Efficient AI

MoteNN: Memory Optimization via Fine-grained Scheduling for Deep Neural Networks on Tiny Devices
ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer
Enhancing 3D Detection Through Feature Aligned Deep Fusion
A 16.38TOPS and 4.55POPS/W SRAM Computing-in-Memory Macro for Signed Operands Computation and Batch Normalization Implementation
MixCIM: A Hybrid-Cell-Based Computing-in-Memory Macro with Less-Data-Movement and Activation-Memory-Reuse for Depthwise Separable Neural Networks
Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network
Accurate yet Efficient Stochastic Computing Neural Acceleration with High Precision Residual Fusion
BiT: Robustly Binarized Multi-distilled Transformer
Depth Shrink: Empowering Hardware-Friendly Shallow Neural Networks
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