In 1986, three scientists improved backpropagation, making neural networks learn effectively from data

A groundbreaking 1986 technique called backpropagation revolutionized artificial intelligence, enabling computers to learn ...
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A survey of geometric graph neural networks: data structures, models and applications

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design. In addition, Nature has recently ...
Nature

Discovering network dynamics with neural symbolic regression

Network dynamics are fundamental to analyzing the properties of high-dimensional complex systems and understanding their behavior. Despite the accumulation of observational data across many domains, ...
Nature

Valuation of science and technology innovation enterprises based on XGBoost-GA-BP neural network model

The science and technology innovation board (STIB) is a critical initiative to support the high-quality development of technology innovation enterprises. Accurate valuation of STIB-listed enterprises ...