The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.
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Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Choosing the right blueprint can accelerate learning in visual AI systems. Artificial intelligence systems built with biologically inspired structures can produce activity patterns similar to those ...
Fuzzy neural networks and systems represent a synergistic integration of fuzzy logic and artificial neural networks, aiming to encapsulate human-like reasoning within powerful learning frameworks. By ...
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
Recent advances in neuroscience, cognitive science, and artificial intelligence are converging on the need for representations that are at once distributed, ...
Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...
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 ...
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