An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Your AI might look smart on benchmarks but could be brittle in the real world, leading to unexpected failures and eroding ...

AI cheats not because it’s broken, but because it has learned our own bad habit: rewarding what feels good over what is true.

Abstract: Leveraging sparsity to eliminate redundant computation and storage overhead is essential for enhancing the efficiency of on-device deep neural network (DNN) learning. However, due to a lack ...