Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

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

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.

Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and ...

Modern ERP platforms are becoming smarter, more adaptive, and far more predictive, unlocking capabilities that were nearly impossible just a few years ago. For organizations looking to stay ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Spotting a needle in a haystack is easy compared to Yuejie Chi's typical day.As a leading researcher on the underpinnings of large language models ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Physicist David Shih used a Rubik’s Cube to inspire artificial intelligence research aimed at simplifying complex equations.

A fungus that can wipe out up to 50% of a sugar beet crop may soon meet its match in a new generation of smart disease forecasting. A new study ...

Research from MIT Sloan School of Management has demonstrated a new way of designing social science experiments that can ...