Key Takeaways San Francisco's data science job market is booming in July 2025, with salaries often exceeding $250,000 per ...

This paper presents the hierarchical Q-learning path planning (HQPP) architecture for solving the cooperative tracking control problem of multi-agent systems (MASs) with lumped uncertainties in an ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

The deadline is closing in, compiler errors keep flashing across your screen, and the fear of lost GPA points feels like a ...

Quantum computing will not deliver truly useful business results overnight, but the pace of progress is no longer linear; ...

Fiery volcanoes have belched up molten rock, hot ash, and gas since Earth formed billions of years ago.

This paper presents SS-ALOHA-Q, a Reinforcement Learning-based MAC protocol that builds upon slotted ALOHA by introducing slot subdivision to effectively mitigate the impact of large propagation ...