This wording suggests that Valeo was new to NNs possibly as late as December 2019:
WO2020127151A1 METHOD FOR IMPROVED OBJECT DETECTION
"
A powerful possibility to process 2-dimensional array of data points is to use a neural network. State of the Art applications of neural networks for image processing are typically based on deep neural networks. Usage of such network types has shown promising results at an affordable price. Neural networks comprise an input and an output layer, as well as one or multiple hidden layers. The hidden layers of a deep neural network typically consist of convolutional layers, pooling layers, fully connected layers and normalization layers. The convolutional layers apply a convolution operation to the input, passing the result to the next layer. The convolution emulates the response of an individual neuron to visual stimuli."
Similarly, the only reference to NNs in the claims is in claim 9, but there is no defining description of NNs at a circuit layout level in the specification.
"9.
Method according to any preceding claim, characterized in that
the step of identifying one or more troublemakers (24) in the 2-dimensional array of data points (26)
comprises identifying one or more troublemakers (24) in the 2-dimensional array of data points (26) by an image recognition algorithm and/or by a neural network."
So my considered guess is that until 2020, Valeo were not particularly familiar with NNs, and were even considering a software algorithm as a viable alternative.
The fact that Valeo entered into a Joint Development with BrainChip in mid-2020 strongly suggests to me that they are using Akida. I don't recall whether or not there was an ASX announcement of the JD, but, as
@Fact Finder reminds us, if there were an announcement, then there would be an obligation to notify ASX if the JD was terminated.