DevOps and MLOps have similar automation, versioning, and deployment goals, but they rely on separate tools and processes.

Ferguson's expertise lies in using machine learning models to detect anomalies ... of normal and pre-fault cavity signals, preprocessing the data, and training a model to distinguish between ...

The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’s the lack of any data at ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

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 ...

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...

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 ...

In collaboration with Chicago Booth, the Master’s Program in Computer Science (MPCS) offers a distinctive joint MBA/MPCS ...