In drug development, accurately predicting molecular properties is key to efficiently screening candidate drugs. Graph neural networks study drug molecules by treating atoms as "dots" and chemical ...

“We’re introducing a major technological advantage when it comes to solving the scalability problem,” said graduate student ...

Ever wondered how computers work, or what the core concepts of computer science are? In this video, we’ll cover the ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

An AI-powered tool from Carnegie Mellon University and collaborators is helping uncover genetic clues to rare diseases, ...

The University of Washington's Allen School is rethinking how to train the next generation of software engineers in an AI-dominated job market.

A research team led by SUTD proposes a quantum-enhanced framework for processing complex topological signals that could one ...

Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from exper ...

The analyst firm identifies data collection, customer profile unification, integrations and segmentation as among the key features of a CDP ...

Is AI reasoning an oxymoron? OpenAI recently raised $40 billion with a post- money valuation of $300 billion. CEO Sam Altman ...