International Business Machines Corporation

Globalfoundries Inc.

Chin Ngai Sze

Eric Rozner

Su Liu

Charles Jay Alpert

Yaoguang Wei

Zhuo Li

Inseok Hwang

Gi-Joon Nam

Natarajan Viswanathan

Paul Gerard Villarrubia

David Anthony Papa

Sani Richard Nassif

Stephen Thomas Quay

Tuhin Mahmud

Ruchir Puri

Anne Elizabeth Gattiker

Haifeng Qian

Shyam Ramji

Damir Anthony Jamsek

Ying Zhou

Tom Osiecki

Joseph N Kozhaya

Phillip John Restle

Lakshmi Narasimha Reddy

Chungkuk Yoo

Jia Wang

Matthew Mantell Ziegler

Eric Jason Fluhr

Michael David Moffitt

Robert Mahlon Averill, Iii

Zhennan Wang

Joseph J Palumbo

Jose L P Neves

Dorothy Kucar

Maggie Phung

Arvind K Karandikar

Fang Lu

Kanak Behari Agarwal

Anca Sailer

Sourav Saha

James Douglas Warnock

William Evan Speight

Minsik Cho

Haoxing Ren

Shayak Banerjee

Sven Peyer

Louise Helen Trevillyan

Hua Xiang

Jagannathan Narasimhan

Michael D Amundson

Brian C Wilson

Victor N Kravets

Thomas Henry Osiecki

Frank N Lee

Harini Jagannathan

Jingwei Yang

Linda C Cham

Smita Krishnaswamy

Qingda Wang

Mark D Aubel

Haitian Hu

Min-Yu Tsai

Yi-Ling J Wong

Gregory F Ford

Glenn R Bee

Shiyan Hu

Chuck Alpert

Ashish K Singh

Tao Luo

A method, computer program product, and system for providing provenance tracking in a workflow system. The computer-implemented process provides for one or more processors to receive a workflow definition input. One or more processors perform workflow job commands, in response to receiving a workflow definition, and a workflow instance request. One or more processors access an input file associated with the workflow instance. One or more processors generate, at run-time, provenance metadata. One or more processors generate, at run-time, a global file identification (ID) associated with an output file. One or more processors link the global file ID and the provenance metadata to the output file of the workflow instance, and one or more processors store the output file, which includes the global file ID and the provenance metadata, both linked to the output file.

Reliable workflow system provenance tracking at runtime

An augmented reality system collects sensory data from one or more user devices in a manner that is transparent to the user's augmented reality experience. A customer of an augmented reality system requests sensory data at a specified location. The augmented reality system modifies the augmented reality experience for one or more users to move someone to the specified location. The user device(s) collect the sensory data at the specified location in a manner that is transparent to the augmented reality experience of the user(s). The sensory data is uploaded from the user device(s) to the augmented reality system, which sends the sensory data to the customer.

Sensory data collection in an augmented reality system

In one embodiment, a computer program product includes a computer readable storage medium having program instructions embodied therewith. The program instructions are executable by a processing circuit to cause the processing circuit to receive collected data from one or more data collection devices, the collected data being aggregated over at least one month and comprising audio data including first voice input of a user of the one or more data collection devices. The program instructions also cause the processing circuit to store the audio data to a computer readable storage medium; determine an identity of the user based on comparing second voice input to the first voice input; and analyze the audio data for indications of hearing loss in the user over the period of time. The analysis includes determining a user's emotion during production of the audio input.

Daily cognitive monitoring of early signs of hearing loss

In an approach to parsing and analyzing contracts, one or more computer processors receive a policy agreement. The one or more computer processors parse the policy agreement for terms. The one or more computer processors compile a list of items associated with the terms in the policy agreement. The one or more computer processors associate each item of the list of items with one or more categories, wherein each category of the one or more categories defines an extent of coverage for each item. The one or more computer processors determine whether an item of a user is present in the list of items associated with the one or more terms in the policy agreement. The one or more computer processors determine the categories associated with the item. The one or more computer processors determine the extent of coverage for the item of the user based on the determined categories.

Context-based policy term assistance

Provided are techniques for automatically protecting portable and wearable electronic devices from potential hazards by predicting when such hazards may occur. Techniques may include monitoring a plurality of sensors on the mobile computing device; receiving, on the mobile computing device, context data from a plurality of context-service applications; selecting a set of device-protection policies based upon an availability of the plurality of sensors and the plurality of context-service applications, wherein the set of device-protection policies are configured to determine a level of risk to the mobile computing device based on sensor data received from the plurality of sensors and the context data; applying, the sensor data and the context data to the set of device-protection policies to generate the level of risk; and triggering a self-protection action if the level of risk exceeds a pre-determined threshold level of risk.

