As machine learning continues to revolutionize various industries, traditional neural networks face limitations when dealing ...

On 17 October 2024, Martina Lamberti publicly defended her Ph.D. thesis, "Know the Past to See the Future: Memory and ...

John Hopfield and Geoffrey Hinton, the 2024 Physics Nobel laureates, developed computer systems that can memorise and learn ...

@article{nguyen2016synthesizing, title={Synthesizing the preferred inputs for neurons in neural networks via deep generator networks}, author={Nguyen, Anh and ...

Hopfield and Hinton's groundbreaking work in artificial neural networks paved the way for modern AI applications like ChatGPT ...

In this post, we will implement a multiple layer neural network from scratch. You can regard the number of layers and dimension of each layer as parameter. For example, [2, 3, 2] represents inputs ...

In fusion experiments, understanding the behavior of the plasma, especially the ion temperature and rotation velocity, is ...

If the connections between neurons do not have a cycle, then computer scientists call it a feedforward neural network. The ...