data, wherein the input data includes the book script, and a plurality of past book-to-movie adaptations. The present invention may then include identifying a plurality of text snippets associated with the received book script. The present invention may also include recommending the plurality of text snippets associated with the received book script to include in a movie based on the plurality of past book-to-movie adaptations and a plurality of movie reviews corresponding with the plurality of past book-to-movie adaptations.

Personalized book-to-movie adaptation recommendation

One embodiment provides a method, including: receiving a user wardrobe query related to at least one item in a user's wardrobe to be worn for an event, wherein the user wardrobe query corresponds to at least one of an outfit recommendation query and an outfit sharing query; accessing a database comprising user profiles, each of the user profiles comprising (i) a listing of the at least one item in a user's wardrobe, (ii) at least one attribute of a user, and (iii) feature information for each of the at least one items indicating a feature of the item; determining at least one score for each of the at least one items; and providing at least one recommendation responsive to the user wardrobe query, wherein the at least one recommendation comprises an item from the user's wardrobe or another user's wardrobe having a score above a predetermined threshold.

Coordinated event based wardrobe recommendation

A computer scans user data for upcoming events and identifies a potential gift giving event from these events using contextual information about the events to determine the events' nature. The computer identifies a plurality of event attendees and analyzes information about two or more of the event attendees. The computer groups a plurality of people into a group of potential gift collaborators, wherein the plurality of people is chosen from the plurality of attendees. The computer generates a first potential gift list. The computer analyzes gift giving abilities of the group members and selects, based partially upon the analysis, a gift giver. The computer generates a second potential gift list with detailed information about one or more potential gifts wherein the gifts are based partially on the first potential gift list. The computer provides at least a portion of the second potential gift list to the selected gift giver.

Computer provided assistance for coordinating gift collaboration

One embodiment provides a method, including: creating, for a user, a sound desirability index comprising (i) a plurality of sounds and (ii) desirability of the sound to the user with respect to each of the plurality of sounds, wherein the sound desirability index is created in response to the user hearing a sound and the environment of the user when hearing the sound; receiving an audible input within hearing proximity of the user; identifying the current environment of the user; determining the desirability of the audible input to the user by accessing the sound desirability index, and determining the desirability of the audible input based upon a sound in the audible input and the current environment of the user; and modifying a characteristic of at least a portion of the audible input based upon the desirability of the audible input to the user.

Filtering sound based on desirability

Methods, systems and computer program products for wastage estimation are provided herein. A computer-implemented method includes receiving, via a user interface, selection of a product for which an estimation of wastage incurred in manufacture thereof is desired and determining one or more orientation suggestions for the selected product, the one or more orientation suggestions including suggestions for imaging different views of the selected product for use in estimating the wastage incurred in manufacture thereof. The method also includes providing, via the user interface, one or more prompts for imaging the selected product at the one or more orientation suggestions, thereby obtaining images of the selected product, utilizing the obtained images of the selected product to calculate an estimated wastage incurred in manufacturing the selected product, and displaying, via the user interface, a display element indicating the estimated wastage incurred in manufacturing the selected product.

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Bengaluru, India

Amrita Saha