Abstract: DNA fragment assembly is one the most important aspects of bioinformatics. A new parallelizing optimizing method based on KMP algorithm is proposed in this paper with the aim of dealing with ...

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, ...

The Knuth-Morris-Pratt (KMP) algorithm is a linear time pattern matching algorithm that efficiently searches for occurrences of a pattern in a text. It pre-processes the pattern to determine a partial ...

Google has demonstrated a 13,000 times speedup for the Quantum Echoes algorithm using its Willow quantum chip. The feat is repeatable, according to the company, and it paves the way toward real-world ...

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 ...

This study investigates the applications and adaptations of the Grover's search algorithm, an algorithm that uses quantum technologies to provide quadratic speedup while searching unsorted data.

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, ...

The COordinate Rotation DIgital Computer (CORDIC) algorithm is a versatile iterative method that computes a wide range of functions – including trigonometric, hyperbolic, logarithmic and exponential – ...

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 ...