Restoring communication Jerry Tang and colleagues at The University of Texas at Austin have developed a language decoder that translates brain activity data from functional MRI scans into a continuous ...

Brain–computer interfaces (BCIs) can restore communication by decoding speech-related motor responses from intracranial recordings. However, it has been unclear whether language decoders could achieve ...

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 ...

Scientists said Monday they have found a way to use brain scans and artificial intelligence modeling to transcribe "the gist" of what people are thinking, in what was described as a step toward mind ...

Language and speech are how we express our inner thoughts. But neuroscientists just bypassed the need for audible speech, at least in the lab. Instead, they directly tapped into the biological machine ...

We note that our work focuses on architectural comparisons rather than competing with recent SLM developments (e.g., SmolLM, MobileLLM). Our analysis isolates the fundamental advantages of ...

The diagram represents a "decoder-only" transformer architecture, the core design behind autoregressive language models such as GPT. The process begins with raw text, for example, “The cat sat on the” ...

🤖 The LLM Zoo: Decoding the Different Types of Large Language Models The world of Large Language Models (LLMs) is evolving at a breakneck pace. More than just chatbots, these models are sophisticated ...