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Cornell University

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Headlines · 2

  1. arXiv caps submissions at two per month as AI paper flood strains moderators

    arXiv began enforcing a submission rate limit on October 1, 2026, allowing each submitter at most two papers per calendar month while keeping the existing cap of three active submissions at any time; the rule covers all categories, counts only the person submitting, and rejected papers still consume a slot unless deleted before publication. arXiv calls it a temporary measure: September 2026 brought 40,363 submissions, up from 20,569 two years earlier and 9,869 in September 2016, with cs.AI submissions growing more than sixfold in two years and generating nearly 9,000 support tickets. Editorial Advisory Council chair Thomas G. Dietterich said a small share of authors submit many low-quality, thin or AI-written papers, consuming a disproportionate share of volunteer moderators' time and delaying others by days or weeks; arXiv left Cornell University on July 1, 2026 to become an independent nonprofit and received $17.2 million in pledges in late September, partly to handle AI-generated content.

    The Decoder · 🔥 0
  2. MIT's Delimitrou applies ML to curb data centers' energy drain

    Christina Delimitrou, a newly tenured associate professor in MIT's Department of Electrical Engineering and Computer Science and a member of CSAIL, and her group apply machine learning to resource management in large-scale data centers, redesigning cloud systems and server architectures so operators can squeeze more computing power out of existing hardware. She says many large computing systems ran at only about 15 percent utilization, with considerable bloat especially on the software side, and that removing that bloat without hurting performance would reduce the need to build new data centers. The group has also built Seer, which uses deep learning to anticipate and prevent web application failures, and Ditto, which mimics a proprietary application's structure and performance so academic teams can study commercial systems they cannot access.

    MIT News · AI · 🔥 0

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