How do we measure chaos and why would we want to? Together, Penn engineers Dani S. Bassett, J. Peter Skirkanich Professor in Bioengineering and in Electrical and Systems Engineering, and postdoctoral ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

Using data from historic ship measurements and Argo floats, researchers introduced a machine learning technique that improves assessment and analysis of the ocean's declining oxygen levels. Oxygen is ...

Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...

Higher education is awash in data. Whether it’s the indicators the college rankings industry uses to compare institutions, the metrics faculty and administrators employ to gauge the importance of ...

Please provide your email address to receive an email when new articles are posted on . A noninvasive sensor may measure glucose values by using dielectric spectroscopy to scan radiofrequencies.

The interim guidance outlines nine principles and existing standards and guidelines impacted by them and is part of a path to ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

A shift is underway in marketing measurement, accelerated by the collapse of the deterministic model and the rise of AI-powered ad platforms.

Georgia Tech researchers introduced a groundbreaking machine learning technique to improve the assessment and analysis of declining oxygen levels in the ocean. Using data from Argo floats (pictured) ...