First, however, Sophia plans to begin by offering its TILEs to satellite operators that require compute solutions on orbit. Potential partners include Earth-observation satellites collecting large amounts of sensor data, missile warning and tracking systems that the Pentagon is investing billions of dollars to build, or even increasingly complex communications networks.
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While there exist many possible ways to triangulate a set of points, the most common method for TINs is the Delaunay triangulation. This is because Delaunay triangulations tend to produce more regular tessellations that are better suited to interpolation. In theory, we can represent our colour palette as a TIN by computing the 3D Delaunay triangulation of the colours in colour space. The nice thing about this is that it makes finding an enclosing simplex much faster; the candidate selection process is simply a matter of determining the enclosing tetrahedron of an input point within the network using a walking algorithm, and taking the barycentric coordinates as the weights.