In conventional neuroscience, the visual organ—the eyeball—has been treated as a “passive sensor that converts external photon information into electrical signals at the retina and transmits them to the cerebral visual cortex.” However, within the framework of the in vivo quantum processing unit (Bio-QPU) theory, the c...
kotoan.gg· Zenodo (CERN European Organi...· 0 citations
VERSION 3 (2026-09-15). Adds the natural-units form of the scale, a_0 = Lambda_DE^2/(2 M_Pl) with rho_DE = Lambda_DE^4 (Lambda_DE = 2.24 meV) and M_Pl = G^(-1/2), stated as Milgrom's a_0-Lambda coincidence with the coefficient fixed at one half, a notation and not a derivation; and, in Section 8, the audit (lane L260)...
Carl P. Zimmerman· Zenodo (CERN European Organi...· 0 citations
MATLAB analysis package accompanying the article "Extreme Bow Shock Motions and Magnetopause Compression During the 20 April 2002 Storm: Predictability Limits at an ICME Leading Edge" (T. Y. Alrefay, submitted to Earth and Space Science). The package downloads all required spacecraft data from public archives and repro...
Thamer Alrefay· Zenodo (CERN European Organi...· 0 citations
Supporting data for the article “Reactive aqueous NIPS of a Jatropha-oil-derived NCO-terminated precursor with polyethersulfone: reaction–demixing coupling, urethane–urea network formation and Cu(II) uptake at ionisable acidic sites” (Journal of Membrane Science). The record holds the structured numerical records under...
Self-contained lp/ package for the paper "Unmasking ecosystem vulnerability to compound hot-dry shocks via cross-scale frequency dynamics". Intended as a Zenodo/GitHub upload unit: after unpacking, run analyses from the lp/ root without hard-coded machine paths. Figure naming convention (updated 2026-09-14). All Suppor...
Wei Pan, Li Dan, Kai Li et al.· Zenodo (CERN European Organi...· 0 citations
The failure modes of artificial intelligence systems deployed at the edge are not, at their root, failures of model quality, training data adequacy, or algorithmic design. They are failures of architectural composition: the failure to design for the constraints that edge environments impose as boundary conditions rathe...
Justin H. Kuiper· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence deployments at the enterprise edge face a problem that centralized AI architectures are structurally unequipped to solve. Current systems are built on four external dependencies: persistent network connectivity, centralized compute, ephemeral context, and continuous human orchestration through a...
For a twisted torus knot K(p,q;r,s) with gcd(p,q) = 1 and 2 ≤ r < p we determine the leading coefficient of the Alexander polynomial Δ exactly. Writing Δ up to a unit as Δ̃(u) = Σ_{m=0}^{r−1} γ_m(t) u^m with u = t^{rs}, we prove a multiset law expressing each γ_m as a sum of p monomials with all coefficients +1, a clos...
With the rapid growth of global urbanization and changing consumption patterns, the quantity and diversity of recyclable waste have increased significantly. Conventional waste sorting methods, which rely heavily on manual labor, often suffer from low operational efficiency, high labor costs, and inconsistent classifica...
Ping-Cheng Chen, Chung‐Long Pan· International Journal of Res...· 0 citations
Abstract The safety and durability of concrete gravity dams play an important role in providing the necessary resilience of water infrastructure systems. In order to provide reliable service of structure health monitoring (SHM) without and disruptions, we present a real‐time multi‐modal SHM system based on the applicat...
Aajid Khan, Satanand Mishra, Shivani Pandey et al.· Structural Concrete· 0 citations
Currently, ultrasonography (US) is widely used in a broad range of animals as an efficient diagnostic tool in veterinary practice. It exhibited superiority to radiography in visualizing the internal organs clearly and detecting diverse affections. This enabled precise assessment of the anatomy and function of various b...
Hussein M. El‐Husseiny, Khan Sharun, Ryou Tanaka· Frontiers in Veterinary Scie...· 0 citations
Low-dose computed tomography (CT) has been increasingly adopted to minimize radiation exposure. However, it often introduces excessive image noise and structural degradation, thereby compromising diagnostic accuracy. Existing deep learning-based denoising methods frequently suffer from over-smoothing and limited...
Qing-Lei Yan, Qiang Lin, Tong-Tong Li et al.· EJNMMI Physics· 0 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