Different kinds of problems require different scales to solve, from the high-level language of diagrams to the low-level language of equations, though often we can gain insight by seeing one next to the other. Nobody likes to look at pages of equations, and diagrams that are too complicated easily become a blur, so our platform lets you create solutions at the same level you think at.
Breaking problems into chunks means that each chunk can be solved side-by-side rather than one after the other. You know better than anyone which aspects can be treated apart from other aspects, and Hexeity’s platform lets you encode this knowledge into your analytics. We provide access to the latest algorithms in scientific computing, cutting through big data using libraries that professionals around the world rely upon.
In physics, the main thing tensors do is take measurements made in one type of space, and transform them into measurements in another kind of space, so we can find properties that are true in any reference frame. Similarly, we can view machines in a very general way as equations defining an abstract ‘space’, like the circular path of a turbine. It then becomes possible to transform one machine to another using tensors.
A machine is like a network of parts with rules for how they connect to one another, letting us use powerful tools from network science to break engineering problems into manageable chunks.
