L. Ai, et al., ‘Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models’, 2024, arXiv. - lun-ai/BMLP_active ...

This paper proposes several methods for programming the Boolean expressions in a flight control program that makes them amenable for exhaustive testing. It first describes the current FAA approach ...

In contrast, there has been significant recent interest in synthesizing computation from examples, a form of supervised learning. In this paper, we explore the relationship between supervised learning ...

We can represent Boolean logic by creating circuit diagrams that combine simple logic gates. Logic gates can be built up into chains of logical decisions. Some logic gates may have more than two ...

Figure 2. Implementing models of computation in cellular computers beyond combinatorial logic. A. Move beyond simple Boolean logic and explore powerful models of computation like Finite State Machines ...

The official repository of "Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models". - lun-ai/BMLP_active_public ...