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

PRD #5 is the subject of this topic: Machine learning-enhanced modeling and simulation for predictive scientific computing. Scientific computing within the DOE traditionally has been dominated by ...

KALAMAZOO, Mich.—Western Michigan University doctoral student Andrew Messecar received an Outstanding Student Poster Award at the 37th North American Molecular Beam Epitaxy Conference (NAMBE 2023) ...

The poster is titled, “A machine learning approach to acute heart failure risk stratification.” AHF syndromes are associated with significant morbidity and mortality.

Machine learning, a type of artificial intelligence, has many applications in science, from finding gravitational lenses in the distant universe to predicting virus evolution. Hubble Space Telescope ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is ...

The rapid evolution of Artificial Intelligence (AI) is not just reshaping industries but is also influencing the path of scientific ...

Bringing high-performance computing and machine learning closer to the action With $1 million NSF grant, researchers from Lehigh and Drexel universities to develop cutting-edge system for real ...

Romit Maulik Assistant Professor, Data Science, Pennsylvania State University Wednesday, Mar. 12 | 10 a.m. | AERO 114. Abstract: Machine learning stands poised to revolutionize the process of ...

But although Germany is the world’s poster child for renewable energy, ... and machine learning then improves the predictive models. ... Scientific American is part of Springer Nature, ...

Recognizing that the applications of machine learning were endless, Trask joined Penn Engineering with new research goals in mind. "The problems we focus on at Sandia are so complex that traditional ...

Synopsis. The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development ...