#Neural Networks

In an innovative leap forward for artificial intelligence, researchers from the University of Göttingen and the Max Planck Institute for Dynamics and Self-Organization have unveiled “infomorphic neurons” that can learn independently by emulating the complex learning processes of the human brain. Published in the Proceedings of the National Academy of Sciences, this research presents a significant advancement in creating artificial neurons that more closely mimic their biological counterparts. The capability of these neurons to self-organize and independently derive necessary information marks a substantial departure from conventional artificial neural networks, which largely rely on external supervision to process input signals.

In a groundbreaking development, researchers from the University of Delaware have unveiled a novel technique combining artificial intelligence (AI) with Magnetic Resonance Elastography (MRE) to measure brain stiffness, potentially transforming our understanding of brain aging and neurodegenerative diseases like Alzheimer’s. This research, helmed by Curtis Johnson and Austin Brockmeier, marks a significant step forward in predicting the age of a healthy brain and detecting deviations that might indicate health issues.