To address the above issues, this article presents a novel deep learning (DL) network method based on a multitask learning strategy to realize joint inversion of gravity and magnetic data. Due to the ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

Modern behavioral data science approaches treat every user interaction as a signal. Micro-interactions like hover time, pause ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

New research reveals a likely culprit of stalled innovation efforts: Teams are blending incompatible learning activities at ...

Seoul National University College of Engineering announced that a research team has developed a new hardware security ...

Artificial intelligence (AI) is transforming social science research by enabling scalable data analysis, predictive modeling, and causal inference, thereby reshaping the methodological foundations of ...

The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike ...