In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Using machine learning and a large volume of data on genes and existing drugs, researchers identified a combination of ...

This study reviews recent advances in ultrasonic cement bond quality evaluation and proposes a unified framework for enhanced signal processing in ...

Using machine learning and a large volume of data on genes and existing drugs, researchers at Lund University in Sweden have ...

Designing materials that are both lightweight and exceptionally robust has always been a goal for engineers. However, ...

Professor Joongoo Kang's team from the Department of Physics and Chemistry at DGIST and Professor Sohee Jeong's team from the ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Expect the unexpected, the saying goes, and that was certainly true in 2025. President Donald Trump was a major source of global and domestic disruption, but the year’s instability was also driven by ...

Using machine learning and a large volume of data on genes and existing drugs, researchers at Lund University in Sweden have identified a combination ...

Researchers use AI to visualize reaction pathways of colloidal quantum dots as subway maps, clarifying synthesis and speeding ...

Microplastics in rivers, lakes, and oceans aren’t just drifting debris—they’re constantly leaking invisible clouds of ...

The unique properties of high-entropy alloys make them ideal for hydrogen storage, offering advantages in stability and ...