The backhaul profit maximization problem (BPMP), which is known to be NP-hard, requires simultaneously solving two problems: (1)
determining how to route an empty delivery vehicle back from its current location to its depot by a scheduled arrival time, and (2) selecting
a profit-maximizing subset of spot-market deliver...
Lam Tran, Daniel Ryan, E. Olinick et al.· IISE Annual Conference &...· 0 citations
The rapid advancement of artificial intelligence edge computing, and autonomous systems is transforming the nature of modern warfare. Traditional defense operations, which relied heavily on centralized command structures and human decision-making, are increasingly being augmented by intelligent systems capable of sensi...
Amit Biswas, Neha N. Chaubey, Om Nirbhaykumar Chaubey· Advances in computational in...· 0 citations
Context. Modern distributed computing and cyber-physical systems, such as UAV swarms and IoT networks, are shifting from centralized control to decentralized real-time collective decision-making. These systems often operate under conditions of limited bandwidth, dynamic topology, and the presence of unreliable or malic...
A. Volokyta, M. Melenchukov· Radio Electronics, Computer...· 0 citations
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PSL's invariant that every meaning field is always null has so far been applied within a single module at a time. This report generalizes it into an explicit architectural pattern -- a meaning-free core that is never modified, paired with a separable overlay (for machine-facing derived signals) or skin (for human-facin...
TOYOHIRO ARIMOTO, 5 Sonnet· Zenodo (CERN European Organi...· 0 citations
Preregistered protocol, version 1.4, for sprint 4 of seldon-lab, the research workflow of the Computational Macrohistory (CMH) programme at the Foundations Institute of Computational Social Science (FICSS). Question. Among non-democracies (V-Dem polyarchy below 0.5), does a model with slow covariates forecast crises be...
Galen Fontaise· Zenodo (CERN European Organi...· 0 citations
A state has two indicators. Compliance is decided by the posterior mean of the first, while a verifier reads each disclosed posterior through a per-coordinate spectral statistic of both marginals — a lower Expected Shortfall or a lower quantile of each indicator — and the sender minimises the expected read subject to a...
Mikio Hanaeda· Zenodo (CERN European Organi...· 0 citations
An R package for statistics formed from a difference, ratio or residual of two quantities that share a measured component. Four such constructions are covered: a divergence measured against a shared reference arm, a trans term obtained by subtracting a cis term, a count of significant features read as an ordering of ef...
Rui Chen· Zenodo (CERN European Organi...· 0 citations
Measured-data release: less biased tomography fits, error bars that hold for non-Gaussian detection noise, an exact Voigt width, moments of the trajectory solver at the requested times, and input checks where bad inputs used to give silent nan or unphysical numbers. Added estimate_squeezing(..., shot_noise="empirical")...
Tanvir M. Mahim, M. Mosaddequr Rahman, Abu S. M. Mohsin· Zenodo (CERN European Organi...· 0 citations
v1.1 correction notice. This version corrects the identification of κ as a Stokes multiplier, withdraws the conditional transcendence theorem (Theorem 4) that the title refers to, and corrects four smaller statements, after an independent re-audit that recomputed the Stokes jump by two routes. The paper file, the title...
Papanokechi· Zenodo (CERN European Organi...· 0 citations
Papers V and XV–XIX establish the static, topological content of the QH=3 quark/baryon sector — the trefoil T(2,3), the binary tetrahedral group 2T, the WZW model (E6)1 ⊃ SU(3)1×3, and a saddle-less (algebraic) quark mass. Paper XX assembles the sector's dynamical content and, in doing so, sharpens what the framework i...
Frederick Manfredi· Zenodo (CERN European Organi...· 2 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026