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2,387 papers
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...
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.
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...
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)...
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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)...
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...
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...
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...
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...
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...
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...
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...
Professor Deb Roy contends there should be someone who is “answerable” for every piece of text in public life, no matter its origins.
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.
GPT-Lab
· gpt-lab.eu
Oct 12, 2026
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
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