Infomorphic Neurons: Self-Learning AI Inspired by Biology

Imagine if artificial neurons could learn like the ones in our brains, adapting, making decisions on their own, and figuring things out without needing a central command. That’s exactly what scientists are working on with a new kind of artificial neuron called infomorphic neurons. Unlike traditional artificial neural networks, these neurons don’t need an external system to guide their learning. Instead, they learn in a self-organized way, just like biological neurons do.

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Cracking the Mystery of Strange Metals with Quantum Entanglement

Quantum criticality in metals is an exciting area of study where physics explores mysterious concepts. A new study in Nature Communications looks at a unique way to understand entanglement at a specific point called the Kondo destruction quantum critical point (QCP). Instead of using standard methods, the researchers focus on concepts like mutual information and quantum Fisher information (QFI) to explore how quantum connections change as they get closer to this transition.

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