Finding the Gap: Neuromorphic Motion Vision in Cluttered Environments

1 code implementation • 16 Feb 2021 • Thorben Schoepe, Ella Janotte, Moritz B. Milde, Olivier J. N. Bertrand, Martin Egelhaaf, Elisabetta Chicca

In the fundamental quest to understand neural computation in artificial agents, we come closer to understanding and modelling biological intelligence by closing the loop also in neuromorphic systems.

Autonomous Vehicles Collision Avoidance +1

ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation

no code implementations • 13 Nov 2017 • Moritz B. Milde, Daniel Neil, Alessandro Aimar, Tobi Delbruck, Giacomo Indiveri

Using the ADaPTION tools, we quantized several CNNs including VGG16 down to 16-bit weights and activations with only 0. 8% drop in Top-1 accuracy.

Quantization

NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

no code implementations • 5 Jun 2017 • Alessandro Aimar, Hesham Mostafa, Enrico Calabrese, Antonio Rios-Navarro, Ricardo Tapiador-Morales, Iulia-Alexandra Lungu, Moritz B. Milde, Federico Corradi, Alejandro Linares-Barranco, Shih-Chii Liu, Tobi Delbruck

By exploiting sparsity, NullHop achieves an efficiency of 368%, maintains over 98% utilization of the MAC units, and achieves a power efficiency of over 3TOp/s/W in a core area of 6. 3mm$^2$.