For research insights and development potential, we should explore computer architectures designed to scale indefinitely. Given physical limits, we argue an indefinitely scalable computer should or must (1) reveal to programmers its component spatial relationships, (2) forego unique addresses, and (3) operate asynchronously. Further, such a machine and its programming must be inherently robust ...

The recently proposed Kr ̆ein space Support Vector Machine (KSVM) is an efficient classifier for indefinite learning problems, but with quadratic to cubic complexity and a non-sparse decision function. In this paper a Kr ̆ein space Core Vector Machine (iCVM) solver is derived. A sparse model with linear runtime complexity can be obtained under a low rank assumption. The obtained iCVM models can b...

Following on from the notion of (first-order) causality, which generalises the notion of being tracepreserving from CP-maps to abstract processes, we give a characterization for the most general kind of map which sends causal processes to causal processes. These new, second-order causal processes enable us to treat the input processes as ‘local laboratories’ whose causal ordering needs not be f...

HYPOTHESIS We previously showed in a large animal pig model that unmodified donor-specific bone marrow infusion (DSBMI) did not facilitate total bowel engraftment; in contrast, it increased the risks of rejection, infection, and graft-vs-host disease (GVHD) posttransplant. We hypothesize that continuous immunosuppression, in combination with DSBMI, might contribute to-or even trigger-these unwa...