A geometric deep learning method for decoding brain dynamics. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 02 / 250217133453.htm ...

Recent headlines predict a future of mind-reading machines, but the real breakthrough is about technology that understands ...

Using Deep Learning for Brain Imaging Data Analysis. News-Medical, viewed 12 July 2025, ... Lloyd M. Smith discusses proteoforms, an area of research worthy of the next Human Genome Project.

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

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Inaccurate metaphors about the mind can cause real harm, for instance leading educators to 'train' children like algorithms.

A transdisciplinary team has created an advanced atlas of the human deep brain, revealing the details of the architecture of nuclei and connections. The results are published in Scientific Data ...

Scientists decode imagined finger movements into robotic control, marking a game-changing moment in noninvasive brain tech.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI. A new machine learning approach that draws inspiration from the way the human ...

New neurons in your brain? A landmark study from Karolinska Institutet finds adults keep forming brain cells into the old age ...

The human brain is the most complicated organ that nature has ever created: 100 billion nerve cells and many more contact points between them provide our brain with capabilities that no supercomputer ...

A geometric neural net for dynamic data. Traditional deep learning is not suited to understanding dynamic systems that change regularly as a function of time, like firing neurons or flowing fluids.