Image by Manoj Bhoyar In the ever-evolving world of artificial intelligence and machine learning, where innovation is ...

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...

Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

Machine learning has become the critical enabler for addressing these challenges. Traditional ML models, including random ...

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model versioning, data pipelines, and CI/CD integration — this guide will help ...