I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

On a bench in a Philadelphia lab, a robot the size of a microwave clicks through tiny vials, building molecules that existed only as lines of code a week earlier.

Warwick primatologists, in collaboration with the Max Planck Institute, have shown that young orangutans develop their nighttime nest-building skills via observational social learning—by closely ...

(THE CONVERSATION) When the U.S. government signs contracts with private technology companies, the fine print rarely reaches the public. Palantir Technologies, however, has attracted more and more ...

Image data visualization plays a crucial role in computer algorithm analysis and research. It can intuitively display the running process, performance, and result characteristics of algorithms, ...

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data scientists should master both supervised ...

A research team has developed a novel approach combining refined spatial competition mapping with powerful ensemble learning ...

Data Structures and Algorithms Repository Overview Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...

Population structure limits the use of genomic data for predicting phenotypes and managing genetic resources in forest trees ...