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 ...

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.

Fabbaloo

PiGRAND Brings Physics Informed Graph Diffusion To AM

A new research model called PiGRAND merges physics guidance with graph neural diffusion to predict and control AM processes.

International Atomic Energy Agency

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

The IAEA is inviting research organizations to join a new project that will use machine learning to better predict structural changes in polymers caused by ionizing radiation. Rad ...

IEEE

Walking Trajectory Prediction Using Signal Processing & Machine Learning Based Models

Abstract: This study compares machine learning (LSTM, GRU) and signal processing (Particle Filter, Kalman Filter) approaches for walking trajectory prediction. We evaluated prediction accuracy, ...

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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