Real-world data typically exhibits long-tailed class distribution and contains label noise. Previous long-tail learning ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

The rapid emergence of Large Language Models (LLMs) and generative AI is reshaping how people and organizations access, synthesize, and apply knowledge.

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

In the dynamic landscape of learning in the digital age, K-12 educators are increasingly leveraging technology tools to enhance teaching and learning experiences. These tools, ranging from interactive ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...