Two computer scientists found — in the unlikeliest of places — just the idea they needed to make a big leap in graph theory. This past October, as Jacob Holm and Eva Rotenberg were thumbing through a ...

In today's data-driven era, the speed and accuracy of information retrieval have become increasingly important. Since I first proposed the EFANNA algorithm during my doctoral studies in 2016, I ...

Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of robotic ... As described in a research paper in Science Robotics, RoboBallet ...

It hadn’t occurred to me in quite these terms before, but Google has an algorithm for its Knowledge Graph. I have been tracking the Knowledge Graph API for five years. The resultScores have always ...

University of Massachusetts Amherst researchers and scientists at Embr Labs, a Boston-based start-up, have developed an ...