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explainable ai

2,868 papers

#explainable ai Open access Sep 2026

Blackbox Demonstration Challenges for Sovereign Deterministic AI Engines

This document examines the structural, architectural, and operational challenges involved in demonstrating sovereign deterministic AI engines within a blackbox runtime. Deterministic cognitive systems, such as sovereign triad-substrate engines, require sealed execution, non-extractability, deterministic scheduling, and...

Eric Claridades · 0 citations
#explainable ai Open access Sep 2026

Cross-tumour transfer of a single-cell-to-explainable-AI prognostic framework

Analysis code for a study re-implementing a published seven-step single-cell-to-explainable-AI framework and transferring it from prostate cancer to lung adenocarcinoma, showing that the transferable unit is the biological programme rather than the marker gene.

Yang Liu, Linyun Wang, Dandan Zhang · 0 citations
#explainable ai Open access Sep 2026

The Anthropological Sovereignty of Law: Artificial Intelligence, Interpretation, and the Human Reserve of Judgment in the Algorithmic Age

The expansion of artificial intelligence systems constitutes one of the foremost legal challenges of the twenty-first century. This article advances an original theoretical category: the principle of the anthropological sovereignty of law. According to this principle, final legal decisions producing legal effects, or c...

Luigi Zito · 0 citations
#explainable ai Open access Sep 2026

Explainable AI for evaluating hospitalization outcomes based on electronic health records for chronic disease patients

Machine learning models can leverage electronic health record data to support predictive analytics and guide proactive interventions for chronic patients. This study analyzed over 40,000 hospital admissions for chronic obstructive pulmonary disease (COPD), liver disease, diabetes, and acute myocardial infarction (AMI)...

Ofir Ben‐Assuli, Roni Ramon‐Gonen, Gaya Geva · 0 citations
#explainable ai Open access Sep 2026

Explainable AI for evaluating hospitalization outcomes based on electronic health records for chronic disease patients

Machine learning models can leverage electronic health record data to support predictive analytics and guide proactive interventions for chronic patients. This study analyzed over 40,000 hospital admissions for chronic obstructive pulmonary disease (COPD), liver disease, diabetes, and acute myocardial infarction (AMI)...

Ofir Ben‐Assuli, Roni Ramon‐Gonen, Gaya Geva · 0 citations
#explainable ai Book Open access Sep 2026

Electrical Engineering for Sustainable Energy: Electric Vehicles, Smart Grids, Renewable Power Systems, and Artificial Intelligence

Intelligent Electrical Engineering for Sustainable Energy provides a comprehensive introduction to modern electrical engineering technologies that are shaping the transition toward clean, intelligent, and sustainable energy systems. The book brings together renewable energy, electric vehicles, battery energy storage, s...

Dr. Srinath S, Er. Rengarajan V, Er. Devika B · 0 citations
#explainable ai Open access Sep 2026

The Collapse Canon: Unified, Meta‑Singularity, Omni‑Collapse, and Omega‑Collapse Frameworks A Complete Multi‑Layer Architecture of Collapse, Regeneration, Reflexivity, and Post‑Dimensional Structure

This upload contains the complete Collapse Canon: a multi‑document theoretical architecture describing how systems collapse, regenerate, propagate instability, mutate through time, interact ecologically, collapse across multiple dimensions, collapse at the operator level, collapse across all layers simultaneously, and...

Matthew Arthur Carlo · 0 citations
#explainable ai Open access Sep 2026

Yang-Mills spectral and state maps: finite-regulator calculations and continuum research checkpoint

This edition archives the entire public canonical mathematical workbench underlying the Yang-Mills spectral and state research programme. It contains the original S6 manuscript and transcription, cumulative reconstruction, all tracked standalone manuscripts and supplied readers, the full TeX/Bib hierarchy, authored pro...

KokunoYumeto · 0 citations
#explainable ai Open access Sep 2026

THE BRIDGE CHOMSKY NEVER BUILT: Innate Language, Innate Freedom, and a Candidate Ground

Abstract Chomsky built two great things and never joined them. In linguistics, he argued that humans are born with a language faculty — and he won that argument by refusing to accept a named capacity as an explanation. In politics, he argued that authority must justify itself because humans have an instinct for freedom...

José Caetano de Mattos · 0 citations
#explainable ai Open access Sep 2026

APISentry: A Real-Time Hybrid Machine Learning Gateway for Detecting Behavioural and Payload-Based API Attacks

APISentry is a real-time, hybrid machine-learning security gateway for REST APIs. Deployed as a reverse proxy, it detects and blocks seven attack types — SQL injection, parameter tampering, brute-force login, credential stuffing, broken object level authorization (BOLA), API flooding, and token replay — by jointly anal...

Author(s) Anonymous · 0 citations
#explainable ai Open access Sep 2026

AI Real Estate True Price Prediction Using on-Ground Video

Accurate real estate and land valuation is a challenging task due to the influence of multiple spatial, environmental, physical, infrastructural, and socioeconomic factors. Conventional property valuation methods often depend on manual inspection, historical transaction data, and expert judgment, which can be time-cons...

Nithin G., Pramatha K.P., Naveen Kumar C et al. · 0 citations
#explainable ai Open access Sep 2026

Rethinking AI-supported Skilling Strategies in Companies

AI-supported skilling strategies in companies are presented, including AI's positive impacts such as identifying skills gaps, personalized learning, mentoring, and fostering a culture of lifelong learning and adaptability, and the importance of developing strategies to address the challenges posed by AI-driven disinfor...

I. Hamburg · 0 citations

From tech blogs

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Microsoft Research Blog Nov 3, 2026

Learn the rules: The hacker mindset

Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.

GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

MIT News · Artificial Intelligence Oct 30, 2026

Q&A: Hey AI, who should I vote for this year?

MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.

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