In recent years, predictive technologies for volcanic eruptions have advanced significantly, particularly with the ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...

Many "AI experts" have sprung up in the machine learning space since the advent of ChatGPT and other advanced generative AI constructs late last year, but Dr. James McCaffrey of Microsoft Research is ...

A neural network is a computational machine-learning model that follows the structure of the human brain. It consists of networks of interconnected nodes or neurons to process and learn from data, run ...

Artificial-intelligence (AI) models are modern oracles. The neural networks that power them are flexible mathematical tools, capable of finding any pattern, fitting any shape and drawing any line.

Based on a patient's case history, the Delphi-2M AI "predicts the rates of more than 1,000 diseases" years into the future, the team from British, Danish, German and Swiss institutions wrote in a ...

A technical paper titled “Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks” was published by researchers at Purdue University, Indian Institute of Technology (IIT) Madras, ...

A landmark has been reached in the field of physics and artificial intelligence with the successful resolution of a ...

In a study published in August, Yale researchers discovered neural networks that could predict underage drinking behavior and risk. By utilizing functional magnetic resonance imaging, or fMRI, and ...

Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs well ...