artificial intelligence

Dressing Composite Fermions with Artificial Intelligence

Recent variational studies have demonstrated that the strongly correlated ground states of the fractional quantum Hall (FQH) effect can be captured using machine learning approaches starting from no prior knowledge of the underlying physics. We introduce a complementary framework that instead starts from Jain's composi...

BorFIT: a novel LiDAR-based training dataset for individual tree segmentation and species detection in northern boreal forests

BorFIT is a novel northern boreal forest training dataset designed to assist in the segmentation of individual trees and the detection of species from uncrewed aerial vehicle (UAV)-LiDAR point clouds, thus contributing to deep learning-based forestry applications. Recent advancements in AI-supported individual tree d...

Adaptive Labor Infrastructure for AI Disruption: The Hybrid Agora: collective meta-intelligence, human-agent teams and a virtuous learning circle between communities and machines

Artificial intelligence already performs much of the repetitive cognitive work in closed domains faster and at lower cost. The policy and research conversation now asks how workers and AI build expertise together, whether reskilling and reemployment can scale at the pace of disruption, and what public and private inves...

Algorithmic Postmodernism: A Framework

Algorithmic Postmodernism is a conceptual framework originated by Hoang-Dan Pham, conceived in 2024 with the founding of Hand-Fetish-Projects and formally stated in 2026. It describes a condition in which visibility increasingly precedes interpretation: search engines, recommendation systems and artificial-intelligence...

Vegetation increasingly controlled by atmospheric dryness rather than soil moisture

Abstract Terrestrial vegetation regulates global carbon cycling and climate through responses to water availability. Yet, it remains unclear whether soil moisture (SM) or atmospheric dryness (vapour pressure deficit, VPD) dominates vegetation responses and, more critically, how their relative influence changes over tim...

AI-Based Decision Support for Asset Allocation Management as a Component of Business Models under Market Uncertainty

Objectives The aim of the study was to identify and evaluate the possibilities of using artificial intelligence assistants to support decision-making processes related to asset allocation, treated as an important component of the business model of an enterprise operating under conditions of market uncertainty. Material...

Research Trends and Knowledge Structure of Artificial Intelligence Applications for Intangible Cultural Heritage

PREreview of "Two incursions, two viruses: Emergence of a second novel Shamonda virus clade in Central Europe, 2026"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23748929. Summary The preprint proposes that there are two distinct clades of the Shamonda virus (SHAV), a midge-borne virus that infects cattle, sheep, and goats recently found in...

The use of artificial intelligence by academic teachers in Poland

The study examines the attitudes of Polish academic teachers toward the use of artificial intelligence in teaching and research, with particular emphasis on their experiences, perceived benefits and concerns. The research was based on a quantitative survey conducted in the first half of 2025 using an online...

Use of Artificial Intelligence in the Conduct of Multi-Domain Operations

Objectives The purpose of this article is to critically examine the use of artificial intelligence (AI) in supporting the planning, coordination, and execution of multi-domain operations. It considers the applicability of systemic and functional approaches and qualitative methods to the analysis of AI-enabled military...

Generative AI in Managerial Decision-Making: A Systematic Literature Review of Trust, AI Literacy, and Decision Quality

Generative artificial intelligence (GenAI) is rapidly entering managerial decision processes, yet evidence remains fragmented regarding when AI-generated advice should be trusted, how managers should evaluate it, and how decision quality should be assessed. This study systematically reviews GenAI-supported managerial d...

Thermodynamic, Relativistic, and Governance Impossibilities of Space-Based Solar Power (SSPS) and Lunar AI Data Centers: Deterministic Superiority of Terrestrial RTO P2.0 and POSEIDON Microgrids

Recent sovereign budget allocations and corporate capital expenditures have increasingly targeted Space-Based Solar Power (SSPS) and Lunar AI Data Centers as purported solutions to terrestrial grid constraints and AI compute scaling limits. This monograph provides a rigorous mathematical, thermodynamic, relativistic, a...