ARPA-H, part of HHS, has earmarked up to $142 million for 10 research projects building the tools, data, and infrastructure needed to tackle treatment resistance.

Designed to eliminate the friction of traditional video production, JoggAI combines cutting-edge AI with intuitive design to help users create professional-grade content in minutes. From ...

Genetic algorithms can automate data preparation, feature selection, and hyperparameter tuning in machine learning. Learn to build efficient, end-to-end ML pipelines with this step-by-step guide.

New Jersey’s storied WFMU is not just another independent radio station. It’s a rejection of algorithm-driven playlists and a lasting commitment to music as a collective experience.

In this paper, we propose a machine learning-based automated framework for algorithm selection and configuration for MPC applications. This framework aids the online implementation of MPC by selecting ...

More sustainable chemical processes require the selection of suitable molecules, which can be supported by computer-aided molecular design (CAMD). CAMD often generates and evaluates molecular ...

Automating this tuning process through machine learning is extremely challenging. Although several algorithms address parts of the tuning problem, only a few have been validated across different ...

In this paper, a novel configuration parameter tuning method based on a feature selection algorithm is proposed, and it is composed of the feature selection objective function and feature selection ...