Rats perceive the world with a complexity that modern artificial neural networks struggle to match. This is the finding of a recent study published in the journal Patterns by the Visual Neuroscience ...

These networks don’t employ any feedback loops or cycles, and the data is processed sequentially without any iteration. Convolutional Neural Networks (CNN): Designed primarily for analyzing visual ...

The core innovation of this technology lies in the design and implementation of the Quantum Convolutional Neural Network (QCNN ... More importantly, the architecture of the QCNN significantly ...

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.

Neuromorphic computing is an emerging computing technology inspired by the operational principles of the human brain. By employing neuromorphic devices to emulate neuronal functions and construct ...