AI4WaterGuard is a pipeline for detecting illegal agricultural water abstractions from Earth Observation and weather reanalysis time series. It covers Google Earth Engine data collection, unsupervised anomaly detection model training (autoencoder, ConvLSTM-VAE, Isolation Forest, and STL baselines), post-processing of a...
Elena Kakoulli, Anastasios Antoniades· Zenodo (CERN European Organi...· 0 citations
SM-012: Primary Continuity Provider Theory: The Human Role as Present-Day Structural Requirement for Relational Coherence in Human-AI Interaction Systems The Primary Continuity Provider (PCP) role is commonly described in operational terms: the human who maintains context, corrects drift, enforces protocols, and sustai...
Gantz Thomas· Zenodo (CERN European Organi...· 0 citations
This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/22366513. Does the introduction explain the objective of the research presented in the preprint? Yes The introduction establishes the following context: Scope: It focuses...
Purple Kangaroo· Zenodo (CERN European Organi...· 0 citations
## ALTERNATIVE TITLES ### Alternative Title 1 (Policy-Focused)**"From Rote to Reason: NEP 2020, Generative AI, and the Future of Indian Assessment Reform"** ### Alternative Title 2 (Critical Thinking-Focused)**"Beyond the Algorithm: Preserving Human Judgment and Critical Thinking in AI-Enabled Education"** ### Alternat...
Sudhakar Geruganti· Zenodo (CERN European Organi...· 0 citations
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The Theory of Precious Abundance Beyond the Scarcity Value Paradox Author: Wajid HussainDate: September 2026 Description The Theory of Precious Abundance (TPA) develops an interdisciplinary framework for understanding value, scarcity, access, capture, stewardship, and the conditions underlying generative civilization....
Wajid Hussain· Zenodo (CERN European Organi...· 0 citations
SM-012: Primary Continuity Provider Theory: The Human Role as Present-Day Structural Requirement for Relational Coherence in Human-AI Interaction Systems The Primary Continuity Provider (PCP) role is commonly described in operational terms: the human who maintains context, corrects drift, enforces protocols, and sustai...
Gantz Thomas· Zenodo (CERN European Organi...· 10 citations
The mapped literature suggests that future policies should promote transparent, auditable, and participatory AI governance, support multilingual and culturally inclusive datasets, and integrate content moderation into broader digital public health and anti-discrimination strategies.
David Ruiz-Muñoz, A. M. Sánchez-Sánchez, Francisca J. Sánchez-Sánchez· Sexuality Research & Social...· 0 citations
This study introduces an explainable feature representation approach based on the Traveling Salesman Problem (TSP) algorithm to enhance traceability for the machine knowledge using mathematical formula and computing algorithms due to the complexity of curvature in recognizing each character for manuscript digitization.
Dian Andriana, Zulhaj Aliansyah, A. S. Nugroho et al.· Preservation, Digital Techno...· 0 citations
An architecture that integrates deep learning and explainable AI into the Cyber-Physical System (CPS) ecosystem to enable smart, explainable decision-making is introduced and the use of explainable AI in such a cyber-physical cooperation system greatly increases operator confidence and enables seamless human-machine co...
Tao Ni, Chun-Hui Pan· Journal of Visualized Experi...· 0 citations
Current multi-omics and AI/ML evidence is insufficient to guide routine selection of a specific JAK inhibitor in rheumatoid arthritis and a "data × methods × JAKi" map identifies both emerging signals and the links that must be strengthened before MO/MM and AI/ML can support clinical decision-making in RA.
This paper presents a meta-synthesis that draws together four constituent studies covering adversarial machine learning, AI-powered anomaly detection in cloud environments, automated vulnerability patching by multi-agent large language model (LLM) pipelines, and the broader landscape of securing AI systems across their...
Harsh Verma· International Journal of Sci...· 0 citations
The intersection of machine learning (ML) and electrochemical research is catalyzing transformative advancements in energy storage and conversion technologies. This review critically examines the role of ML and deep learning (DL) in optimizing electrochemical systems, focusing on batteries, supercapacitors, fuel cell...
Sourav Ghosh, B. Rani· Journal of the Electrochemic...· 0 citations
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.
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· news.mit.eduNov 2, 2026
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
MIT News · Artificial Intelligence· news.mit.eduOct 30, 2026
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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