Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Artificial Intelligence and Machine Learning have both been hot button topics for a few years now, but the two terms are actually very different.

Two RIKEN researchers have used a scheme for simplifying data to mimic how the brain of a fruit fly reduces the complexity of ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

Using machine learning and math, a BYU student improved a key tool firefighters rely on during wildfire season ...

Dr. Muhammad Waqar Akram and his team from the Department of Farm Machinery and Power at University of Agriculture Faisalabad ...

While humans concentrate on the meaning of objects, artificial intelligence focuses on visual characteristics.