Cell-based Biocomputing

Conventional digital computing, built on CMOS and Boolean logic, struggles with complex combinatorial problems due to its sequential nature and the exponential growth of solution spaces. While biological systems have inspired new computing paradigms, many current efforts focus on slow molecular circuits suited for data storage or simple logic. In contrast, electrically active cells like cardiac muscle cells offer a faster, more dynamic alternative. By engineering networks of these living cells, we create a biological computing system that leverages their natural synchronization and energy minimization to solve hard problems in a massively parallel, continuous-time manner. This scalable, low-power platform also opens future opportunities to build oscillator arrays for associative memory and pattern recognition, inspired by Hopfield neural networks.