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

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

Methane (CH4) pyrolysis, a reaction that produces hydrogen without emitting carbon dioxide, often utilizes molten media ...

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 ...

Machine learning can help tighten constraints on the overarchingFor almost as long as humans have existed, we have been ...

Toronto, June 04, 2025 (GLOBE NEWSWIRE) -- If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world ...

Apple has published two new research papers on its Machine Learning blog, detailing an AI model for improved photogrammetry and another that acts as a video-related personal assistant.

Apple's machine learning researchers have worked on myriad ways to improve Apple Intelligence and other generative AI systems, as its research papers accepted by a major AI conference demonstrate.

The work was supported by the Air Force Office of Scientific Research, the Office of Naval Research, and the US National Science Foundation. Most approaches to machine learning-based inverse design ...

Venkata Bhardwaj Komaragiri, a noted expert in the field of AI and adaptive networking, has recently published a new research paper discussing how social responsibility initiatives can be enhanced ...