Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Chronic pain conditions, long-lasting medical conditions characterized by persistent pain in specific areas of the body, are often difficult to diagnose and treat. Understanding the biological markers ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Laser-based processes for metals are considered to be particularly versatile in industry. Lasers can be used, for example, to ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Deep learning using routine lab data showed promise in distinguishing candidemia from bacteremia but fell short of outperforming established biomarkers.

To delineate the metastatic microenvironment,, researchers in China have developed an explainable machine learning model ... and cytokine markers linked to tumor dissemination and prognosis. Their ...

A crucial part of the machine learning lifecycle is managing data drift to ensure the model remains effective and continues to provide business value. Data is an ever-changing landscape, after all.

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

JUNE 10, 2021 — The School of Data Science (SDS) at UTSA is currently hosting its inaugural boot camp with the National Security Agency (NSA). It is designed to build foundational knowledge and skills ...