Process of Prediction Using Machine Learning

LCGC Blog: Artificial Intelligence: The Good, The Challenging, and The Terrifying

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

Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

Nanowerk

Ultra-robust machine-learning models capable of stable molecular simulations at extreme temperatures

Researchers have created a groundbreaking physics?informed machine?learning model that can run molecular simulations for ...

isixsigma on MSN

Garbage in, machine learning out: Why process stability is the prerequisite for AI success

The promise of AI revolutionizing the modern workplace is a rather seductive one. You feed it your data, find patterns that ...

We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents’ observations

Researchers are using machine learning models to identify gentrification in imagery. Community insights help keep the models ...

Wet lab research and deep machine learning identify a key driver of long-term inflammatory memory

One of the most puzzling aspects of common chronic inflammatory skin diseases such as psoriasis is how they become chronic.

International Atomic Energy Agency

New IAEA Research Project Uses Machine Learning to Better Predict Polymer Changes under Radiation

IAEA launches a new research project on data-driven prediction of structural changes in polymers induced by radiation. The IAEA is inviting research organizations to join a new project that will use ...

IEEE

Machine Learning based Controller using Gaussian Process Regression in Electric Motors: Interpretability, Safety and Reliability

Abstract: In industrial applications, proportional-integral (PI) controllers are frequently employed for controlling permanent magnet synchronous motors (PMSMs) due to their fast response rate and ...

Frontiers

Web-based cardiovascular disease risk prediction using machine learning

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...

The Lancet

When to and when not to use machine learning in risk prediction models

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