Nature

Optimizing machine learning for network inference through comparative analysis of model performance in synthetic and real-world networks

In an era marked by exponential data growth and pervasive digital connectivity, understanding the intricate structure of networks has become a critical challenge across various domains. Whether ...
Nature

A unified pre-trained deep learning framework for cross-task reaction performance prediction and synthesis planning

Artificial intelligence has transformed the field of precise organic synthesis. Data-driven methods, including machine learning and deep learning, have shown great promise in predicting reaction ...
GameSpot

Baldur’s Gate 3 Dev Embraces Machine Learning For “Tasks That Nobody Wants To Do”

GameSpot may receive revenue from affiliate and advertising partnerships for sharing this content and from purchases through links. Machine-learning and artificial intelligence systems are some of the ...