In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), ...

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...

Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...

Abstract: The importance of stock price prediction is vital in most financial markets mainly due to its variable effect in risk management concerning investments. This paper aims to predict stock ...

Automated Document Intelligence that processes both native PDF and image-based DODA files using a combination of pattern recognition and large language model interpretation. It ex ...

New data shows a nine-atom quantum system tracks temperature trends more accurately than established classical echo state ...

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...

A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs ...

Standards and guidelines for development co-operation with concrete examples of their implementation ...

AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology by treating complex biological data like a language.

In my Sex, Drugs, and Artificial Intelligence class, I have strived to take a balanced look at various topics, including ...