The emergence of ChatGPT and similar large language models has precipitated fundamental questions about the nature and distribution of epistemic authority in contemporary knowledge systems. This comprehensive analysis examines whether ChatGPT undermines human epistemic authority through a multi-dimensional theoretical...
Kwan Hong TAN· PhilPapers (PhilPapers Found...· 0 citations
David Cota’s evaluation of the author’s “participatory explanation” approach to consciousness reveals fundamental conceptual problems that plague contemporary consciousness studies. Cota identifies a critical conflation between reason as a symbolic-operational function, and consciousness as a phenomenal-experiential fi...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
David Cota’s evaluation of the author’s “participatory explanation” approach to consciousness reveals fundamental conceptual problems that plague contemporary consciousness studies. Cota identifies a critical conflation between reason as a symbolic-operational function, and consciousness as a phenomenal-experiential fi...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Agentic artificial intelligence is shifting automation from prediction and recommendation toward autonomous execution. This transition creates an economic externality that is not captured by conventional firm-level investment models. A firm receives much of the productivity benefit from delegating decisions to an artif...
Kwan Hong TAN· International Journal of Eco...· 1 citation
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Added One module for N formulas. DeepLogModuleFactory.compile(*nodes) takes any number of formula ASTs and returns one module with a column per formula, in the order given. Before, N formulas meant N compile calls — N circuit factories, N knowledge compilations, and a copy of every predicate module per formula — even w...
Robin Manhaeve, Stefano Colamonaco, Vincent Derkinderen et al.· Zenodo (CERN European Organi...· 0 citations
On September 28, 2026, Jincheng Zhang released a large-scale collection of 44,123 original computer science preprints. All 44,123 papers are sole-authored research works written by Jincheng Zhang himself. The collection is not a bibliography, compilation, or repository of papers authored by other researchers; rather, i...
Code, Colab notebooks, configurations, trained checkpoints and derived results for the article "AI-Enabled Land-Use–Transport Decision Support for Bike-Sharing Expansion: Spatial Transfer, Station-Mediated Accessibility, and Policy Frontiers" (under review in Transportation Research Part A: Policy and Practice, special...
Igor Betkier· Zenodo (CERN European Organi...· 0 citations
Parkinson’s disease (PD) research has been reshaped by large-scale multi-modal longitudinal datasets and advances in artificial intelligence (AI) and machine learning (ML). This review synthesises the current state of longitudinal modelling, feature selection, and missing-data imputation for PD, drawing on 154 studies...
Moad Hani, Nacim Betrouni, Saïd Mahmoudi et al.· AI Computer Science and Robo...· 0 citations
Résumé FRCe document, produit avec l’assistance de Gemini 3 Raisonnement, est publié sous licence Apache 2.0. Il constitue une publication défensive volontaire (antériorité) et entre de ce fait dans l’état de la technique au sens des législations applicables : art. 54(2) CBE (Convention sur le brevet européen), art. L...
Xavier Pillet· Zenodo (CERN European Organi...· 0 citations
Emotion recognition from brain activity has emerged as an important research area in affective computing, with electroencephalography (EEG) providing a direct physiological signal for identifying emotional states. This study presents a controlled experimental comparison of three deep learning architectures—one-dimensio...
Naveen Saini· International journal of tec...· 0 citations
Parkinson’s disease (PD) research has been reshaped by large-scale multi-modal longitudinal datasets and advances in artificial intelligence (AI) and machine learning (ML). This review synthesises the current state of longitudinal modelling, feature selection, and missing-data imputation for PD, drawing on 154 studies...
AbstractThe exponential growth in integrated circuit (IC) complexity, combined with tight power, performance and area (PPA) limits, has strained traditional Electronic Design Automation (EDA) techniques. Classical logic synthesis relies on hand-engineered heuristics whose runtime and solution quality struggle to scale...
Rainean Fordelon· Zenodo (CERN European Organi...· 0 citations
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.
Microsoft Research Blog· microsoft.comJul 13, 2026
Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduJul 6, 2026
PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.
