Overview
The BayLearn Symposium 2025 is set to take place on October 16, 2025, at Santa Clara University. This annual event serves as a platform for machine learning researchers and practitioners from the San Francisco Bay Area to engage in discussions and share insights. The organizers have announced an extension for abstract submissions, now due by August 5, 2025, allowing more contributors to participate in this important gathering.
Background & Relevance
The BayLearn Symposium is a significant event in the machine learning calendar, fostering collaboration and knowledge exchange among academics and industry professionals. It emphasizes the importance of community in advancing research and innovation in the field of AI. The symposium not only showcases cutting-edge research but also encourages networking and collaboration among participants, making it a vital event for anyone involved in machine learning.
Key Details
- Event Date: October 16, 2025
- Location: Santa Clara University
- Submission Deadline: August 5, 2025, at 11:59 PM PDT
- Acceptance Notifications: September 12, 2025
- Submission Format: 2-page PDF (NeurIPS 2023 style) + 1 extra page for references/acknowledgments
- Submission Link: baylearn.org/submissions
- Past Examples: baylearn.org/previous
- Mailing List Subscription: Sign up here
Eligibility & Participation
The symposium invites contributions from a wide range of participants, including researchers, practitioners, and students in the field of machine learning. It is an excellent opportunity for those looking to present their work, whether it be published research, preliminary findings, or innovative ideas.
Submission or Application Guidelines
- Prepare your abstract in the specified format (2-page PDF plus 1 page for references).
- Submit your abstract through the provided link before the deadline.
- Wait for acceptance notifications, ensuring at least one author can attend in person.
More Information
The BayLearn Symposium plays a crucial role in the AI/ML community by providing a venue for sharing diverse research topics and fostering discussions on emerging trends. The event’s focus on in-person participation enhances the collaborative spirit, allowing for deeper engagement among attendees.
Conclusion
The extended deadline for abstract submissions to BayLearn 2025 presents a valuable opportunity for researchers and practitioners alike. We encourage interested individuals to prepare their submissions and participate in this vibrant community event. Explore the possibilities and contribute to the future of machine learning at BayLearn 2025.
Category: CFP & Deadlines
Tags: machine learning, baylearn, symposium, abstract submission, neural networks, data science, AI research, Santa Clara University, UC Santa Cruz, academic conference, research collaboration, community building
