Early-warning signs of marsh decline provided by the model could be crucial for conservation. “Once [marsh] loss occurs, that ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

The researchers identified a clear trade-off between environmental cost and predictive performance. Fully DFT-based workflows ...

The Graduate School of Information Science (GSIS) at Tohoku University, together with the Physics and Informatics (PHI) Lab ...

The metaphors we use drive the systems we design. Treat an organization like a machine and you’ll optimize for speed, control ...

More recent technical advances, based on identical basic principles, are revolutionizing the field. Artificial intelligence, ...

The new AI-powered algorithm analyses high-resolution microscope images of metal surfaces to assess two crucial indicators of corrosion: the thickness of corrosive deposits and the porosity (tiny ...

AI model calculates a protein-based stemness index to predict tumor aggressiveness and treatment resistance. Proteomic-based ...

The Graduate School of Information Science (GSIS) at Tohoku University, together with Physics and Informatics (PHI) Lab at NTT Research, Inc., have ...