From solving puzzles to masterfully playing a game of chess, current artificial intelligence tools have employed algorithms ...

The core of this patent lies in constructing an educational cognitive engine based on large models, which can be summarized in several key steps. First, Rongbo Education will collect teaching behavior ...

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 ...

Fluctuations in brain activity, also known as neural variability, enable us to be flexible in adjusting our behavior to the ...

Machine learning identifies disease-specific signatures in organoids derived from schizophrenia and bipolar disorder patients.

But as reliance deepens, a quieter tension is emerging: the gradual outsourcing of memory, reasoning and even creativity to machines. This shift, known as cognitive offloading, raises urgent questions ...

In a recent study published in the journal NPJ Digital Medicine, researchers have developed a deep learning algorithm capable of analyzing high-resolution images of retinal vasculature to detect ...

Researchers combined patient-derived brain organoids with machine learning to study schizophrenia and bipolar disorder. Their ...

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Youngsters who once built things, played games, and read books are now immersed in one-dimensional, passive tidbits of ...