UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Plants produce a wide diversity of compounds. Broadly, these are separated into primary metabolites, which are necessary for ...

If you ever wondered how to unlock powerful insights fast from your data or ideas, then you probably should check out Pondershort.com secrets — its kinda like ...

Headquartered a few blocks from Times Square in Manhattan, NYC Data Science Academy also offers a fully remote data science/machine learning bootcamp that takes part-time students 24 weeks and ...

Turning tabular data into ‘pseudo-notes’ that mirror clinical documentation allows AI models to analyze patient information ...