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.

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior performance compared to conventional non-machine learning approaches ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

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 ...

WASHINGTON — In this video, Kinjal Vasavada, MD, discusses a novel machine learning algorithm intended to predict surgical outcomes in the Multicenter ACL Revision Study cohort.“This presents ...

A machine-learning algorithm called CEBRA was developed to learn how high-dimensional data can be embedded in a lower-dimensional space (called a latent space, in latent dimensions), either using ...

To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the algorithm to recognize those health outcomes. That’s where ...