This book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the use of conditional independence tests. These tests are ...

Chongzhi Di develops statistical learning methods for analyzing complex, high-dimensional, and real-time data in biomedical and behavioral research. His work focuses on wearable devices, accelerometry ...

CU Boulder’s Bortz group, in applied math, wins $1.88 million National Institutes of Health grant to study methods for learning models directly from data Data-driven discovery methods are a recently ...

Marketers must be deliberate when adding dimensions to a machine learning model. The cost of adding too many is accuracy. Decluttering fever is sweeping the country thanks to Marie Kondo. But clutter ...

Move over large language models — the new frontier in AI is world models that can understand and simulate reality. Why it ...

ToxPredictor accurately predicts drug induced liver injury (DILI) to offer a valuable “go/no-go” tool in clinical decision making.

With the aggressive scaling of semiconductor devices, the increasing complexity of device structure coupled with tighter metrology error budget has driven up Optical ...

A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...