International Business Machines Corporation

Other

Laura Grace Ellis

Sarbajit Kumar Rakshit

Shikhar Kwatra

Adam Lee Griffin

Bo Zhang

Indervir Singh Banipal

ChunHui Yang Higgins

Blake McGregor

Chul Sung

Adam M Gunther

Mitchell A Callahan

Janhavi Das

Troy W Dudley

John R Cantu

Joe M Caram

Kaitlin McGoldrick

A method, computer system, and a computer program product for voice responses is provided. The present invention may include gathering user data from at least one connected device. The present invention may include training a voice response system based on the gathered user data. The present invention may include identifying a wakeup signal based on the trained voice response system. The present invention may include determining that user engagement is intended based on identifying the wakeup signal. The present invention may include engaging with the user through the at least one connected device.

Artificial intelligence voice response system for speech impaired users

A method, computer system, and a computer program product for personalized voice responses is provided. The present invention may include gathering a plurality of user data from an Internet of Things (IoT) connected sensor. The present invention may include identifying a personalized vocabulary based on the gathered plurality of user data. The present invention may include training a voice response system based on the gathered plurality of user data and the identified personalized vocabulary. The present invention may include receiving a verbal request. The present invention may include responding to the received verbal request using the trained voice response system.

Voice response systems based on personalized vocabulary and user profiling&#x2014;personalized linguistics AI engines

In an approach to mature a knowledge corpus using artificial intelligence (AI) and user collaboration, embodiments create, by an AI response system, a knowledge corpus based on retrieved data associated with a first user. Additionally, embodiments execute, by the AI response system, a search to locate one or more matching knowledge corpora based on a request of the first user, and identify, by an anonymous network, at least one cluster of one or more anonymous second users having respective search requests that substantially match the search request of the first user. Furthermore, embodiments execute an AI exchange between the identified one or more anonymous second users and the first user, and mature the knowledge corpus, via the AI response system, based on the AI exchange between the first user and the identified one or more anonymous second users.

Generating and mutually maturing a knowledge corpus

An approach is provided for determining a product value score. Features of a product are identified. Ranking data for each identified feature is collected. The ranking data includes popularity, stability, availability, and memory usage of each feature. Additional data for each feature are determined. The additional data includes an importance, a conversion rate, and a marketing impact of each feature. Based on the ranking data and the additional data, normalized data is generated according to characteristics of the features. Based on a data science prediction analysis which uses the identified features, weights of the features are determined. Based on initial results of the data science prediction analysis, a key product is selected from a set of products. Based on the key product and the weights, product value scores of products in the set of products are determined.

Multi-layered product value score generation

Shock absorbing apparatus for use on a wheelchair of the type having a frame mounted on a pair of front wheels and a pair of rear wheels in which the front wheels and/or back wheels are provided with shock mounting assemblies. The shock mounting assemblies include one or more spring assemblies attached to the frame to cushion shock on the respective wheel.

Wheelchair shock absorbing apparatus

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Austin, TX, United States of America

Laura Grace Ellis