A comparative study of sugar beet and maize seedling imagery found that a custom CNN outperformed classical classifiers, ...

A customised convolutional neural network detected mitotic figures in breast cancer histopathology images with a reported ...

A neural network isn't magic , it's a series of geometric transformations that gradually pull scattered perceptions apart and ...

Deep brain stimulation (DBS) is a therapeutic technique that delivers electrical pulses to specific areas of the brain via an implant to modulate neural activity. It is already widely used for ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

"I use ChatGPT and AI image generators, but why is AI so smart?" "What is the difference between machine learning and deep learning anyway?"AI is a hot topic in the news and on social media every ...

We study deep neural networks and their use in semiparametric inference. We establish novel rates of convergence for deep feedforward neural nets. Our new rates are sufficiently fast (in some cases ...

A neural network is a machine learning (ML) model designed to process data in a way that mimics the function and structure of the human brain. Neural networks are intricate networks of interconnected ...

Trained optical layers classify hidden features of laser beams, offering a new way to decode information carried by ...