Existing distributed computing frameworks are failing to keep a lid on the growing computational, memory and even energy costs resulting from the constantly expanding volume Big Data for anything ...

As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to ...

Faculty and students conduct research on fundamental and applied topics related to all aspects of data science, including statistical analytics, data management systems, high performance and ...

The course enables students to learn about the principles and gain hands-on experience in working with the state of the art computing technologies such as Apache Spark, a general engine for ...

Is distributed computing dying, or just fading into the background? There seems to be much less excitement about distributed computing these days.

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

She also progressed by taking ownership of distributed system architecture and feature delivery under high-impact conditions. Plus, she collaborated cross-functionally with data security, product ...

Artificial intelligence encompasses the study of algorithms and architectures that enable effective decision making in complex environments. Researchers in this area include faculty, undergraduate and ...

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen.

The course enables students to learn about the principles and gain hands-on experience in working with the state of the art computing technologies such as Apache Spark, a general engine for ...