Call for Research Papers

Abstract deadline: July 11, 2025, 11:59 pm AoE.
Paper submissions due: July 15, 2025, 11:59 pm AoE.
AI-ML Systems 2025 is the 5th edition of the AI-ML Systems conference targeting research at the intersection of Artificial Intelligence (AI) and Machine Learning (ML) techniques and systems engineering. Through this conference we plan to bring out and highlight the natural connections between these two fields and their application to socio-economic systems. Specifically we explore how immense strides in AI/ML techniques are made possible through computational systems research (e.g., improvements in CPU/GPU architectures, data-intensive infrastructure, and communications ), how the use of AI/ML can help in the continuous and workload-driven design space exploration of computational systems (e.g., self-tuning databases, learning compiler optimisers, and learnable network systems ), and the use of AI/ML in the design of socio-economic systems such as public healthcare, and security. The goal is to bring together these diverse communities and elicit connections between them.
The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgments section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text
- Abstract deadline: July 11, 2025, 11:59 pm AoE.
- Paper submissions due: July 15, 2025, 11:59 pm AoE.
- Author notifications: Aug 10, 2025, Aug 20, 2025, 11:59 pm AoE.
- Camera ready deadline: Aug 31, 2025, 11:59 pm AoE.
- Conference dates: Oct 08-11, 2025
- Rekha Singhal, TCS Research, USA
- Stefano Melacci, University of Siena, Italy
- Neeldhara Misra, IIT Gandhinagar, India
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.