Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...

Artificial intelligence may write award-winning essays and diagnose disease with remarkable accuracy, but biological brains ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

By implementing an automated 3D cell segmentation process, researchers mapped neurons and muscle fibers at the single-cell ...

This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...

The authors don't ascribe any of that specifically to the term hallucination, but hallucination is one of those misapplied terms that imply agency and consciousness on the part of what is simply a ...

“The KL1140 is our response to the challenges of scaling LLMs in the cloud alone,” said founder and Chief Executice Albert ...

According to the MRI brain scans of 3,802 neurotypical people between infancy and 90 years old, the architecture of the human ...

Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...

“The Bee Sting” by Paul Murray. The plot builds slowly to a breathtaking crescendo. But the real genius is in how it’s told: ...