Wells Fargo Bank, N.a.

Madhu V Vempati

Rameshchandra Bhaskar Ketharaju

Bipin M Sahni

Ganesan Anand

Sarath Chava

Prasad N Sivalanka

A method may include presenting a user interface on a computing device, the user interface including a character input portion and a predictive suggestion portion; converting, using at least one processor, a set of characters entered in the character input portion into a word vector; inputting the word vector into a neural network; based on the inputting, determining a set of output terms from the neural network; querying a data store to retrieve a user specific data value for an output term of the set of output terms; and presenting a paired output term that includes the output term and the user specific data value in the predictive suggestion portion of the user interface.

Predictive text system

Systems and methods that facilitate authenticating a user making a payment using microelectromechanical systems (MEMs) devices (i.e., smart dust). The MEMs devices may have sensors that collect data and transfer it to a base station device. The MEMs devices can collect sensor data, including biometric data and/or capture images of the person. The MEMs can also collect sensor data such as audio data, optical data, temperature data, pressure data, and motion data and compare it to data associated with a user profile to determine that the person making the payment is the same person associated with the user profile. Once the person's identity has been confirmed, and thus authenticated, the payment request can be confirmed and payment made, via either the mobile device or credit card.

Smart dust usage

A method for authenticating a user on the electronic computing device includes receiving a request to authenticate the user. First data is received from the electronic computing device. The first data comprises selections of the user of a plurality of locations from a picture displayed on the electronic computing device. The first data also comprises force data representing forces applied by the user when making the selections. The first data is compared with second data. A determination is made as to whether aspects of the first data correspond to aspects of the second data. When the aspects of the first data correspond to the aspects of the second data, the user is authenticated.

Growing community of inventors

Hyderabad Telangana, India

Madhu V Vempati