• TinyML Applications Require New Network Architectures

    Urmish Thakker
    Urmish Thakker
    Researchers have studied neural network compression for quite some time. However, the need for always on compute has led to a recent trend towards executing these applications on even smaller IoT devices…
    • February 13, 2020
  • Skipping RNN State-updates Without Retraining the Original Model

    Urmish Thakker
    Urmish Thakker
    Recurrent Neural Networks (RNNs) are used in tasks where the strict order of the input conveys certain information, and so are classed as an important algorithm. These networks are being deployed on resource…
    • November 25, 2019