An artificial neural network is a deep learning model made up of neurons that mimic the human brain. Techopedia explains the full meaning here.

The Artificial Neural Network market was USD 248M in 2023 and is expected to reach USD 1256M by 2032, growing at a 19.79% CAGR from 2024 to 2032.

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

Abstract: Air quality forecasting is critical for environmental monitoring and public health, and in this study, we propose a hybrid approach utilizing Gooseneck Barnacle Optimization (GBO) and ...

Mixture-of-experts (MoE) is an architecture used in some AI and LLMs. DeepSeek garnered big headlines and uses MoE. Here are ...

Neural networks have revolutionized the fields of artificial intelligence (AI) and machine learning by providing a flexible, and scalable, means to solve complex, and traditionally computationally ...

ChatGPT has been shown to significantly enhance the overall learning experience for students. Its adaptive feedback allows ...

这些过拟合减少并不像在 dANN 中看到的那么大，这表明这里测试的生物启发树突结构可能是更有效的正则化器。虽然这些发现并不构成与所有传统正则化方法的比较，但它们表明观察到的正则化是仿生结构的一个新兴特性。

With advancements in LLMs across industries, Booth faculty are key figures leading broader application of language models. We ...

Artificial neural networks, central to deep learning, are powerful but energy-consuming and prone to overfitting. The authors propose a network design inspired by biological dendrites ...

Polymer research shows that machine learning can optimize tribological performance of epoxy coatings, with GBR outperforming ...