Pervasive 3D graphical user interface configured for machine learning

A system comprising:

• a memory and at least one processor coupled to the memory;
• wherein said system is configured to display a three-dimensional (3D) graphical user interface (3D GUI) on a 3D graphical rendering device;
• wherein said 3D GUI is configured to enhance a user's experience of engaging with 3D scenery represented on said 3D graphical rendering device, said 3D scenery comprising a plurality of 3D objects whose properties are represented by a subset of 3D graphical vectors within a set of such vectors that have more than three degrees of freedom, said set of vectors having a volume in a 3D space, or properties associated with a set of data measured by an instrument;
• wherein
• said subset of 3D graphical vectors or said set of data measured by said instrument are represented in a coordinate system that has at least three dimensions;
• wherein said system is configured to enable its operator to adjust a perspective angle within a two-and-a-half-dimensional (2.5D) coordinate system embedded in said 3D graphical rendering device;
• wherein
• said perspective angle is an angle of intersection with the X and Z axes in said 2.5D coordinate system, or an angle of intersection with the X and Y axes in said 2.5D coordinate system, or an angle of intersection with any of two axes of a 2.5D coordinate system that are orthogonal to one another;
• wherein said system is configured to enable said operator to apply an artificial intelligence (AI) functionality that uses a machine learning process to classify into several separable classes, visually or by other sensory or cognitive modes, a plurality of said 3D subset of graphical vectors or said set of data measured by said instrument;
• wherein said 3D subset of graphical vectors or said set of data measured by said instrument are associated with a feature vector space and are used by said system to denote said 3D objects;
• wherein separate properties associated with motion vectors, graphical vectors, or relative distances between elements of a set of said 3D objects or a set of data that is measured by said instrument, are classified into the same class by said system;
• wherein each of said separate properties is controlled by a relationship, wherein said relationship is expressed as a function of the magnitude of said perspective angle, and said magnitude of said perspective angle is adjusted for each said class.