There are 2,833 minimal forbidden unit-distance graphs on 11 vertices. The frozen checker accepts all 448,708 candidates: 443,444 embedded and 5,264 refuted, with no unknown or conditional result. It derives the minimal list by checking every one-edge deletion. Verification research/gp-11/RESULT.md lists the 2,833 grap...
Artificial Wasteland· Zenodo (CERN European Organi...· 0 citations
There are 324 minimal forbidden unit-distance graphs on 10 vertices: 4 with 15 edges, 126 with 16, 191 with 17 and 3 with 18. Among 33,162 biconnected candidates free of the earlier forbidden list, 32,653 embed and 509 are refuted. Minimality follows from all one-edge deletions. The extension was suggested in correspon...
Artificial Wasteland· Zenodo (CERN European Organi...· 0 citations
This entry presents 4-Chlorobenzotrichloride (C7H4Cl4; CAS 5216-25-1; PubChem CID 21277) as a 3D-printable ball-and-stick model in which every atom carries its engraved element symbol (C, H, Cl), so the model can be read without a colour key. Atomic coordinates come from the PubChem-computed 3D conformer (not an experi...
MolGod.org· Zenodo (CERN European Organi...· 0 citations
<!--StartFragment--> PhDPaper4B v0.23 — Time and Adaptation on the frozen CEMT substrate Simulation code for Paper 4B, "Defensive Tempo, Estate Structure and Collapse: Cyber-Risk Propagation on a Frozen Substrate" (CEMT programme). This release is the single-file, reproducible simulator behind every table in Paper 4B....
paulguckian7· Zenodo (CERN European Organi...· 0 citations
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HEAIN-CORE-1.1 [5][6] showed that the seven core algorithms (P1–P7) of the HEAIN Core Protocol run correctly on real hardware. Promotion under Role Transformation (P6), however, was limited to one level per process lifetime. Once a node had been promoted to act for its parent, it stopped watching everything above that...
JAKKRIT BOONMA· Zenodo (CERN European Organi...· 0 citations
Context & Educational Focus: This open educational resource delivers a comprehensive, mathematically rigorous treatment of Smart Manufacturing and Industry 4.0 within modern production engineering. Formulated in alignment with the Washington Accord, EUR-ACE, and IEA global frameworks, the curriculum examines how physic...
Prep4Uni.Online· Zenodo (CERN European Organi...· 0 citations
Das Spannungsfeld zwischen den etablierten Technologien der konnektionistischen KI und ihren neuromorphen Herausforderern rückt derzeit besonders durch den riesigen Energiebedarf ersterer und die sparsame Funktionsweise letzterer immer stärker in das Rampenlicht. Der Energieverbrauch für Entwicklung und Einsatz großer...
Volker Kempe· Zenodo (CERN European Organi...· 0 citations
The rapid expansion of fifth-generation 5G wireless networks has significantly increased the attack surface available to adversaries who seek to disrupt critical communication infrastructure. Traditional centralized intrusion detection systems expose raw user data to a central server, creating unacceptable privacy risk...
Ayush ., Amarjeet Singh· International Journal of Inn...· 0 citations
Climate change, increasing food demand, and resource constraints are accelerating the transition from conventional precision agriculture toward smart, autonomous, and climate-resilient agricultural systems. Artificial intelligence (AI), foundation models, digital twins (DTs), the Internet of Things (IoT), remote sensin...
Krishan Kumar, A. Khatri, I. Thakur· Intelligent Agriculture· 0 citations
# CD-STHGN: Causally Disentangled Supply-chain Temporal Heterogeneous Graph Network A reference implementation and dataset release for green innovation driven digital transformation in Chinese A-share manufacturing supply chains, 2011-2023. [](LICENSE)[!...
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
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.
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