A novel geometric deep learning framework designs ligand-specific protein binders, enhancing therapeutic potential in cell ...

AI and ML have significantly improved research capabilities by automating routine tasks and enhancing data analysis. Scientists are increasingly using AI in areas such as laboratory automation, ...

Proteins are life's engines, powering processes like muscle movement, vision, and chemical reactions. Their environments—water, lipid membranes, or other condensed phases—are critical to their ...

Andrew Teschendorff, Professor at the Chinese Academy of Sciences, is developing computational systems-biological tools to ...

Researchers at Hokkaido University have developed a new computational tool to help evolutionary biologists analyze complex genetic data to reconstruct the evolutionary history of species and the ...

In the Pratt School of Engineering’s revamped introductory computing course EGR 105L, Computing for Engineers, students are ...

Computational neuroscience is the field of study in which mathematical tools and theories are used to investigate brain function. It can also incorporate diverse approaches from electrical ...

Jan. 13, 2025 — The process of updating deep learning/AI models when they face new tasks or must accommodate changes in data can have significant costs in terms of computational resources and ...

Explore the use of computational tools, technologies, and methodologies in the process of the production of live theatrical and dance performances. Sample technologies on which we focus include ...