LeapMind

We are carrying out research on original chip architectures in order to implement Neural Networks on a circuit with low power.

LeapMind makes deep learning “small and compact” and accessible across a broad spectrum of applications, evolving the Internet of Things into the “Deep Learning of Things (DoT).” While improving the accuracy of neural network models, we are researching and developing our own innovative algorithms that can reduce the computational complexity of deep learning to use within a small computing environment. We also conduct research on original chip architectures that can efficiently implement deep neural networks on a circuit with low power and limited memory.