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 ...

On 17 October 2024, Martina Lamberti publicly defended her Ph.D. thesis, "Know the Past to See the Future: Memory and Prediction in In-Vitro Cortical Neurons," at the University of Twente. Her ...

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 ...

The rapid evolution of neural network methodologies has significantly improved the prediction of respiratory motion, which is critical for the precision of radiotherapy and robotic-assisted surgical ...

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 ...

Parth, the digital nerd, dances between the realms of Android and iPhone like a tech-savvy tango. With a keyboard as his compass, he navigates the binary seas, uncovering hidden gems and unraveling ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

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, ...

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.