Researchers at Oxford University uncover how deep neural networks possess an intrinsic simplicity bias, enabling them to generalize effectively by favoring simpler solutions over complex ones.

Researchers have explored the potential of deep neural networks (DNNs) in transforming fragrance design. By analyzing the sensing data of 180 essential oils, the DNN was trained using the odor ...

Artificial neural networks are inspired by the early models of sensory processing by the brain. An artificial neural network can be created by simulating a network of model neurons in a computer.

Artificial intelligence is largely a numbers game. When deep neural networks, a form of AI that learns to discern patterns in data, began surpassing traditional algorithms 10 years ago, it was because ...

Being able to noninvasively stimulate the deep brain without stimulating shallow regions is a key goal of non-invasive ...

This article establishes a neural network-based technique for automatic peak picking in 2D NMR spectroscopy, demonstrating a ...