We are happy to release MMBench-GUI, a hierarchical, multi-platform benchmark framework and toolbox, to evaluate GUI agents. MMBench-GUI is comprising four evaluation levels: GUI Content Understanding ...

In the past few years, the adaptive waveform design algorithm has emerged; it improves multiple input and multiple output (MIMO) radar performance by designing the transmitting radar waveforms to ...

We introduce, for the first time in wireless communication networks, a quantum gradient descent (QGD) algorithm to maximize sum data rates in non-orthogonal multiple access (NOMA)-based simultaneously ...

I'm a bit confused about the gradient accumulation and batch size handling in the training loop, and I think there might be an issue with the rebatching logic. Main Issue: At line 840-843 of ...

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini ...

NVIDIA's August bulletin for Triton Inference Server also highlights fixes for three critical bugs (CVE-2025-23310, CVE-2025-23311, and CVE-2025-23317) that, if successfully exploited, could result in ...