This is about achieving Deep learning on Neuromorphic hardware. Large research teams have been working on it for decades. Billions of dollars/Euros/Pounds must have been poured into it. Still, their devices and algorithms get blown out of the water by an off-the-shelf GPU plus tensorflow, pytorch, what have you.
Hats off for the authors' achievement, this is no small feat and something that has been tried for years. But IMHO it's time that field moved on from running after matrix accelerators and focused on the real advantages of event-based computing: asynchronous, low-latency, event-based signal processing.
Hats off for the authors' achievement, this is no small feat and something that has been tried for years. But IMHO it's time that field moved on from running after matrix accelerators and focused on the real advantages of event-based computing: asynchronous, low-latency, event-based signal processing.