Last week, IBM trumpeted its contributions to a rather unusual paper: the production of a molecule with a half-Möbius topology, assisted by an algorithm run in part on a quantum computer. There was, ...

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

Abstract: Fresnel integrals are fundamental to the solution of many diffraction problems, but to estimate wedge diffraction with good accuracy, the algorithm used to approximate the Fresnel integral ...

This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Annie Minoff: A few years ago, Derek Mobley was working in IT. He loved his job ...

Background: Assessing catheter stability during ablation procedures is crucial. The current stability algorithm relies on end-expiration reference frame (Gated), requiring a full respiratory cycle ...

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...

Panelists discuss how treatment goals for intermediate-risk myelofibrosis patients focus on achieving meaningful clinical outcomes including relieving symptoms, preventing worsening of anemia, ...

The emergence of using Machine Learning Techniques in software testing started in the 2000s with the rise of Model-Based Testing and early bug prediction models trained on historical defect data. It ...