Other

Openai Opco, LLC

John V Monaco

Jordan A Berger

Sanitizing data can be a cumbersome task, particularly when the volume of data is large, the content is sensitive, and/or the type of sanitation requires contextual determinations. Sanitizing large amounts of data is tedious and may often require highly trained personnel with clearances and/or other qualifications. In the systems and methods of the present disclosure, language models (LMs) are used to solve these and other technical issues with tools that may allow sanitizing data easily, with high versatility, context awareness, and/or low demand for computational resources. In particular, some of the disclosed systems and methods use a first language model and a second language model (being less resource-intensive than the first language model) to generate sanitized output data with improved efficiency and accuracy. This dual-model approach ensures that sensitive information is handled appropriately while optimizing computer resource usage.

Personally identifiable information scrubber with language models

A keyboard for physically handicapped persons, including a translucent surface, a capacitive layer underneath the translucent surface, enabling detection of touch location and pressure on the translucent surface, a projection system dynamically projecting a plurality of visual layouts of keys of a keyboard on the translucent surface, wherein each visual layout includes ASCII character keys or graphical buttons, and a dynamic keyboard layout generator configured to receive user input in conformance with a currently projected layout of keys from a physically handicapped user, and to generate therefrom a time series of ASCII characters or button selections for input to the computing device, to dynamically adjust pressure sensitivity of the keyboard to avoid spurious user input, and to dynamically adjust key sizes and positions in a current virtual layout of keys, to reduce the amount of hand motion required by the user and the amount of discomfort experienced by the user.

Secure keyboard with handprint identification

Universal keyboard

A biometric analyzer, including a biometric generator, receiving user input in conformance with a layout of keys, and generating therefrom time series, over a period of time, of touch location, touch timing and touch pressure data, for transmission as a data stream to a biometric identifier, wherein the time series of touch timing data includes a series of times at which keys are depressed and times at which the depressed keys are released, and wherein the time series of touch pressure data includes a series of pressure magnitudes, and a biometric identifier, receiving the time series from the biometric generator, deriving a biometric template of the user therefrom, and subsequently when the user tries to access a system using a keyboard, identifying the user based on his biometric template, and granting or restricting the user's access to the system, based on his biometric template.

A keyboard for cooperation with a keystroke and behavioral biometric analyzer, including a blank translucent surface for use as an input device, a capacitive layer mounted underneath the translucent surface, for enabling detection of touch location and touch pressure on the translucent surface, a projection system for dynamically projecting a visual layout of keys of a keyboard on the translucent surface, and a biometric generator, coupled with the capacitive layer, configured to receive user input in conformance with the projected layout of keys, and to generate therefrom a time series of touch location and touch pressure data, for use as data by a keystroke and behavioral biometric analyzer.

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Yorktown Heights, NY, United States of America

John V Monaco