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Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments

Neural Information Processing Systems

On the conceptual front, we identify connections between these three problems and present a framework that brings all these challenges under a common umbrella. We then present a (randomized) algorithm for reviewer assignment that can optimally solve the reviewer-assignment problem under any given constraints on the probability of assignment for any reviewer-paper pair.




Towards Biologically Plausible Convolutional Networks

Neural Information Processing Systems

Asour (see Section Ourcode implementation). Convolutional Neural Networksasa Modelofthe Visual System: Past, Present, and Future.Journalof Cognitive Neuroscience, pages 1-15, 02 2020.



AI is coming to Olympic judging: what makes it a game changer?

AIHub

AI is coming to Olympic judging: what makes it a game changer? As the International Olympic Committee (IOC) embraces AI-assisted judging, this technology promises greater consistency and improved transparency. Yet research suggests that trust, legitimacy, and cultural values may matter just as much as technical accuracy. In 2024, the IOC unveiled its Olympic AI Agenda, positioning artificial intelligence as a central pillar of future Olympic Games. This vision was reinforced at the very first Olympic AI Forum, held in November 2025, where athletes, federations, technology partners, and policymakers discussed how AI could support judging, athlete preparation, and the fan experience.