A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science ...

Overview: AI models may unintentionally learn from one another through shared datasets, especially in open-source communities ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

AI recognizes complex patterns The researchers’ FLAME model uses machine learning to uncover hidden insights in data and ultimately improve predictions. Below is an example of how the model can ...

Machine-learning training (U.S. Patent Nos. 11,386,367 and 11,537,960)—methods and systems for optimizing the scheduling of live events, and ...

A machine learning model was able to accurately predict peak and average intraocular pressure (IOP), according to a study published in Frontiers in Medicine. 1 This learning model could help with ...

Model development and training data were obtained from the Simons Foundation Powering Autism Research for Knowledge (SPARK) study (version 8 – June 2022), comprising 30,660 participants from 26 ...

"Machine learning model helps identify patients at risk of postpartum depression." ScienceDaily. ScienceDaily, 19 May 2025. <www.sciencedaily.com / releases / 2025 / 05 / 250519131029.htm>.