The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.

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 ...

Some visual AI systems can simulate human brain activity before ever being trained on any data. After small tweaks to the architecture, some untrained convolutional neural networks better simulated ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...

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 ...