I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Floods are some of the most devastating natural disasters communities in the United States face, causing billions of dollars ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

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

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

We provide a brief overview of RISs, a summary of ML methods with RIS architecture, and a comparison of the available methodologies to explain the combination of these two technologies. Moreover, the ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Multimodal machine learning (MML) is a tempting multidisciplinary research area where heterogeneous data from multiple modalities and machine learning (ML) are combined to solve critical problems.

Experts explain how skipping screen time, studying infants' brain growth may improve health, long-term learning by Cedars-Sinai Medical Center ...