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 ...

The Intelligence Advanced Research Projects Agency (IARPA) is seeking information on established techniques, metrics and capabilities related to the evaluation of generated text and the evaluation of ...

In my last article, I wrote about the democratizing effect of generative AI in game creation, and how it was empowering a new generation of independent and small-scale creators to deliver new content ...

Artificial intelligence (AI) has made tremendous progress since its inception, and neural networks are usually part of that advancement. Neural networks that apply weights to variables in AI models ...

RETRO uses an external memory to look up passages of text on the fly, avoiding some of the costs of training a vast neural network In the two years since OpenAI released its language model GPT-3, most ...