International Business Machines Corporation

Shaila Pervin

Nebula Alam

Mani Abedini

Jorge Andres Moros Ortiz

Fang Lu

John Michael Wagner

Lenin Mehedy

Craig M Trim

Charles Evan Beller

Fatemeh Jalali

Lisa Seacat DeLuca

Rajib Chakravorty

Christopher John Butler

Adam Eberbach

Lida Ghahremanlou

Thomas Charles Conway

Mahtab Mirmomeni

Mahathir Almashor

Cesar Augusto Rodriguez Bravo

Timothy Michael Lynar

Mukesh Kumar Mohania

Alaa Abou Mahmoud

Michael James McGuire

Simon Harris

Khoi-Nguyen Dao Tran

Andrew Rawlinson

Daniel Terlizzi

Josh Andres

Ross Warren Judd

Julia Ruth Nash

Fatemah Jalali

Karen Hardie

Wanita Sherchan

Josh Andres Jorge Ortiz

Ana Valencic

Mahjabeen Huq

Jennifer Lai

Vignesh Kumaresan

Jason Jingshi Li

Jey Han Lau

Will Dubyak

A computer-implemented prediction method, system, and computer program product including detecting an anomaly between at least two images in a social media timeline, analyzing at least one of contextual data and image data associated with the at least two images that cause the anomaly, and predicting an actual time of the at least two images in the social media timeline based on the analyzed at least one of contextual data and image data.

Predicting a time of non-real time posts using contextual metadata

Technology for determining at least one physical property of a physical volumetric substance within a container over a time interval and rendering a virtual representation of the physical volumetric substance in a virtual reality environment. At least one physical property of the physical volumetric substance is captured by a plurality of snapshots over a time interval. The plurality of snapshots is captured by one or more components capable of identifying at least one physical property of the physical volumetric substance. The plurality of snapshots is transmitted to process, render and/or display a virtual representation of the physical volumetric substance. The virtual representation of the physical volumetric substance is based, at least in part, on the captured plurality of snapshots. An indicator data set, indicative of the one or more physical properties of a physical volumetric substance, may be transmitted to an external client.

Tracking and rendering physical volumetric substances in virtual reality

A method for automatically generating a semantic contextual message is provided. The method includes: prompting a user to grant access to a plurality of data sources of the user and to a plurality of contacts of the user; prompting the user to set a preference for each contact listing which of the data sources are shareable with the corresponding contact; monitoring a network for an incoming communication from a caller to the user, and determining whether the user is available to receive the incoming communication; identifying one of the contacts associated with the incoming communication, collecting data from the data sources listed by the preference of the identified one contact, and generating a semantic contextual message based on the collected data, when it is determined that the user is not available; and outputting the semantic contextual message across the network to the caller.

Messaging system for automatically generating semantic contextual messages

A system for adapting virtual reality (VR) or augmented reality (AR) content for learning based on a user's interests includes a personalization engine that determines a user's interests and knowledge level regarding a topic, a content modifier that modifies VR or AR content related to the topic according to the users interests and knowledge level, an object selector that selects VR and AR models used to teach the topic during a VR or AR session and modifies the VR and AR models with the modified content based on the user's interests and knowledge level; a VR engine that renders the modified VR and AR models into VR or AR images, and a VR display that displays the VR or AR images. The user's engagement is measured during interaction with the VR display and used to refine and improve an understanding of the user's interest and knowledge level regarding the topic.

Adaptable VR and AR content for learning based on user's interests

At a sending electronic device, from a remote location, an indication is received of an environment at a receiving mobile electronic device to which the sending electronic device is to send a message. It is determined how to send the message from the sending electronic device to the receiving mobile electronic device, based on the indication of the environment at the receiving mobile electronic device. The message is sent from the sending electronic device to the receiving mobile electronic device in accordance with the determining step.

Mobile device sending format translation based on message receiver's environment

A result format modifying method, system, and non-transitory computer readable medium, include extracting, from a database including a plurality of display format types of a search result of a search conducted by a user, the plurality of display format types of the search result conducted by the user, and deciding a display format of the plurality of display format types to output to the user based on a time interval between a current time and the start time of the user's next activity as determined by the determining, where the display format of the search result to the user corresponds to a delivery that is digestible by the user within a specific length of a time interval out of a first time interval and a second time interval, the first time interval being longer than the second time interval.

System, method, recording medium for dynamically changing search result delivery format

A computer-implemented method for operating a set of electronic sensors. The method includes detecting, by one or more sensors embedded in a table, that a tray associated with a user is placed on the table. The method further includes detecting, by the one or more sensors embedded in the table, a first weight of contents on the tray at a first time, and detecting, by the one or more sensors embedded in the table, a second weight of the contents on the tray at a second time. The method further includes determining a final weight of the contents on the tray when the tray is no longer associated with the user.

Smart table sensor environment

A technique relates to communication resource allocation. A computer system monitors a communication between a conversational entity communication channel and a user device. A type of the communication associated with the user device is determined based on the communication. A replacement communication channel to replace the conversational entity communication channel is determined, in response to the type of the communication. The replacement communication channel is coupled to the user device in place of the conversational entity communication channel.

Communication resource allocation

A listing of objects expected to be loaded into a container is received, and as an object is added to a container sensors monitoring an opening of the container detect the object. The added object is identified by object recognition techniques applied to received sensor data. Detection of a triggering event indicating completion of adding objects to the container is determined, and in response, the identity of the added object is compared to the received list of objects. In response to determining the object added to the container fails to match an object on the received list of objects, a notification of non-matching content is generated, and in response to determining the object added to the container matches an object on the received list of objects, a notification confirming the match of content in the container to the list of objects is generated.

Cognitive container content determination

A notification control method, system, and non-transitory computer readable medium, include a state of flow detecting circuit configured to detect a state of flow of a user from brain waves of the user from user data and a notification control circuit configured to cause a physical notification to be displayed based on the detected state of flow of the user.

System, method, and recording medium for detecting and leveraging brain waves present in a user's state of flow to control digital and physical notifications

A computer-implemented method includes detecting, using a processor system, a first delay in a conversation system. Initial contextual data is received at a first orchestration layer of the processor system, where the initial contextual data describes a context of a user. The first orchestration layer queries a first data source, based on the initial contextual data. Based on querying the first data source, the first orchestration layer augments the initial contextual data to determine updated contextual data describing the context of the user. Filler content personalized to the user is generated based on the updated contextual data describing the context of the user. The filler content is presented through a user interface during the first delay, responsive to detecting the first delay in the conversation system.

Natural language processor for cognitively generating contextual filler designed to keep users engaged

A structured description is generated for a digital image of a scene. The structured description may include a first feature and a second feature of the scene. The structured description may also include a first detail of the first feature and a second detail of the second feature. A portable braille sequence printer may generate braille text of the first and second features using the structured description. The portable braille sequence printer may further generate additional braille text regarding the first detail in response to a prompt from the user regarding the first feature.

Translation to braille

A computer-implemented real-time visualization method, system, and computer program product including digitally visualizing a user in an image on an image display medium by incorporating a link between one or more users and one or more other users and updating the image by analyzing a current state of the user from user data.

Cognitive multi-layered real-time visualization of a user's sensed information

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Docklands, Australia

Shaila Pervin