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: Most existing random access schemes for machine-type communications (MTC) simply adopt a uniform preamble selection distribution, irrespective of the underlying device activity distributions ...

In this paper, we propose a multistrategy improved Hunger Games Search (MHGS) algorithm to address several inherent limitations of the original HGS, including imbalanced exploration and exploitation, ...

In recent years, we’ve witnessed AI become a trans-formative force across industries. However, with this incredible potential comes significant responsibility. One incident that stands out in ...

The rapid progress in fields such as data mining and machine learning, as well as the explosive growth of sports big data, have posed new challenges to the research of sports big data. Most of the ...

Abstract: This paper focuses on the covariance-based activity detection problem in a multi-cell massive multiple-input multiple-output (MIMO) system. In this system, active devices transmit their ...

Download PDF Join the Discussion View in the ACM Digital Library The maximum flow problem and its generalization, the minimum-cost flow problem, are classic combinatorial graph problems that find ...

Finding bipartite matchings is one of the oldest and most well-studied problems in computer science. This problem comes up in many guises, such as when matching donors to recipients for organ ...

The digital lending market size was valued at $10.7 billion in 2021 and is predicted to reach $20.5 billion by 2026. The growth in digitization, the demand for better user experiences, and the ...

From Thanksgiving dinner conversations to pop culture discourse, it’s easy to feel like individuals of different political ideologies are occupying completely separate worlds, especially online.