In physics instruction, equations are often treated primarily as tools for obtaining numerical results. Yet physicists also use them to describe dependencies, explain why those dependencies hold, predict what happens in new situations, test expressions against physical knowledge, and explore consequences that are not i...
J. Hofmann, Pascal Klein, Andreas Müller et al.· 0 citations
This work argues that the fix is to change the generation target: instead of asking an LLM to emit dialect-specific SQL, it has it emit a dialect-agnostic relational algebra query plan, which a deterministic compiler then renders into SQL for any supported backend.
Corentin Royer, Robin Oester, Yotam Perlitz et al.· 0 citations
This work presents DDRop, a new primitive that exploits the absence of cryptographic freshness to break the integrity of Intel TDX, Scalable SGX, and AMD SEV-SNP and demonstrates end-to-end attacks on an up-to-date TDX platform.
ETHZurich, Zúrich, Switzerland et al.· 0 citations
An externally anchored leading-order effective field linking empirical dynamics, an interpretable mechanism and neural computation is identified linking empirical dynamics, an interpretable mechanism and neural computation in closed-loop human-AI systems.
Min-Lin Wu, Xu Fang, Yi-Cheng Zhang et al.· 0 citations
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