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

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

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

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

In now days, deep learning has become a prominent and emerging research area in computer vision applications. Deep learning permits the multiple layers models for computation to learn representations ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

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.