By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Black Mesa announces funding from the Advanced Research Projects Agency for Health (ARPA-H) to develop a Good AI ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Follow-up observations with the Five-hundred-meter Aperture Spherical Telescope (FAST) and new data from Parkes and the Green ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Computational biology, a field that has emerged at the intersection of biology, computer science, and mathematics, has revolutionized our understanding of living systems. By leveraging computational ...

Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation ...

The AI revolution has transformed behavioral and cognitive research through unprecedented data volume, velocity, and variety (e.g., neural imaging, ...

Abstract: Excessive computational cost is one of the main reasons limiting the application of regression analysis in engineering data mining. In this article, an undersampling method is proposed to ...

WEST LAFAYETTE, Ind. — With recent advances, cancer research now generates vast amounts of information. The data could help researchers detect patterns in cancer cells and stop their growth, but the ...

Nov. 19, 2025 — Applications for the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) are being accepted through Jan. 15, 2026, with an informational webinar set for Dec. 3, ...

Researchers from Turku Bioscience Centre at the University of Turku, Finland, have developed a new computational method to interpret complex single-cell data. The method helps researchers identify and ...