Visible to the public Programming Uncertain <T>hings

Innovation flourishes with good abstractions. For instance, codification of the IEEE Floating Point standard in 1985 was critical to the subsequent success of scientific computing. Programming languages currently lack appropriate abstractions for uncertain data. Applications already use estimates from sensors, machine learning, big data, humans, and approximate algorithms, but most programming languages do not help developers address correctness, programmability, and optimization problems due to estimates.


Visible to the public RTSS@Work 2013: Open Demo Session of Real-Time Systems

Call for Demos -- RTSS@Work2013: Open Demo Session of Real-Time Systems

RTSS@Work is the open demo session organized as a part of the IEEE Real-Time Systems Symposium, the premier conference in the area of Real-Time Systems. The goal of RTSS@Work is to provide a platform for researchers to present prototypes, tools, simulators, and systems, which extend the state-of-the-art in Real-Time Technologies and Techniques.