Automatic self-protection for a portable electronic device

A method and system are provided for converting clinical criteria constraints for a target structure of radiation therapy into a second set of constraints. The method includes selecting, by a hardware processor, a plurality of clusters of voxels in the target structure based on pre-specified criteria. The method further includes assigning, by the hardware processor, each of the plurality of clusters of voxels a respective constraint that specifies one or more bounds on a radiation dose applied to each voxel in a corresponding one of the plurality of clusters of voxels. The method also includes storing, in a memory device, the respective constraint for each of the plurality of clusters of voxels.

Translating different clinical protocols for particle therapy into a set of constraints

Systems, methods, and computer program products to perform an operation comprising receiving, by a fog computing platform, a request from a wireless device to perform a compute task on behalf of the wireless device, determining a first computing resource, of a plurality of computing resources, required to perform the compute task, associating the request with a first level of priority, of a plurality of levels of priority, for accessing the first computing resource, allocating, based at least in part on the first level of priority, a portion of the first computing resource to perform the requested compute task.

Allocating compute offload resources

For multi-layer imaging, an apparatus is disclosed. The apparatus includes a transparent display having multiple liquid crystal display (LCD) layers. The apparatus includes an image capture module that interfaces with a camera to capture multiple images of a target object. The apparatus includes an image processing module that identifies a bright spot in first and second images, identifies the target object in the first and second images proximate to the bright spot, and modifies at least one of first and second images to diminish the bright spot and to emphasize the target object. The apparatus includes an image display module that interfaces with the transparent display member to display the first image with the first LCD layer and display the second image with the second LCD layer after modifying at least one of the first and second images.

Multi-layer imaging

The present disclosure relates to caching content at a device in a group of co-located devices whose owners share social network connections. In one embodiment, a method generally includes electing the device as a leader device based, at least in part, on shared social network connections associated with owners of each device in the group. The device receives a data request from a first user device and searches a cache for the data. If the data exists in the cache, the data is encrypted using an encryption key associated with an owner of the first user device transmitted to the first user device. Otherwise, the device requests the data from the content provider, receives an encrypted copy of the data, decrypts the data, and uses the encryption key associated with the owner of the first device to generate and transmit an encrypted message including the data to the first device.

End-to-end caching of secure content via trusted elements

A text prediction system and method for predicting entered text from a captured image is disclosed. An image capture device captures an image with within a field of view for the image capture device where the image has at least one object in the image. The image capture device identifies at least one object in the captured image. A set of words are identified for at least one object in the captured image. This set of words is then provided to a text entry device to be presented to the user as a possible suggestion.

Text prediction using captured image from an image capture device

A computer-implemented method, according to one embodiment, includes calculating or receiving a normalized score for each segment of at least one route based on physical route conditions and environmental route conditions of the associated route, generating a pace comparison of multiple actors participating in a physical activity under different route conditions, and outputting the pace comparison. The pace comparison is based on the normalized scores of the segments of the route associated with each respective actor and a pace of each respective actor on the respective route. A computer program product for comparing paces of multiple actors, according to another embodiment, includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method.

Normalizing scores of one or more predefined segments to establish pace comparisons of actors that participate in physical activities on the predefined segments

The present disclosure relates to processing tasks offloaded from one or more user devices to a cloud service. An example method generally includes receiving a command to be processed by the cloud service from a first device of a group of user devices. The cloud service generates a response based on the command. The cloud service determines weighting scores for each device in the group of user devices for each of audio output, video output, and haptic feedback based on context information about the group of user devices. The cloud service selects a plurality of user devices to receive at least part of the response based on the determined weighting scores, partitions the response into portions corresponding to the selected plurality of user devices, and instructs each of the selected plurality of user devices to output the one or more portions corresponding to the selected plurality of user devices.

Context-aware task processing for multiple devices

Pre-emptive configuration of a fog computing environment for on-demand services is provided. On-demand services are supported by service modules. Traffic related to demand for service modules is monitored and evaluated. The modules are selectively pushed to and removed from edge servers in a fog computing environment in order to efficiently service the demand for machine translation services.

Fog computing for machine translation

For determining cognitive workload awareness in driving context, an apparatus is disclosed. In some embodiments, the apparatus includes an activity monitor module that monitors driving activities of a driver. The apparatus includes a workload analysis module that determines a cognitive workload of the driver associated with the driving activities of the driver. Further, the apparatus includes a question-and-answer (QnA) dispatch module that determines an available QnA cognitive workload of the driver for performing QnA tasks based on the cognitive workload while ensuring a safe cognitive workload boundary associated with the driving activities of the driver.

Cognitive workload awareness

Growing community of inventors

Austin, TX, United States of America

Chin Ngai Sze