Just a few years ago, many researchers in quantum computing thought it would take several decades to develop machines that ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

AI is searching particle colliders for the unexpected ...

AI reveals where risk is building—but people change what happens next. Join us to translate AI signals into human-centered prevention: understand the drivers, redesign ...

Now they’re being clogged with AI slop. Scientific publishing has always had its plumbing problems. Even before ChatGPT, ...

Due to their error-prone hardware, quantum computers have not yet found practical use. One promising solution is quantum error correction: special methods are used to find and correct errors in the ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based hybrids, revealing that hybrids give best-in-class routes ...

Abstract: Conventional soft clustering algorithms perform well on linearly distributed features, but their performance degrades on nonlinearly distributed features in high-dimensional space. In this ...

Abstract: The use of gait analysis techniques to identify health conditions has increased significantly in recent years. Among the many technologies available, inertial sensor-based solutions are one ...