International Business Machines Corporation

Tao Liu

Stan Kevin Daley

Kent R VanOoyen

Zhong-Hui Lin

Dean Phillips

Harish Bharti

Hong Li

Abhay Kumar Patra

Sheng Hui Zhan

Zhi Lin Hu

Jian Hui Chen

Shu Xia Cao

Teng Sun

Zheng Xie

Wan Wan Miao

Xinpeng Liu

Qiang He

Joy Patra

Yin Jun Zhang

Xiaoyun Xu

Athar Tayyab

Jayant Kumar Sinha

A computer-implemented method for distributing a copy of event data recorder (EDR) data of a vehicle includes sending index information uniquely identifying respective member vehicles of a dynamic vehicle network that include candidate vehicles located within a predetermined geo distance of a host vehicle, sending a fragment of a private key associated with EDR data of the host vehicle to the respective member vehicles of the dynamic vehicle network, distributing segments of replicated EDR data from the host vehicle among the respective member vehicles, and responsive to an expiration of a predetermined lifecycle duration associated with the dynamic vehicle network and an absence of an incident of the host vehicle: disbanding the dynamic vehicle network, and initiating a next dynamic vehicle network including a set of next candidate vehicles.

Vehicle incident data recovery of distributed vehicle event data

Systems and methods for smart sensors are provided. A smart sensor includes: a case; a power adapter configured to be plugged directly into an electrical outlet; a computer processor; a microphone; a speaker; a camera; at least one sensor; a control switch; a sync button; a USB port; and a memory storing: an operating system; a voice control module; a peer interaction module; a remote interaction module; and a cognitive module. In embodiments, the power adapter includes prongs that extend from a back side of the case, and the microphone, the speaker, the camera, and the at least one sensor are on a front side of the case opposite the back side of the case.

Cognitive and interactive sensor based smart home solution

A computer-implemented method, system, and computer program product for identifying requirements in a document. A document including requirements is received. Attribute related information in the document is identified using an attribute model. Component information in the document is identified using a component model. The attribute related information and the component information identified in the document are merged. Requirements in the document are identified from the merged attribute related information and component information. The requirements identified in the document are used to develop a product.

Document-based requirements extraction

Techniques for text evaluation are provided. A curated dataset comprising a plurality of textual documents is received. A tree of classifiers is trained, based on the curated dataset, to identify use cases. A feature graph model is generated, based on the curated dataset, to determine textual similarity. A new document is received, and a plurality of requirements is extracted from the new document. For each requirement, one or more vector scores are generated by evaluating the requirement using the tree of classifiers, one or more feature scores are generated by evaluating the requirement using the feature graph model, and one or more use cases are identified for the new textual document based on the one or more vector scores and the one or more feature scores. An implementation is generated for the new document based on the one or more use cases.

Cognitive analysis to generate and evaluate implementation plans

An apparatus for a personal call center assistant includes a receiver that receives a query from a call center over a communication channel during a communication session between the call center and a user. A security checker that determines whether text from the query matches an entry in a user profile of the user and an inference engine identifies one or more query responses in response to the security checker determining that the text from the query matches an entry in the user profile. Each query response is assigned a confidence level and each confidence level includes a likelihood that the query response matches information requested in the query. An outputter converts a query response with a highest confidence level to an answer to the query and a responder communicates the answer to the query to the call center in a format compatible with the query.

Personal call center assistant

An approach is provided in which an information handling system determines a current focus of a user composing a document. The current focus is based on a set of text in proximity to a current cursor location in the document. Next, the information handling system identifies a query based at least in part upon the current focus and queries a database using the identified query. In turn, the information handling system presents reference recommendations to the user that are generated from the query.

Context aware document advising

Growing community of inventors

Dublin, OH, United States of America

Tao Liu