Int. Conf. on Applied Mathematics & Computer Science

Special Sessions

1) Title:
Real Time Machine Learning

Organizer-Chairman: Professor Saed Sayad,
Department of Computer Science, Rutgers University

Aim: Recently, there has been a strong positive trend regarding Real Time Machine Learning (RTLM). Recently, the National Science Foundation (NSF) and the Defense Advanced Research Projects Agency (DARPA) teamed up through the Real Time Machine Learning (RTML) program to explore high-performance, energy-efficient hardware and machine-learning architectures that can learn from a continuous stream of new data in real time, through opportunities for post-award collaboration between researchers supported by DARPA and NSF. The aim of this workshop is to introduce RTLM and its pros and cons.

- The definition and characteristics of Real Time Machine Learning
- Real Time Data Exploration
- Real Time Classification and Regression
- Use cases

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