Apply for the ARNI and Neuromatch NeuroAI Course by March 30

This advanced course explores key system features that impact generalization, including task structure, microcircuitry, macrocircuitry or architecture, learning rules, and data streams. 

Join a global community of experts and peers, enhance your problem-solving abilities, and build a supportive network that champions accessibility to quality science education for everyone! Qualified students and TAs are encouraged to apply.

Learn more and apply now.

No-Cost Access to Advanced Computing Resources: Attend March 28 Zoom for details
March 24, 2025
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April 11 Forum: “AI for Social Impact: Building Meaningful Careers and Futures”
March 21, 2025
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April 15–16 Symposium: “AI Scientists? What Would It Take?”
March 21, 2025
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About AIVO

The AI Institutes Virtual Organization (AIVO) serves as a nexus for the 27 AI Institutes.

Leading agencies NSF and USDA-NIFA, together with other partners, have funded 27 AI Institutes, via the AI Institutes program that are carrying out a broad spectrum of research of critical importance to US competitiveness, food security, public safety and education, ethics, and myriad other targets. The Institutes also work to engage the public through various outreach and educational programs. This work can be found in the research from each participant and was recently summarized in this special issue of AI Magazine (PDF).

Map of Primary AI Institute Awardees across the Unites States: Dynamics AI and AgAID in Washington. AIFS, ACTION, and TILOS in California. iSAT in Colorado. AI-CLIMATE in Minnesota. AIIRA in Iowa. AI2ES in Oklahoma. IFML and NSF-Simons CosmicAI in Texas. INVITE, MMLI, NSF-Simons SkAI, and AIFARMS in Illinois. AI-EDGE, and ICICLE in Ohio. AI-ALOE, AI4OPT, and AI CARING in Georgia. AI-SDM in Pennsylvania. AI4ExceptionalEd and ARNI in New York. IAIFI in Massachusetts. TRAILS in Maryland, Athena, and Engage AI in North Carolina.
Map of the United States with primary awardees of AIVO
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This material is based upon work supported by the National Science Foundation under grants 2231251 and 2332864 and a Google.org grant. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation or Google.org.

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