The importance of machine learning has not gone unnoticed, with 64 percent of the 2015 Spark Survey respondents using Spark for advanced analytics and 44 percent creating recommendation systems.

What if people could detect cancer and other diseases with the same speed and ease as a pregnancy test or blood glucose meter? Researchers at the Carl R. Woese Institute for Genomic Biology are a step ...

David Ussery discusses using Machine Learning methods to predict the pathogenicity of a bacterial infection based on genome ...

NIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

Generative AI ventures well beyond traditional machine learning. By using multiple forms of machine learning systems, models, algorithms, and neural networks, generative AI offers a new foray into ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is ...

Machine learning is fast becoming the go-to predictive paradigm for data scientists and developers alike. Of the many tools available for tapping neural networks, Microsoft’s Azure ML Studio ...

Fabs and mask shops also use classical machine learning in the ‘big data’ analysis of all the operation data available to look for ways to improve yield and prevent downtime.” Now, some are exploring ...