International Neuromorphic Computing Conference (INCC)
Conference
May 11-13, 2027
London, UK
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Bangalore Neuromorphic Engineering Workshop (BNEW)
Workshop
Jan 4-17, 2027
Bangalore, India
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International Conference on Rebooting Computing (ICRC)
Conference
Dec 8-10, 2026
San Diego, CA
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Spiking Neural Networks As Universal Function Approximators (SNUFA)
Workshop
Nov 4-5, 2026
Online
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International Conference on Neuromorphic Systems (ICONS)
Conference
August 4-6, 2026
Chicago, IL
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International Conference on Rebooting Computing (ICRC)
Conference
Dec 15-16, 2025
San Diego, CA
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International Conference for High Performance Computing (HPC)
Conference
Nov 17-22, 2025
St. Louis, MO
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International Conference on Neural Engineering (NER)
Conference
Nov 11-14, 2025
San Diego, CA
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Advances in Human Health through Spatial Omics and AI
Workshop
Sept 29-30, 2025
San Antonio, TX
Learn MoreInternational Conference on Neuromorphic Systems (ICONS)
Conference
July 29-31, 2025
Seattle, WA
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Neuro Inspired Computational Elements (NICE)
Conference
March 25-27, 2025
Heidelberg, Germany
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Recent Events
Summit for AI Institutes Leadership (SAIL)
The annual Summit for AI Institutes Leadership (SAIL) 2025 is set to be a pivotal event for researchers and staff from AI Institutes nationwide, fostering crucial discussions and connections among collaborators. This year, SAIL will introduce two exciting new features: the Partner Showcase and the Graduate Student Workshop, enriching the experience for attendees who will benefit from opportunities to share best practices, showcase research, and address key concerns. A highlight of the summit, presented by Tej Pandit, will be the growing need for a dedicated neuromorphic computing hub, with the introduction of the THOR neuromorphic commons project as a potential solution for advancing this cutting-edge field. The summit remains a vital platform for primary and sub-awardee site leadership to align goals and drive the future of AI research.
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Advances in Human Health through Spatial Omics and AI
The University of Texas at San Antonio (UTSA) recently hosted the impactful Advances in Human Health through Spatial Omics and AI (AHHSA 2025) workshop. This joint initiative by the MATRIX AI Consortium and the Center for Precision Medicine convened a diverse group of clinicians, AI scientists, biomedical engineers, and industry leaders to explore cutting-edge innovations in augmenting human health. The discussions focused on the future of scientific discovery in areas like personalized medicine, neurotechnology, and public health, highlighting the integration of AI. A key feature of the workshop included a presentation by Tej Pandit, who provided an introduction to the THOR neuromorphic commons project, underscoring the critical need for developing neuromorphic computing capabilities at scale to accelerate advancements in human health research.
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Neuro Inspired Computational Elements (NICE)
The highly anticipated Neuro Inspired Computational Elements (NICE) 2025 conference recently took place in Heidelberg, bringing together researchers to address the limitations of conventional computing through neuro-inspired architectures. NICE 2025 focused on the critical need to build new architectures based on the convergence of neuroscience, microelectronics, and computational systems to handle the most challenging problems. A key highlight of the conference was the work presented by Katie Schuman, who introduced the THOR neuromorphic commons project to the wider neuromorphic community, emphasizing its potential to develop innovative solutions for next-generation, brain-inspired computing.
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NSF AI Spring School
The NSF AI Spring School 2025 at the University of Texas at San Antonio (UTSA) successfully brought together students and researchers for a three-day intensive event focused on the future of AI and Machine Learning (ML) for edge systems. Hosted by the UTSA MATRIX, NSF NAIAD, ATHENA, and the UTSA Office of Research, the school showcased cutting-edge advancements in developing neuro-inspired and distributed (federated) algorithms aimed at enhancing energy efficiency and robustness in AI. Attendees had the unique opportunity to learn from top experts from institutions including Google, NSF, CMU, and Duke. A key educational feature of the school was a hands-on tutorial presented by Anurag Daram from the NUAI Lab on Spiking Neural Networks (SNNs), providing participants with practical knowledge to shape the next generation of AI at the edge.
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