Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

Roese's predictions: stronger AI governance, better data management, agentic AI infrastructure, resilient AI factories, and sovereign AI strategies.

Strategic portfolio management software provider Planview today introduces new capabilities for the future of AI-powered SPM.

Mathematicians proved in the early 1990s that randomly connecting routers produces the most efficient, resilient network topology. It took AWS roughly 30 years to turn that result into production ...

Developing new molecular compounds is crucial to address pressing challenges, from drug discovery to sustainable materials. However, discovering viable new molecules is challenging due to the vastness ...

The software engineering world is currently wrestling with a fundamental paradox of the AI era: as models become more capable, the "systems problem" of managing them has become the primary bottleneck ...

Abstract: In this paper, we formulate visual tracking as random walks on graph models with nodes representing superpixels and edges denoting relationships between superpixels. We integrate two novel ...

This is the github repo for sharing the code for implementing the Graph Markov Network (GMN) proposed in [1]. The GMN is proposed to solve the traffic forecasting problems while the traffic data has ...