PhD position on Investigating Approximate Architectures for Energy-efficient Processing of Deep-Learning Algorithms
With the advent of intelligent Internet-of-Things (IoT), processing Deep-Learning (DL) algorithms in resource-constrained edge devices is challenging. To tackle this challenge, we must rely on novel DL inference accelerators that consume little...