斯坦福机器学习入门课程，讲师为Andrew Ng，适合数学基础一般的人，适合入门，但是学完会发现只是懂个大概，也就相当于什么都不懂。省略了很多机器学习的细节 Neural Networks for Machine Learning, Coursera上的著名课程，由Geoffrey Hinton教授主讲。 Stanford CS 229, Andrew Ng ...

Noradrenaline plays an integral role in learning by optimising behavioural strategies and facilitating choice execution. Testing the noradrenergic framework of learning in the context of human ...

The Summer School in "REINFORCEMENT LEARNING AND LARGE LANGUAGE MODELS FOR ROBOTICS" is designed to equip PhD students, and young researchers with cutting-edge knowledge and practical skills combining ...

It is hard to imagine anything more fascinating than automated systems that improve their own performance. The study of learning from data is commercially and scientifically important. This course is ...

An information-theoretic model correctly predicts that rats quickly learn an instrumental action despite a 16-min delay to reinforcement, challenging basic assumptions in reinforcement learning ...

Dopamine fundamentally contributes to reinforcement learning, but recent accounts also suggest a contribution to specific action selection mechanisms and the regulation of response vigour. Here, we ...

Discrimination toward ethnic minorities is a persistent societal problem. One reason behind this is a bias in trust: people tend to trust their ingroup and comparatively distrust outgroups. In this ...

First, neurophysiological evidence for the learning of invariant representations in the inferior temporal visual cortex is described. This includes object and face representations with invariance for ...

A curated list of machine learning papers, codes, libraries, and databases applied to fluid mechanics. This list is not comprehensive; if something is missing, please feel free to add it while ...