PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of decision-making patterns across distinct task conditions.

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

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