Other

Gryphon Online Safety, Inc.

John S Yi

John Jun Wu

Jon A Warner

Various embodiments provide an approach to controlled access to online content. Such control may be based on a multitude of factors including but not limited to website content, profile for the person consuming the data. In operation, machine-learning techniques are used to classify the websites based on community and social media inputs, crowd-sourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine-learning techniques. Embodiments may also allow for real, or near real-time, approval or denial of access to websites by registered admins.

Remotely controlling access to online content

Self-propelled hydrodynamic underwater toys with integrated propulsion mechanisms are described. In some embodiments, the propulsion mechanisms is partially or completely within an internal compartment in the toy's body. The propulsion mechanisms are adapted to be charged with a volume of fluid and to thereafter discharge the volume of fluid under pressure to propel the toy through a body of water. In some embodiments, the propulsion mechanism includes an expandable reservoir. In some embodiments, the propulsion mechanism is a replaceable propulsion mechanism. In some embodiments, the toy includes a trajectory-stabilizing structure that is adapted to impart at least one of a steering moment and a righting moment to the toy during underwater travel. The toy may be adapted to have positive, negative or neutral buoyancies, and can be adapted to maintain its buoyancy and/or its center of gravity while being propelled through a body of water by the propulsion system.

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San Diego, CA, United States of America

John S Yi