When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting ...

We need to learn our letters before we can learn to read and our numbers before we can learn how to add and subtract. The same principles are true with AI, a team of scientists has shown through ...

With the rapid growth of the international banking industry, bank failures can lead to severe economic losses and social ...

Despite the widespread success of neural networks, their susceptibility to adversarial examples remains a significant challenge. Adversarial training (AT) has emerged as an effective approach to ...

FP has a very complex degradation process. Merging with Fourier transforms and pupil aperture scanning causes difficulty in reconstructing high-resolution images by the commonly used deep neural ...

A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a 12.02× improvement in runtime efficiency, while using only 22.24% of the ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

School of Management, Dalian Polytechnic University, Dalian 116034, P. R. China School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, P. R. China ...