2025 Conference (original) (raw)

About the Conference

The MLSys community recognized that many critical future challenges are at the intersection of Machine Learning and Systems. The community was created to solve these exciting problems by recognizing the needs for scaling interdisciplinary collaboration as well as the importance of working together between industry and academia. With the growing importance of holistic machine learning and systems approaches when building real-world AI systems, the MLSys conference plays an even more significant role in today’s AI landscape.

Interdisciplinary Focus: MLSys uniquely bridges the gap between machine learning and systems design. In the era of generative AI, which requires significant computational resources and innovative algorithms, this interdisciplinary approach is crucial for developing more efficient and effective AI systems.

Optimization of AI Systems: The conference discusses not just AI models but also the systems that support them. This includes topics like hardware acceleration, distributed computing, and energy-efficient designs, all of which are vital for running large-scale AI models efficiently.

Advancements in Modeling: The conference showcases the latest advancements in machine learning models with practical system considerations. With rapid developments in this field, MLSys provides a platform for researchers and practitioners to present their latest findings, contributing to the collective knowledge and progress in intelligent systems.

Industry and Academic Collaboration: MLSys is a meeting point for both industry leaders and academic researchers. This collaboration fosters the translation of academic research into practical, real-world applications in the field of machine learning and systems.

Ethical and Societal Implications: As AI systems become more prevalent, its societal and ethical implications become more significant. MLSys provides a forum for discussing these implications, ensuring that advancements in AI are aligned with ethical standards and societal needs.

Education and Training: By bringing together leading experts in the field, MLSys plays a role in education and training for the next generation of AI and systems researchers and practitioners, who will be at the forefront of developing and deploying AI technologies.

The steering committee and program committees consist of 110 leading members of the AI systems area coming from industry and academia with expertise ranging from machine learning to systems to security. The MLSys community welcomes industry participation and sponsorships; we believe the investment will pay dividends in both technology advancement and industry growth for years to come.