Abstract: FPGAs offer a powerful and flexible platform to build complex systems on. But the potential - both in density and clock frequency - is often missed. In this work we present a massively ...
Abstract: Convolutional neural networks (CNNs) are known for their exceptional performance in various applications; however, their energy consumption during inference can be substantial. Analog ...
In a lot of ways, the UCLA Bruins are catching up to the juggernaut programs of UConn and South Carolina women’s basketball, but there’s one area where the Bruins are lagging behind significantly: ...
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