Potential treatments for amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases may already be out there in ...

Dr. Xiaomin Chen, a researcher at The University of Alabama in Huntsville, has published a paper in Geophysical Research ...

Researchers developed a machine learning model that can evaluate patients' PPD risk using readily accessible clinical and demographic factors. Findings demonstrate the model's promising predictive ...

That includes developing an early landslide warning system ... and oil extraction efficiency with the model's accurate multiphase flow predictions. Its precise control of powder processing ...

Ferguson's expertise lies in using machine learning models ... to mimic what the model would see if deployed in CEBAF. The results were a triumph. "The fault prediction model was able to correctly ...

Designed to support the entire machine learning lifecycle -- from data ingestion and model ... predictions with minimal effort. Additionally, Azure ML supports CI/CD pipelines, allowing for automated ...

An AI model was trained to determine prognosis of indeterminate thyroid nodules using ultrasound images ... an attention-multiple-instance deep learning AI model to predict whether indeterminate ...

By consolidating machine learning approaches into a coherent map, I-Con is transforming how researchers think about model design — speeding up innovation and revealing fresh paths in the AI ...

It accurately captures nonlinear, directional stress-strain responses with prediction ... machine learning approaches fail. Unlike many previous methods, the model is trained on real-world data ...