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generative ai

2,720 papers

#generative ai Open access Aug 2026

A Certified Negative Interval for the Ninth Derivative Laguerre Quantity of the Riemann Xi Kernel

This revised preprint studies the derivative Laguerre quantities associated with the Jacobi theta kernel in the Fourier representation of the Riemann xi-function. It gives exact rational certificates showing that the ninth quantity is negative throughout a nontrivial interval around the symmetry point, with the certifi...

Akihiro Koide · 0 citations
#generative ai Open access Aug 2026

Physical AI for Oncology Clinical Trials

Practical tools for integrating physical AI into oncology clinical trials. Provides production-ready configurations, validated pipelines, and integration guides for deploying robotic systems, digital twins, and embodied AI agents in oncology. Covers NVIDIA Isaac Lab, MuJoCo, ORBIT-Surgical, dVRK, and agentic/generative...

Kevin Kawchak · 0 citations
#generative ai Open access Aug 2026

FORENSIC AUDIT ON THE "POCKET MONEY" NARRATIVE: DECONSTRUCTING ALGORITHMIC HEGEMONY AND SYSTEMATIC GASLIGHTING BY TECH GIANTS

ABSTRAK Studi ini melakukan audit forensik terhadap degradasi pendapatan sistemik dalam ekosistem penerbitan digital global. Studi ini secara kritis mengkaji normalisasi narasi AdSense sebagai Uang Saku, yang secara agresif diperkuat oleh algoritma Kecerdasan Buatan (AI). Dengan menggunakan pendekatan Sosio-Legal dan p...

TRI HAKIM · 0 citations
#generative ai Open access Aug 2026

Generic Identifiability and Directed Containment for Strongly Tree-Child Level-2 Networks under the Kimura Two-Parameter Model: The Principal Positive Domain and Strict Continuous Time

We classify regular full-dimensional stochastic containment among binary standard semi-directed strongly tree-child level-2 phylogenetic networks under the Kimura two-parameter (K2P) model. On the principal positive Fourier domain D₊ = {(s,g): 02s−1}, a directed containment germ exists if and only if the two labelled n...

Alec Kriebel · 2 citations
#generative ai Open access Aug 2026

The deflated-Welch statistic: a closed-form, guaranteed-level test for heteroscedastic one-way ANOVA. (T_BB, m01a): Methods, confidence-set-geometry development, derivations, novelty, and reporting standard): reproducibility deposit

The deflated-Welch statistic: a closed-form, guaranteed-level test for heteroscedastic one-way ANOVA William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell. ORCID 0009-0004-0855-7222. Concept DOI (always resolves to the latest version): 10.5281/zenodo.21908169. Wh...

William Dwyer · 4 citations
#generative ai Open access Aug 2026

Baiyuan GEO Platform: A Whitepaper on Building a SaaS for Generative Engine Optimization

An engineering whitepaper documenting the construction of Baiyuan GEO Platform (2024–2026), a SaaS system for Generative Engine Optimization. The system helps brands be cited accurately and consistently across ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and 15+ AI platforms. Coverage: seven-dimension AI citation-rat...

Vincent Lin · 3 citations
#generative ai Open access Aug 2026

Generative AI Adoption for Image and Video Creation by Creators and Small Businesses in Emerging Markets: An Evidence Map and Early Platform Usage Study

Creators, freelancers, and small businesses in emerging markets are among the earliest and most intensive users of generative image and video tools, yet the academic evidence on their adoption remains fragmented across disciplines. This article contributes a two-part evidence base. The first part is a verified corpus o...

Roan Guilherme Weigert Salgueiro · 0 citations
#generative ai Open access Aug 2026

Artificial Intelligence and Cyber Law in India: Recalibrating Legal Responsibility in The Age of Generative AI

Abstract This paper examines the challenges posed by Generative Artificial Intelligence (AI) to cyber law and legal responsibility in India. It argues that the rapid generation and dissemination of synthetic text, images, audio and video complicate traditional approaches to responsibility, particularly where developers...

Sagar Vilas Shelke · 0 citations
#generative ai Open access Aug 2026

Algorithmic Authorship, Data Sovereignty, And Intellectual Property Rights: Navigating the Intersection of Law, Science, And Society in the

Abstract The rapid convergence of artificial intelligence (AI), data science, and legal frameworks has created a profound crisis within global and domestic Intellectual Property Rights (IPR) regimes. Traditionally, copyright and patent laws were constructed around the central premise of human agency, recognizing intell...

Ameena Saheblal Halima - · 0 citations
#generative ai Open access Aug 2026

Artificial Intelligence and Cyber Law in India: Recalibrating Legal Responsibility in The Age of Generative AI

Abstract This paper examines the challenges posed by Generative Artificial Intelligence (AI) to cyber law and legal responsibility in India. It argues that the rapid generation and dissemination of synthetic text, images, audio and video complicate traditional approaches to responsibility, particularly where developers...

Sagar Vilas Shelke · 0 citations

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MIT News · Artificial Intelligence Oct 28, 2026

3 Questions: Why infrastructure is entering a defining era

Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.

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