Key Takeaways Evidence-based therapies for alcohol addiction have scientific validation behind them, making them more ...
A big part of his work is figuring out when a statistical method is truly the best choice. Some problems have straightforward ...
Artificial Intelligence (AI) models are only as good as the data on which they are trained. Yet gathering enough high-quality ...
A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...
Grammatical error correction (GEC) is a key task in natural language processing (NLP), widely applied in education, news, and ...
Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...
Old satellites and other space junk fall toward Earth every day, and the shock waves they create could be used to track their trajectories, according to new research.
Quantitative and qualitative approaches face different challenges and expectations, particularly when it comes to data ...
From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence
Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
Even as they’re pushing the boundaries of research and discovery with AI, UC scientists are asking the right questions about ...
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