However, these complex tasks require increasingly complex neural networks; some with many billion parameters. This rapid growth of neural network size has put the technologies on an unsustainable path ...

Two University of Montana researchers are using advanced neural networks along with other things to improve climate models to help predict threats to coastal ar ...

Neural organoids have been heralded as having huge potential for advancing our knowledge of the brain in several fields.

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

Imagine a horse stumbling on a rock. It regains momentum, then hits bumpier terrain and slows to a walk. Back on steady ...

Within human neuroscience, recent advances have transformed our perspective on depression and anxiety, reframing them as conditions of network-level ...

Complex network theory has become a key analytical framework in modern physics for studying structure, dynamics, and emergent behaviour in complex systems.

In order to uncover the relationship between structure and function, researchers used microfluidic devices to study neuronal networks. Uncovering the relationship between structure (connectivity) and ...

The unpredictability of AI could lead to a future where humans lose control over AI systems. Neural networks differ ...

Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. The researchers at the Max Planck Institute for ...