aiqbench takeMachine Learning

Xiaonan Zhang's NSF CAREER Award highlights a critical shift toward edge-based collaborative AI that reduces latency and vulnerability by leveraging wireless networks for distributed computing. This research is significant because it enables resilient intelligent decision-making in resource-constrained environments like emergency response, moving beyond reliance on centralized cloud infrastructure.

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Xiaonan Zhang earns NSF’s top award for early career faculty

Quantum ZeitgeistAugust 14, 20263 min read

Assistant Professor Xiaonan Zhang, a Florida State University computer scientist, has received a 2026 NSF CAREER Award to advance collaborative AI systems, with five years of funding.

Assistant Professor Xiaonan Zhang of Florida State University is a recipient of a 2026 National Science Foundation CAREER Award, the agency’s most significant honor for early career faculty. The award provides five years of funding to support Zhang’s research into how wireless networks can enable devices to collaborate on advanced artificial intelligence…

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