Nowadays, Deep learning has gained increasing prominence in drug recommendation systems; however, critical challenges persist in feature fine-grained extraction and crossmodal information fusion. To ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

How is AI different from a neural net? How can a machine learn? What is AGI? And will DeepSeek really change the game? Read on to find out.

This issue has now been addressed. Li Hang's newly launched book 'Machine Learning Methods (2nd Edition)' dedicates a chapter ...

In a market where billions are traded every day, predictive accuracy is paramount. By combining adaptive decomposition, deep ...

Exceeding these limits leads to recall errors, eventually leading to catastrophic forgetting, which is a major challenge in continual learning. In this study, we characterize the theoretical maximum ...

To address these limitations, we investigate whether biologically inspired constraints, specifically excitatory (which is non-negative) feedforward connectivity, can drive the spontaneous emergence of ...

Photo: Amazon Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022.

Understanding how neural networks learn remains one of the central challenges in machine learning research. From random at the start of training, the weights of a neural network evolve in such a way ...