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3,200 papers
QDL Research Suite QDL Research Suite is a free, open-source Python package that brings together tested computational and reproducibility tools from the Quantum Diverter Loop (QDL) research program. It is designed to help researchers verify, reproduce, inspect, and reuse advanced mathematical, statistical, and computat...
A free, portable, offline Windows application that calculates length/height-for-age, weight-for-age, and BMI-for-age z-scores (standard deviation scores, SDS) and percentiles for children and adolescents from a CSV file. No installation is required: download and extract AnthroZ_Calculator_v6.0_Windows_App.zip, keep its...
Exact, reproducible software for deterministic lexicographic flow allocation on lossy, capacitated rooted trees, and for the inverse rehabilitation-design problem posed on the same model. The allocation module implements the three-stage lexicographic model of the AppliedMath article Three-Stage Lexicographic Allocation...
Corrective evidence for Training adequacy and evaluation populations in remaining useful life benchmarks: 96 primary fits, two numerical-scale diagnostics and nine additional budget checks. All original prediction prefixes were reproduced exactly and every extended fit stopped by validation patience before the threefol...
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This dataset supports the structure-guided analysis of the MFN2 C-terminal modulator surface in the review "Conformational allocation of mitofusin 2 in neuronal mitochondrial dynamics: mechanisms and therapeutic targeting". It contains receptor and ligand coordinates, docking configurations, raw poses and logs, solvent...
A Shiny-based decision-support tool for non-genetics nephrology clinicians navigating NHS genomic testing pathways for suspected inherited renal disease. Covers eligibility scoring across 12 NHS genomic testing panels, a Bayesian diagnostic model spanning 24 gene-level conditions, and a variant interpretation module (1...
Repository Description This repository contains all data, computational outputs, and analysis scripts used for the ExFiT study: Ensemble-based Excited-State Character Fingerprinting across Temperatures. It provides equilibrium geometries, finite-temperature Wigner ensembles, quantum-chemical outputs, excited-state desc...
This version (2026-09-26) corrects a citation error found by an automated check and confirmed by hand against the arXiv abstracts. Version 2 cited the identifier 2607.07314, an unrelated federated-learning paper posted after this synthesis was drafted, for the quantum software debugging paper that notes quantum bugs "o...
Version 3 (2026-09-26) corrects a citation error in versions 1 and 2 and a false correction added in version 2, found by an independent audit and confirmed by re-checking every cited arXiv abstract. The inference-system fingerprinting findings, one of the four topics named in the title, were cited to arXiv:2605.29960;...
Description Model outputs required to run the test suite of the pyTMD tide prediction software. Disclaimer All models are owned and maintained by their developers. pyTMD is only licensed to use these models for scientific use and is not responsible for their upkeep. Please cite the original reference for each model if...
Evaluation frameworks turn model outputs into the scores that benchmarks, leaderboards and deployment decisions rely on, and the scoring code itself also requires direct checks. We test four evaluation frameworks (DeepEval, TruLens, lighteval and HELM) and one metrics library (TorchMetrics) with three checks: does a sc...
Evaluation frameworks turn model outputs into the scores that benchmarks, leaderboards and deployment decisions rely on, and the scoring code itself also requires direct checks. We test four evaluation frameworks (DeepEval, TruLens, lighteval and HELM) and one metrics library (TorchMetrics) with three checks: does a sc...
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
A Blog post by IBM Granite on Hugging Face
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
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.
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