【概要 / Abstract (English & Japanese)】 Hyper-scale artificial intelligence (AI) compute infrastructure and advanced semiconductor manufacturing (2nm, A16 nodes and beyond) face severe physical bottlenecks: the saturation of commercial power grids and the acute fragility of globally centralized supply chains situated...
洋子 長谷部· Zenodo (CERN European Organi...· 0 citations
X-ray photoelectron spectroscopy analysis toolkit: high-throughput Voigt fitting and the analysis foundation around it. v0.2.0 adds two experimental diagnostics — how well a spectrum determines the Voigt widths, and energy-axis calibration on a Fermi edge — three runnable examples, and a set of corrections. No existing...
Satoshi Toyoda· Zenodo (CERN European Organi...· 0 citations
A companion manuscript reported a correspondence between light-nuclear structure and closure conditions on regular triangular polytopes, stating the results without disclosing the derivation. This manuscript supplies the method. We give the operation converting a subdivided triad into a tetrahedron, and show it is edge...
Paul Rodgers· Zenodo (CERN European Organi...· 0 citations
Isomorphic Collapse of the Primorial Modulus: Bypassing Arithmetic in Arbitrary-Precision Cryptanalysis: The 10-GHz Topological Routing Engine for Overcoming the Von Neumann Bottleneck in Large-Scale Integer Analysis Abstract Modern computational mathematics remains bounded by a fundamental material compromise: as the...
Charles Tibedo· Zenodo (CERN European Organi...· 0 citations
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This repository contains the software and reproducibility materials associated with the study “Factorized Coordinated Double Deep Q-Learning for Multi-User Computation Offloading and Resource Allocation in Mobile Edge Computing.” The proposed Factorized Coordinated Double Deep Q-Network (FC-DDQN) separates the binary l...
Youssef Oukissou, Moulay Amzil, Mohamed Amine Meddaoui et al.· Zenodo (CERN European Organi...· 0 citations
What This IsThe NUMEN Autonomy Integrity Suite is a complete formal verification framework that establishesa mathematically certified chain of trust for measuring behavioral safety in autonomous AI sys‐tems. It consists of five integrated layers:autonomy_eval.py (933 lines) — A behavioral health measurement tool that e...
Daniel Dragolich· Zenodo (CERN European Organi...· 0 citations
This record provides digital elevation models (DEMs) from post-event optical stereo satellite images following the 2026-08-26 ice-rock avalanche on the north flank of Langtang Lirung, Rasuwa District, Nepal. The DEMs were produced from Vantor WorldView-2, WorldView-3 and WorldView Legion 2/3 stereo images acquired 2026...
David Shean, Shashank Bhushan· Zenodo (CERN European Organi...· 0 citations
Jaeger's Petersen coloring conjecture (1988), which asserted that every bridgeless cubic graph admits an edge map onto the Petersen graph sending every vertex star onto a vertex star, was refuted in August 2026: Putman exhibited two nonisomorphic 112-vertex counterexamples with SAT-solver certificates, Jooken gave a hu...
Felipe Santibañez-Leal· Zenodo (CERN European Organi...· 2 citations
For four decades, deep artificial neural networks have relied on continuous vector spaces, dense floating-point General Matrix Multiplications (GEMM: hl+1 = σ(Wlhl + bl)), and gradient-based backpropagation. While effective in data centers, this paradigm incurs severe thermodynamic, memory bandwidth, and numerical stab...
A. Emre Cetin· Zenodo (CERN European Organi...· 0 citations
PRE-REGISTRATION — The Letter Tax: how much shorter is a letter-free reasoning trace than length-optimized language? Registered 2026-09-19, before any GPU-hour. Code, data, and protocol frozen at commit d207c263df938f6003e51ff3da90f13367b40d99 ("v8 pre-registration freeze (r4)") in https://github.com/ZechenWei7/letter-...
Modern autonomous agents predominantly manage state and memory through static vector embeddings and flat nearest-neighbor (k-NN) retrieval mechanisms. While effective for isolated semantic lookups, this mechanical paradigm suffers from severe cognitive pathologies in long-horizon reasoning tasks: lack of temporal recen...
Hai Nguyen· Zenodo (CERN European Organi...· 0 citations
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
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