Building on this concept, we manage to build inference systems based on highly complementary pairs of neural networks that strike very good trade-off between accuracy and energy consumption. ...

Energy consumption of AI becomes a priority as such systems are widely deployed and are responsible for a big part of society's energy footprint. In our latest work, we proposed the concept of neural network "complementarity" to quantify the extent that two NNs lead to complementary predictions...