Today, genomics is saving countless lives and even entire species, thanks in large part to a commitment to collaborative and ...

Andes AutoOpTune™ is available as a separately licensable plugin of AndeSight™ v5.4 and supports all Andes RISC-V processors. Via simple option tuning and recompilation, developers can gain extra ...

This paper presents the application of a genetic algorithm (GA) and a support vector machine (SVM) to the recognition of blood cells based on the image of the bone marrow aspirate.

While AI-driven approaches tout increased speed and lower costs, commercial interests compromise scientific collaboration.

Scientists at UCLA and the University of Toronto have developed an advanced computational tool, called moPepGen, that helps identify previously invisible genetic mutations in proteins, unlocking new ...

Results: The algorithm improvement was obtained after analyzing the operation process and structuring of the traditional genetic algorithm; the mathematical model application revealed improvement in ...

Unlike other models that use memory-intensive applications like gradient descent to train their neural networks, [Jean Michel Sellier] is using a genetic algorithm to work within the confines of ...

Initially, the algorithm employs Iterative Mapping to generate an initial sparrow and eagle population, enhancing the diversity of the population during the global search phase. Subsequently, an ...

Genetic algorithms are problem-solving methods that mimic the process of natural selection and can be applied to predicting the movements of security prices.

Genetic-algorithm-pid-controller-tuner is an example of using a genetic algorithm to tune a PID controller. A PID controller is any controller that uses a combination of integral, proportional, and ...

In the realms of science and engineering, genetic algorithms have established themselves as versatile algorithms, capable of tackling a diverse range of practical problems and serving as computational ...