AMD has delivered on its Computex 2025 promise to make PyTorch work on Windows for consumer GPUs and APUs. With the release of ROCm 6.4.4, Radeon RX 9000 (RDNA 4), RX 7000 (RDNA 3), and the new Ryzen ...
Abstract: Federated learning (FL) has become a key technology for achieving efficient and reliable edge AI decision-making in consumer electronics devices. However, its application in open network ...
Yes. I can contribute this feature independently. I'm not going to refine this list anymore at this point, but these are all potential files with bad references to Python 3.8, thus will be bad for ...
Abstract: this research explores the vulnerability of convolutional neural networks (CNNs) to adversarial attacks, with a focus on the Fast Gradient Sign Method (FGSM) as a baseline threat model. The ...
The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...
AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...
When using SHAP's DeepExplainer on a simple PyTorch Lightning MNIST model, the additivity check fails with a large difference (example: 0.905 on a recent trial) compared to the tolerance (0.01). The ...
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