Despite much research on xu-argument based continuation writing tasks, little has been done to explore its role with multiple factors in language output. This study, recruiting 80 Chinese high school ...

Deep reinforcement learning methods have shown promising results in learning specific tasks, but struggle to cope with the challenges of long horizon manipulation tasks. As task complexity increases, ...

We need to learn our letters before we can learn to read and our numbers before we can learn how to add and subtract. The same principles are true with AI, a team of scientists has shown through ...

The Power of Attention Networks: Dr. Feng isolated baseline connectivity within attention and cognitive control networks as ...

A new framework allows AI models that have already been trained to learn new tasks without sacrificing performance when performing old tasks. The framework, called CHEEM, also improves an AI model’s ...

There’s a common assumption that if someone starts learning a language when they are very young, they will quickly become fluent. Many people also assume that it will become much harder to learn a ...