Although neural networks are demonstrating power in fields such as image recognition, we need to not only identify images but also make it possible for humans to understand what kind of basis the ...
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How neural networks represent data: A potential unifying theory for key deep learning phenomena
How do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science and Artificial Intelligence Lab (CSAIL) says that understanding these ...
How do the circuits of the human brain work—and what happens when they are disrupted? To investigate these questions, ...
Using single-cell RNA sequencing and genetic screening, the researchers identified key surface proteins that mediate ...
Johannes Striebel et al.: Reproducible Human Neural Circuits Printed with Single-Cell Precision Reveal the Functional Roles of Ephaptic Coupling, in: ACS Nano, October 2025; DOI: ...
What if AI could keep learning like a human brain, in new conditions even after it was used, deployed & put to use in real life? A Liquid Neural Network (LNN) is a new type of artificial intelligence ...
In 1943, a pair of neuroscientists were trying to describe how the human nervous system works when they accidentally laid the foundation for artificial intelligence. In their mathematical framework ...
Unlike their more modern large language model counterparts, artificial neural networks require human input to learn and function. ANNs have been around since the 1950s. They started taking hold in ...
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