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, ...

Quantum computing has rapidly evolved from theoretical concepts to practical devices, progressing from the NISQ era toward fault-tolerant systems. Among its most promising areas is quantum ...

The new quantum computing algorithm, called "Quantum Echoes," is the first that can be independently verified by running it on another quantum computer. When you purchase through links on our site, we ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

ABSTRACT: Recent advancements in generative AI and large language models (LLMs) have sparked new opportunities in surgical innovation. We present our prototype AI Surgical Assistant Prototype System, ...

Surface waves have proven to be valuable instruments in subsurface investigation, finding applications in diverse fields such as hydrocarbon and mineral resource exploration. The computation of ...

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 ...

The new Guidelines contain some key provisions for innovator companies active in the AI-sphere, including the clear prohibition on AI systems being named as inventors and AI-related patents ...

I hope this message finds you well. After reviewing the README, I noticed that the Knapsack Problem has not yet been implemented in C++. I would like to take on this task and contribute the ...