Fast Machine Learning for Science - Remote

The four-day event "Fast Machine Learning for Science” will be hosted virtually by Southern Methodist University from November 30 to December 3. The first three days (Nov 30 - Dec 2) will be workshop-style with invited and contributed talks. The last day will be dedicated to technical demonstrations and coding tutorials.

As advances in experimental methods create growing datasets and higher resolution and more complex measurements, machine learning (ML) is rapidly becoming the major tool to analyze complex datasets over many different disciplines. Following the rapid rise of ML through deep learning algorithms, the investigation of processing technologies and strategies to accelerate deep learning and inference is well underway. We envision this will enable a revolution in experimental design and data processing as a part of the scientific method to greatly accelerate discovery.

This workshop is aimed at current and emerging methods and scientific applications for deep learning and inference acceleration, including novel methods of efficient ML algorithm design, ultrafast on-detector inference and real-time systems, acceleration as-a-service, hardware platforms, coprocessor technologies, distributed learning, and hyper-parameter optimization.