> ShapeRank also seems to take vector algebra "tensor" concept to the extreme and to be honest it's better to based on "versor" since geometric algebra is probably the future of computer algebra [4].
I'm curious why you say that? Quantum computing or something? I was very interested in geometric algebra several years ago, but have never found need for it. Seems like it helps simplify problems that are already simple.
There is a recent HN entry on GA, the the posted article, and some of the commentaries provide the usefulness and the huge potentials of GA [1].
To be specific, if you have noticed, there's a recent popular trend in "network observability" and don't assume that the "network" is only for the computer networks, it can be any network (social, pandemic,system, etc) and the original term actually refer to the power system. For a start, this network observability requires fusion of data from multitude of sensors, parameters, entities, components, etc to provide accurate model for physical and/or virtual world. For example if you are trying to develop level 5 autonomous driving system, comprehensive data fusion, integration and analytics is the very first step towards successful automation.
If you think that the term network observability is familiar, it is because the main reason eBPF is created was to perform comprehensive Linux OS observability. There is a wonderful website that you can see and observe (pun intended) how to perform network observability, and why it is really useful [2].
By supporting and representing data as "versor" natively in programming languages you can easily model and perform insightful animation similar to here [3]. There is also a recent post on HN about ObservableHQ website itself [4].
I'm curious why you say that? Quantum computing or something? I was very interested in geometric algebra several years ago, but have never found need for it. Seems like it helps simplify problems that are already simple.