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Benchmarks in Leipzig
Mathematics > History and Overview [Submitted on 4 Jun 2026] Title:Benchmarks in Leipzig View PDF HTML (experimental)Abstract:Between April 1 and May 15, 2026, a group of 49 mathematicians compiled a dataset of research-level mathematics questions with known answers. Most of the work was done during the 3-day workshop *Benchmarks in Leipzig* with 35 participants at the Max Planck Institute for Mathematics in the Sciences in Leipzig, Germany.
Benchmarks in Leipzig
arXiv:2606.05818v1 Announce Type: cross Abstract: Between April 1 and May 15, 2026, a group of 49 mathematicians compiled a dataset of research-level mathematics questions with known answers. Most of the work was done during the 3-day workshop *Benchmarks in Leipzig* with 35 participants at the Max Planck Institute for Mathematics in the Sciences in Leipzig, Germany. We present the resulting collection of 100 questions.
Daily briefing: Trial to ‘de-age’ cells treats first person
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Hidden geometry explains why kernel methods separate complex data so well
Hidden geometry explains why kernel methods separate complex data so well Lisa Lock Scientific Editor Robert Egan Associate Editor Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are often high-dimensional, complex, and differences between them can take countless subtle forms. "Simply put, we don't know what differences to look for, the...
Water-wave tweezers steer tiny 'surfers' without touching them
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Leiden Declaration on Artificial Intelligence and Mathematics
Declaration text Leiden Declaration on Artificial Intelligence and Mathematics Preamble Technological developments have repeatedly transformed the practice of mathematics. Recent artificial intelligence technologies, including symbolic and neural methods for the generation and formalization of mathematics, may already have initiated a significant chapter in this long history. Among researchers, artificial intelligence has produced a wide range of reactions: enthusiasm for its potential to...
Dozens of mathematicians sign declaration against AI; say maths should remain a human endeavour
Dozens of mathematicians signed a declaration Tuesday calling for the discipline to resist beating the drum for artificial intelligence developers. The researchers warn that AI is putting fundamental values of the discipline under threat. The rise of AI is forcing mathematics to rethink what makes their field reliable and valuable.
Bounded by Risk, Not Capability: Quantifying AI Occupational Substitution Rates via a Tech-Risk Dual-Factor Model
Announce Type: replace Abstract: The deployment of Large Language Models (LLMs) has ignited concerns about technological unemployment. Existing task-based evaluations predominantly measure theoretical "exposure" to AI capabilities, ignoring critical frictions of real-world commercial adoption: liability, compliance, and physical safety. We argue occupations are not eradicated instantaneously, but gradually encroached upon via atomic actions.
Industry spurs novel research but may hurt ‘blue skies’ science: IIM study
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Embryonic tissues can behave like fluids or solids to reshape cell fate signals
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