Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

With the widespread use of heterogeneous computing platforms in the AI field, neural network models on heterogeneous computing platforms are experiencing problems such as low execution efficiency and ...

Neural network-assisted (NNA) Kalman filters provide an effective solution to addressing the filtering issues involving partially unknown system information by incorporating neural networks to compute ...

A new study utilizes compact neural networks to uncover the underlying mechanisms behind human decision-making. Scientists have long studied how people and animals make decisions, often looking at how ...

Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

This Python library implements Constrained Monotonic Neural Networks as described in: Davor Runje, Sharath M. Shankaranarayana, “Constrained Monotonic Neural Networks”, in Proceedings of the 40th ...

Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...