Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

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 ...

Artificial intelligence systems that look nothing alike on the surface are starting to behave as if they share a common ...

Language isn’t always necessary. While it certainly helps in getting across certain ideas, some neuroscientists have argued that many forms of human thought and reasoning don’t require the medium of ...

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

In this paper an attempt has been made to prepare an automatic tonal and non-tonal pre-classification-based Indian language identification (LID) system using multi-level prosody and spectral features.

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

In the rapidly evolving world of artificial intelligence (AI), there is a constant drive to push the boundaries of what is possible. One area where this is particularly evident is in the development ...