Track 3: Artificial Intelligence (AI)/Machine Learning (ML) for Systems and Systems for AI/ML

Advanced decision-making capabilities, enabled by artificial intelligence (AI) and particularly by machine learning (ML), are increasingly built into cloud, cluster, and Internet computing infrastructure. They are also installed in many emerging applications and pipelines, raising new challenges for systems capable to support AI/ML. Topics of interest include, but are not limited to:

• Techniques, platforms, and systems to support Artificial Intelligence (AI) and Machine Learning (ML) at scales.
• AI/ML deployment at the Edge and in the Cloud (e.g., federated learning)
• AI/ML algorithms, including statistical learning, natural language processing, computer vision, data mining, multiagent systems, knowledge representation;
• Use of AI/ML to enhance performance, energy efficiency, and reliability of cluster, cloud and Internet-computing systems

Track Chairs

Omer F. Rana, University of Cardiff, UK
Chentao Wu, Shanghai Jiaotong University, China
Dong Li, University of California-Merced, USA