LTC-SE：扩展液态时常神经网络的潜力，为可扩展的人工智能和嵌入式系统提供支持（英文版）

英文标题：LTC-SE: Expanding the Potential of Liquid Time-Constant Neural Networks for Scalable AI and Embedded Systems中文摘要：LTC-SE 是 Liquid Time-Constant 算法的升级版，针对嵌入式系统的独特约束，通过增强灵活性、兼容性和代码组织等方面的优化，扩展了液态神经网络在机器学习任务中的适用性。英文摘要：We present LTC-SE, an improved version of the Liquid Time-Constant (LTC)neural network algorithm originally proposed by Hasani et al. in 2021. Thisalgorithm unifies the Leaky-Integrate-and-Fire (LIF) spiking neural networkmodel with Continuous-Time Recurrent Neural Networks (CTRNN