The present study explores the application of machine learning techniques to predict the E% for caproic acid systems using available variables prior to experimentation, and the XGBoost model shows the best performance.
Anjali Dahat, Aniket Ratnaparkhi, Diwakar Z. Shende et al.· Chemical Engineering Communi...· 0 citations
A previously unstated class of adversarial input called a clean attack - an input that is syntactically correct, semantically consistent with the declared task context, consistent with all observable policy constraints and still has the goal of misguiding the agent away from the original operator goal - is identified a...
Harsh Verma· International Journal of Sci...· 1 citation
This paper synthesizes the findings of the five-paper AI Agent Security Series into a unified, formal, and falsifiable theory of autonomous agent security, and establishes three meta-theorems: the Component Insufficiency Theorem, the Dynamic Necessity Theorem, and the Interaction Irreducibility Theorem.
Harsh Verma· International Journal of Sci...· 1 citation
Securing AI systems is not a task any single discipline can accomplish alone; it requires sustained collaboration between machine learning researchers, cybersecurity professionals, and policymakers if AI technologies are to remain reliable, trustworthy, and resilient in adversarial environments.
Harsh Verma· International Journal of Sci...· 1 citation
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The paper argues that algorithmic governance should not be assessed only by whether systems are accurate, explainable or compliant, but also by whether affected persons retain interpretive agency, contestatory power, relational recognition and meaningful participation in institutional life.
K. Tan· International Journal of Law...· 1 citation
Cognitive stewardship is developed, a framework for AI-mediated assessment that links the learning claim, delegation boundary, evidence standard, and safeguards, and audit verified public generative AI assessment guidance from 30 universities shows that permission categories are necessary but insufficient.
Schizophrenia (SZ) is associated with subtle alterations in neural dynamics that are difficult to capture using conventional electroencephalogram (EEG) features. This study introduces a unified deep learning framework that integrates recurrence plots (RP) with wavelet synchrosqueezed transform (WSST) representations in...
Sara Bagherzadeh, Mohammadreza Norouzi, Pouya Tolou Kouroshi et al.· Scientific Reports· 0 citations
Subtitle A Comprehensive Study of Energy-Efficient Appliances, Intelligent Power Utilization, Energy Conservation and Sustainable Household Electricity Management Detailed Description The increasing dependence on electrical appliances has resulted in significant growth in household electricity consumption. Fans, refrig...
Sudhakar Geruganti· Zenodo (CERN European Organi...· 0 citations
Subtitle A Study of Innovative Energy-Efficient Technology, Intelligent Power Management and Sustainable Electricity Utilization Detailed Description This research paper investigates the development and application of innovative technology for reducing electricity consumption and lowering electricity bills. The newspap...
Sudhakar Geruganti· Zenodo (CERN European Organi...· 0 citations
The sentence “its fitness is high” points at one of four different quantities. This paper asks whether the four behave alike──the answer is only one depends on the population. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new law is claimed──...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Economic Convergence Under Technological and Climate Transformation presents a comprehensive macro‑structural framework explaining how emerging markets can achieve sustained catch‑up growth amid two simultaneous global transitions: the Technological Wave—AI, robotics, digital automation—and the Climate Wave—decarboniza...
Hunter Hughes· Zenodo (CERN European Organi...· 0 citations
AbstractDebates about artificial consciousness and AI welfare ask whether an artificial system can feel, deserve protection, possess private interests, or bear responsibility. Each question contains a prior pronoun: whose experience, welfare, history, action, and future? For organisms, body, developmental history, and...
Kimiyasu Igarashi· Zenodo (CERN European Organi...· 0 citations
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 Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
MIT News · Artificial Intelligence· news.mit.eduOct 13, 2026
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.
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