For more than a decade, Alexander Huth from the University of Texas at Austin had been striving to build a language decoder—a tool that could extract a person’s thoughts noninvasively from brain ...

Define feedforward networks, recurrent neural networks, convolutional neural networks, attention, and transformers. Implement and train feedforward networks, recurrent neural networks, convolutional ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By combining feature extraction, joint embedding, and advanced ...

Learning English is no easy task, as countless students well know. But when the student is a computer, one approach works surprisingly well: Simply feed mountains of text from the internet to a giant ...

A tool known as BERT can now beat humans on advanced reading-comprehension tests. But it's also revealed how far AI has to go. In the fall of 2017, Sam Bowman, a computational linguist at New York ...