AI, Native Supercomputing and The Revival of Moore's Law
  Based on Alan Turing's proposition on AI and computing machinery, which
shaped Computing as we know it today, the new AI computing machinery should
comprise a universal computer and a universal learning machine. The later
should understand linear algebra natively to overcome the slowdown of Moore's
law. In such a universal learnig machine, a computing unit does not need to
keep the legacy of a universal computing core. The data can be distributed to
the computing units, and the results can be collected from them through
Collective Streaming, reminiscent of Collective Communication in
Supercomputing. It is not necessary to use a GPU-like deep memory hierarchy,
nor a TPU-like fine-grain mesh.
