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 ...

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andrew Harmel-Law and a panel of expert ...

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 ...

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

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 ...

Meta’s new TRIBE AI model decodes brain activity with 70x higher resolution. Discover how this foundation model uses fMRI data to advance in-silico n.