A real-time detection algorithm GBiDC-PEST for four tiny pests on mobile devices was developed. Model size was reduced by 80% while maintaining accuracy (>80%) in GBiDC-PEST. The GBiDC-PEST optimization algorithm and its mobile deployment offer a robust technical framework for the rapid, onsite identification and localization of tiny pests. This advancement provides valuable insights for effective pest monitoring, counting, and control in various agricultural settings

Researchers demonstrate that Synthetic Biological Intelligence (SBI) systems react faster, more effectively to stimuli than state-of-the-art RL (reinforcement learning) algorithms. To access these properties, Cortical Labs - which led the research - built the world’s first biological computer, the CL1. With the establishment of a new approach, Bioengineered Intelligence (BI), researchers will seek to establish that engineered biological systems can surpass natural physiological limits, unlocking capabilities beyond those previously demonstrated