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 ...

This article explores how AI is transforming precision medicine by streamlining drug discovery, improving patient ...

MicroAlgo's development of quantum machine learning technology follows a closed-loop process of "problem modeling - quantum circuit design - experimental validation - optimization iteration." For ...

Genetic algorithms in search, optimization, and machine learning by Goldberg, David E. (David Edward), 1953- Publication date 1989 Topics Genetic algorithms, Machine learning Publisher Reading, Mass. ...

Traffic control optimization is a challenging task for various traffic centers around the world and the majority of existing approaches focus only on developing adaptive methods for normal (recurrent) ...

We present an artificial intelligence-guided approach to design durable and chemically recyclable ring-opening polymerization (ROP) class polymers. This approach employs a genetic algorithm (GA) that ...

1. Gradient Descent Gradient Descent is an algorithm for minimizing loss functions that reduce the objective function by updating model parameters iteratively. The approach goes in the direction ...