Harvard College

Yahoo! Inc.

Yahoo Holdings, Inc.

Daniel Glen Hopkins

Gary King

Atte Lahtiranta

Lovlesh Chhabra

Dylan Casey

Jon Hryn

Ying Lu

Josh Schwarzapel

Matthew David Fisher

Dwight L Allen

Dean A Hopkins

Steven Malekos

Nimesh Shukla

Flashlight

An information preservation and conveyance system for providing information and effects to intelligent creatures in the future. The system provides durable containers with components secured inside and durable structure components, such as building bricks for example, mountable to a durable building, pyramid, or other structure, with at least one structure component having external surface information readable by a human. Higher density durable information providing components may be secured inside a durable container by resilient devices to absorb impact forces. Durable optical magnifier pictographic instructions and an optical magnifier or projector may be secured by durable containers, which can have a container opener durably mounted to exposed sections on the durable containers. The durable containers can contain audio generation apparatus, which optionally may teach a language, and any of a wide variety of types of information and articles of possible interest and value to a discoverer in the future.

Information preservation and conveyance system and method of use

Briefly, embodiments of methods and/or systems of services access through progressive registration via a mobile device.

Services access for mobile devices

A method of computerized content analysis that gives 'approximately unbiased and statistically consistent estimates' of a distribution of elements of structured, unstructured, and partially structured source data among a set of categories. In one embodiment, this is done by analyzing a distribution of small set of individually-classified elements in a plurality of categories and then using the information determined from the analysis to extrapolate a distribution in a larger population set. This extrapolation is performed without constraining the distribution of the unlabeled elements to be equal to the distribution of labeled elements, nor constraining a content distribution of content of elements in the labeled set (e.g., a distribution of words used by elements in the labeled set) to be equal to a content distribution of elements in the unlabeled set. Not being constrained in these ways allows the estimation techniques described herein to provide distinct advantages over conventional aggregation techniques.

System for estimating a distribution of message content categories in source data

Knuckle light

Growing community of inventors

West Linn, OR, United States of America

Daniel Glen Hopkins