Project Overview This project explores the hardware implementation of three sorting algorithms—Selection Sort, Merge Sort, and Bitonic Sort—on an FPGA platform. The study evaluates their resource ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

When evaluating vendor solutions for generative AI, it’s important to understand the core components of the supporting ...

Alignment and sequencing errors are a major concern in molecular evolution, and this valuable study represents a welcome improvement for genome-wide scans of positive selection. This new method seems ...

A new feature selection approach that is based on the integration of a genetic algorithm and particle swarm optimization is proposed. The overall accuracy of a support vector machine classifier on ...

Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approach and gives results of ...

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