Research note updating the author's May 2025 NeuroModular AI Architecture concept (region-specific models communicating through a connectome-informed backbone). It acknowledges recent prior art on brain-inspired modular LLM systems (MAP, MICRO, Lilith and others) and claims no priority over it. It fixes four specific c...
Jovan David Rebolledo-Mendez· Zenodo (CERN European Organi...· 0 citations
We present an automated method for auditing text-to-image generators for representational bias against ground-truth demographic benchmarks. Our approach adapts the racial proxy variables used in U.S. antidiscrimination law to provide a fine-grained comparative analysis of variations in racial representation in generate...
Nia Mucher, Ngan Pham, Jason Chin et al.· Proceedings of the AAAI/ACM...· 0 citations
Short framing note. It observes that two independent modeling corrections are the same statement: in neurodegeneration, a streamline-weighted graph Laplacian is a nonlocal transport operator while voxelwise anisotropic diffusion is local; in language models, all-to-all attention is a nonlocal interaction while topograp...
Jovan David Rebolledo-Mendez· Zenodo (CERN European Organi...· 0 citations
Biomedical knowledge graphs (KGs) have emerged as a promising approach for incorporating biological knowledge into machine-learning models trained on electronic health record (EHR) data. However, their large scale and heterogeneous structure impose substantial computational cost, and it remains unclear whether their be...
Aishwarya Pathak, Oleg Stroganov, Tracy Ballinger et al.· bioRxiv (Cold Spring Harbor...· 0 citations
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An equation can fit simulation data while assigning numerical dissipation to physical transport. We characterize when continuum coefficients are identifiable from weak measurements with unknown discretization corrections, and test the resulting criterion across 1,080 datasets from transport, Burgers and reaction–diffus...
Research contributors· Zenodo (CERN European Organi...· 0 citations
This record contains the OpenHydroQual model files and input data for an edge-of-field treatment system in a 78-ha row-crop catchment in the Upper East Fork of the Little Miami River watershed, southwest Ohio, USA. The system is a USDA NRCS Conservation Innovation Grant site. An in-channel detention area and a riser di...
Arash Massoudieh· Zenodo (CERN European Organi...· 0 citations
Fragile X syndrome (FXS) features sensory, social, and cognitive dysfunction, but how fragile X messenger ribonucleoprotein 1 (FMR1) deficiency disrupts sensory corticostriatal circuitry and whether distinct FMR1 perturbations converge on shared cellular mechanisms remain incompletely defined. We integrated diffusion m...
Yu Yan, Dongyun Li, Jiangyu Yuan et al.· bioRxiv (Cold Spring Harbor...· 0 citations
Results-only evidence companion for the ISA-R2P-H reduced polar-handoff surrogate. It combines 19 archived CSV tables, six historical figures and the archived certificate with six freshly passing existing module tests, 40 fresh synthetic diffusion rows and 583 numerical consistency/analytic checks. Twenty-eight selecte...
David Glowalla· Zenodo (CERN European Organi...· 1 citation
STIGMERGIC SWARM MANUFACTURING UNDER QUANTUM MEASUREMENT UNCERTAINTY AT THE LIMIT A Research Architecture for Local Trace Coordination, Uncertainty-Aware Manufacturing, Reference Integrity, and Recoverable Collective Control Research Series: Nano–Quantum Tri-Coupling — Flagship 08Author / Research Imprint: Feng Cheng-e...
The paper investigates how the choice of a generative stochastic model of the training environment affects the numerical stability of the learning and the transfer of the Double DQN policy to real time series. Four environments — GBM, GARCH(1,1)-t, Minimal Neural SDE, and Neural Jump-Diffusion — are compared, created o...
Yurchenko Yuriy, Olexandr Zakovorotnyi· Journal of Mathematical Mode...· 0 citations
The paper investigates how the choice of a generative stochastic model of the training environment affects the numerical stability of the learning and the transfer of the Double DQN policy to real time series. Four environments — GBM, GARCH(1,1)-t, Minimal Neural SDE, and Neural Jump-Diffusion — are compared, created o...
Sergey Leonov· Journal of Mathematical Mode...· 0 citations
The rapid diffusion of generative artificial intelligence (GenAI) and algorithmic task automation across modern enterprises has fundamentally accelerated skill obsolescence, creating an urgent strategic imperative for continuous employee upskilling and reskilling. This critical review systematically evaluates contempor...
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
