Abstract: Disclosed herein are system, method, and computer readable medium embodiments for machine learning systems to process interactive communications between at least two participants. Speech and text within the interactive communications are analyzed using machine learning models to infer insights located within the interactive communications. The inferred insights are converted to descriptive text or audio and tagged to the interactive communication as graphics or audio whispers reflecting the insights added to the interactive communication.

Abstract: This invention discloses an Inertial Propulsion and Attitude-Control System (IPACS) and Methodology that employ inertial-thruster technology to achieve rotational and linear movement. An architecture has been developed that merges methodological and mechanical embodiment that result in the redirection of the effects of torque-induced precession on both oscillatory and rotary devices. Said embodiments demonstrate that the redirection of precession by using appropriate methods will alter the behavior of inertia so as to achieve either rotational or rectilinear inertial thrust wherein rotational inertial thrust is applicable to attitude control of free bodies such as satellites and wherein rectilinear inertial thrust is applicable to propellant-less propulsion.

Abstract: This invention discloses an inertial-thruster architecture wherein active and passive damping techniques result in the redirection, absorption, neutralization, and/or enhancement of the effect of torque-induced precession on both oscillatory and rotary devices. These novel mechanical and methodological embodiments demonstrate that the redirection of precession during the appropriate phase of operations will achieve the objective of rectilinear movement when combined with the displacement of one or more precessable masses.