Abstract: Learning is central to intelligent control, particularly in real-world scenarios with complex time-varying constraints. This paper proposes an adaptive neural network-based control method ...
Coarse-Grained Reconfigurable Arrays (CGRAs) have been in the academic world for decades ([1], [2]). They are considered ideal to accelerate compute-intensive Digital Signal Processing (DSP) and ...
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