Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

Both generative AI and machine learning use algorithms to address complex challenges, but generative AI uses more sophisticated modeling and more advanced algorithms to add a creative element ...

Researchers have used a machine learning model to identify three compounds that could combat aging. They say their approach could be an effective way of identifying new drugs, especially for ...

A machine-learning model developed in this study was able to predict 24-hour peaks for intraocular pressure (IOP).

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

New algorithm boosts multitasking in quantum machine learning Date: December 10, 2024 Source: Tohoku University Summary: When a quantum computer processes data, it must translate it into ...

Recently, Shaila Niazi, a third-year doctoral student in Çamsari’s lab, achieved a significant breakthrough in that effort, becoming the first to use probabilistic hardware to train a deep generative ...