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3,195 papers

#natural language process... Open access Sep 2026

The Liminal Ontology: A New Framework for Consciousness, Identity, and the So-Called Supernatural

This thesis introduces a novel theoretical framework, the Liminal Ontology, to address the enduring philosophical and scientific challenges posed by consciousness, identity, and anomalous experiences. Moving beyond the traditional dualism of mind and matter and the limitations of materialism, the Liminal Ontology posit...

Kwan Hong TAN · 0 citations
#natural language process... Open access Sep 2026

The Liminal Ontology: A New Framework for Consciousness, Identity, and the So-Called Supernatural

This thesis introduces a novel theoretical framework, the Liminal Ontology, to address the enduring philosophical and scientific challenges posed by consciousness, identity, and anomalous experiences. Moving beyond the traditional dualism of mind and matter and the limitations of materialism, the Liminal Ontology posit...

Kwan Hong TAN · 0 citations
#natural language process... Open access Aug 2026

Is Science Losing Its Objectivity in a Post-COVID World?

The COVID-19 pandemic served as a profound stress test for the global scientific enterprise, conducted under unprecedented public scrutiny and political pressure. This paper argues that the pandemic did not simply erode scientific objectivity but rather accelerated a necessary reckoning with its complex nature. Moving...

Kwan Hong TAN · 0 citations
#natural language process... Open access Aug 2026

Is Science Losing Its Objectivity in a Post-COVID World?

The COVID-19 pandemic served as a profound stress test for the global scientific enterprise, conducted under unprecedented public scrutiny and political pressure. This paper argues that the pandemic did not simply erode scientific objectivity but rather accelerated a necessary reckoning with its complex nature. Moving...

Kwan Hong TAN · 0 citations
#data science Open access Aug 2026

The Ethics of Anonymity in Protest and Resistance: A Critical Analysis

This paper provides a critical analysis of the ethics of anonymity in protest and resistance movements, offering novel perspectives that transcend traditional debates. We argue that the digital surveillance age necessitates a fundamental re-evaluation of anonymity, moving beyond a simplistic dichotomy of transparency v...

Kwan Hong TAN · 0 citations
#data science Open access Aug 2026

The Ethics of Anonymity in Protest and Resistance: A Critical Analysis

This paper provides a critical analysis of the ethics of anonymity in protest and resistance movements, offering novel perspectives that transcend traditional debates. We argue that the digital surveillance age necessitates a fundamental re-evaluation of anonymity, moving beyond a simplistic dichotomy of transparency v...

Kwan Hong TAN · 0 citations
#natural language process... Open access Aug 2026

The Synthetic Consensus Trap: Correlated AI Errors, Verification Overload, and the Mathematics of Institutional Epistemic Cascades

Institutions are beginning to use multiple large language models, AI agents, automated reviewers, and human overseers as if agreement among them were independent corroboration. That assumption can fail. This paper develops the Synthetic Consensus Cascade (SCC) framework, a multidisciplinary mathematical model linking c...

Kwan Hong TAN · 1 citation
#natural language process... Open access Aug 2026

The Synthetic Consensus Trap: Correlated AI Errors, Verification Overload, and the Mathematics of Institutional Epistemic Cascades

Institutions are beginning to use multiple large language models, AI agents, automated reviewers, and human overseers as if agreement among them were independent corroboration. That assumption can fail. This paper develops the Synthetic Consensus Cascade (SCC) framework, a multidisciplinary mathematical model linking c...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Jul 2026

Human Agency Under Algorithmic Governance: A Humanities Framework for Law, Management and Public Life

Artificial intelligence is increasingly becoming a governing medium through which institutions classify persons, allocate opportunities, structure work, produce knowledge and mediate public trust. Current AI governance frameworks emphasise risk classification, technical assurance, transparency, accountability and human...

Kwan Hong TAN · 0 citations
#software testing Open access Sep 2026

Rare-Event Fidelity in Simulated Thermodynamic Samplers

Thermodynamic computing aims to reduce the cost of sampling by drawing on the natural fluctuations of physical systems. Realizing this promise requires understanding how the probabilities generated by a sampling process relate to those of the intended model, especially for rare events. We present a computational refere...

Farynth Research · 0 citations
#software testing Open access Sep 2026

Reproducibility Package for "A 21-Year ERA5 Climatology of Persistent Contrail Formation Potential over Azerbaijan and the South Caucasus"

This reproducibility package supports the manuscript “A 21-Year ERA5 Climatology of Persistent Contrail Formation Potential over Azerbaijan and the South Caucasus.” It contains the Google Colab notebooks used for ARCO-ERA5 data retrieval, quality control, persistent contrail formation potential calculations, climatolog...

Heydar Alisoy · 0 citations
#software testing Dataset Open access Sep 2026

Supporting dataset and example recording folder for "An open-source eye-tracking system adaptable to diverse terrestrial vertebrates reveals state-dependent visual acquisition in lizards"

Dataset: figure source tables and one example block for "An open-source eye-tracking system adaptable to diverse terrestrial vertebrates reveals state-dependent visual acquisition in lizards" This deposit contains the numerical source data underlying the figures and tables of the study, together with an example recordi...

Nimrod Leberstein, M. W. Becker, Tali Remenick et al. · 0 citations

From tech blogs

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Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

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.

MIT News · Artificial Intelligence Oct 2, 2026

Documenting the tech worker movement

Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.

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