Write a Blog >>
Wed 11 Nov 2020 17:33 - 17:34 at Virtual room 2 - ML Model Building

Moving from experiments to industrial level AI software development requires a shift from understanding AI/ ML model attributes as a standalone experiment to know-how integrating and operating AI models in a large-scale software system. It is a growing demand for adopting state-of-the-art software engineering paradigms into AI development, so that the development efforts can be aligned with business strategies in a lean and fast-paced manner. We describe AI development as an “unknown unknown” problem where both business needs and AI models evolve over time. We describe a holistic view of an iterative, continuous approach to develop industrial AI software basing on business goals, requirements and Minimum Viable Products. From this, five areas of challenges are presented with the focus on experimentation. In the end, we propose a research agenda with seven questions for future studies.

Wed 11 Nov

Displayed time zone: (UTC) Coordinated Universal Time change

17:30 - 18:00
17:30
2m
Talk
AMS: Generating AutoML Search Spaces from Weak Specifications
Research Papers
Jose Cambronero Massachusetts Institute of Technology, USA, Jürgen Cito TU Wien and MIT, Martin C. Rinard Massachusetts Institute of Technology, USA
DOI
17:33
1m
Talk
Continuous Experimentation on Artificial Intelligence Software: A Research Agenda
Visions and Reflections
Anh Nguyen-Duc University of South Eastern Norway, Pekka Abrahamsson University of Jyväskylä
DOI
17:35
1m
Talk
DENAS: Automated Rule Generation by Knowledge Extraction from Neural Networks
Research Papers
SiminChen University of Texas at Dallas, USA, Soroush Bateni University of Texas at Dallas, USA, Sampath Grandhi University of Texas at Dallas, USA, Xiaodi Li University of Texas at Dallas, USA, Cong Liu University of Texas at Dallas, USA, Wei Yang University of Texas at Dallas, USA
DOI
17:37
1m
Talk
On Decomposing a Deep Neural Network into ModulesACM SIGSOFT Distinguished Paper Award
Research Papers
Rangeet Pan Iowa State University, USA, Hridesh Rajan Iowa State University, USA
DOI Media Attached
17:39
1m
Talk
Synthesizing Correct Code for Machine Learning Programs
Student Research Competition
Joshua Gisi North Dakota State University, USA
DOI
17:41
19m
Talk
Conversations on ML Model Building
Paper Presentations
Jose Cambronero Massachusetts Institute of Technology, USA, Rangeet Pan Iowa State University, USA, Simin Chen , Wei Yang University of Texas at Dallas, USA, M: John-Paul Ore North Carolina State University