In recent years, with the rapid development of large model technology, the Transformer architecture has gained widespread attention as its core cornerstone. This article will delve into the principles ...

Artificial intelligence is accelerating material discovery and design by automating analysis, guiding experiments, and enabling predictive modeling across spectroscopy, microscopy, and synthesis.

Seq2Seq is essentially an abstract deion of a class of problems, rather than a specific model architecture, just as the ...

A new brain-computer interface can decode a person's inner speech, which could help people with paralysis communicate.

A brain-computer interface has gotten better than ever before at translating thoughts from people with speech difficulties. Researchers are also thinking through how to protect users’ privacy ...

A research team has developed a deep learning–driven computed tomography (CT) imaging pipeline that enables precise, ...

Image segmentation is crucial in many fields, but existing image segmentation models based on encoder-decoder networks are constrained by manual parameter tuning and the limited applicability of the ...

Brain-computer interfaces give people with disabilities the ability to communicate by decoding signals in the brain. But what happens when these people don't want to communicate? A new study finds ...

Three-valued logic offers potential advantages over binary logic, including faster computation, smaller chip size and reduced interconnects that leading to lower complexity, higher speed and improved ...

By now, riding bikes is second nature and is as easy as walking but they still needed their father’s help to decode questions peppered at them by the media. Despite their youth, the two will ...