This is not Akida.Hmmmm, is this AKIDA? or is there another neuromorphic chip out there......
The WangLab white paper refers to CNN:
https://wanglab.uchicago.edu/
Oct. 2022 – Our stretchable neuromorphic device paper has been selected by Matter as the cover article for the October issue.
https://cpb-us-w2.wpmucdn.com/voice...86/files/2022/08/68-Matter-Dai-Dai-2022-1.pdf
The further integration of this device into a neuromorphic array has demonstrated the ideal implementation of the basic computation in ANN algorithms—vector-matrix multiplication (VMM)—under stretching to 100% strain. We also implemented different types of neural-network simulations on a large-scale array built from our stretchable neuromorphic devices, from which the training-based classifications of a representative type of health data—electrocardiogram ECG)—were realized. With the training and inference processes carried out on the neuromorphic device operating under different strain levels from 0% to 100%, we show that the computation outcome based on 1-layer convolutional neural network (CNN) is not influenced by stretching. As a whole, these results from the device level to the algorithm-implementation level demonstrate the promise and the possible pathway for realizing skin-like, on-body AI computation.
p. 9: (B) A 1-layer convolution neural network with 187 input neurons, filter = 32, kernel = 5, and 5 output neurons
p. 13: The CNN model for the ECG signal-classification task includes a convolution layer with 32 filters and kernel size 5
p. 16 (footnote): 14. Mou, X., Tang, J., Lyu, Y., Zhang, Q., Yang, S., Xu, F., Liu, W., Xu, M., Zhou, Y., Sun, W., et al. (2021). Analog memristive synapse based on topotactic phase transition for highperformance neuromorphic computing and neural network pruning. Sci. Adv. 7, eabh0648. https://doi.org/10.1126/sciadv.abh0648.