artificial intelligence

Bayesian hierarchical downscaling of station observations with learned covariance kernels: an artificial intelligence evaluation of uncertainty propagation in national climate normals

National climate normals are typically reported as single numbers, yet they inherit uncertainty from sparse station networks, interpolation choices and covariance assumptions. The framework is applied to NASA POWER monthly reanalysis air temperature at 2 m for Lagos, Nigeria (6.52°N, 3.38°E) over 2000–2023, comprising...

Conformalized graph neural network emulation of regional climate extremes: an artificial intelligence evaluation of coverage guarantees under emissions-scenario shift

Conformal prediction offers distribution-free coverage guarantees for machine-learning emulators of climate extremes, but the guarantee is only as good as the exchangeability assumption that underwrites it. Using NASA POWER monthly reanalysis for Kampala, Uganda (0.35°N, 32.58°E) over 2000–2023 (312 observations, mean...

Agentic AI(SI) Cyber Crisis & Great-Power Alignment Agentic AI(SI) Cyber Cascades and the Mathematical Background of Great-Power Alignment Scenarios

過去30年間にわたり世界のサイバーセキュリティ基盤を支えてきた「人間のオペレーターが有する時間および認知資源の希少性」という経済学的前提は、自律型人工知能(AI)および合成知能(SI: Synthetic Intelligence)エージェント群(Swarm)の実戦投入によって根底から崩壊した。脱獄(jailbreak)されたオープンウェイトモデルとオープンソースのエー...

Decentralizing Cybersecurity across Artificial Intelligence, Internet of Things, Blockchain, Machine Learning, and Agentic AI: A Systematic Literature Review

Climate Change and Emerging Pest Challenges

Climate change is emerging as a major challenge to horticultural production by altering temperature, rainfall, atmospheric carbon dioxide, humidity and the frequency of extreme weather events. These changes directly and indirectly influence the survival, development, reproduction, dispersal and seasonal activity of ins...

NEXT-GENERATION MICROBIAL BIOPESTICIDES FOR SUSTAINABLE AGRICULTURE: OMICS, FORMULATION AND PRECISION DELIVERY

The increasing dependence on synthetic pesticides has raised concerns regarding environmental contamination, pesticide resistance, biodiversity loss and soil health, creating an urgent need for sustainable pest management strategies. Microbial biopesticides offer an environmentally compatible alternative by utilizing b...

Graph-matching domain adaptation for cross-border cropland masks: an artificial intelligence evaluation of label-scarcity transfer failure in national agricultural statistics

Cross-border transfer of cropland masks is routinely proposed as a remedy for label scarcity in national agricultural statistics, yet the conditions under which graph-matching domain adaptation fails have not been formalised. The analysis treats label scarcity as a structural property of the target domain rather than a...

Peptide Technologies for the Detection and Remediation of Micro and Nanoplastics from Molecular Mechanisms to Artificial Intelligence Guided Design

Same Technology, Different Problems? A Comparative Bibliometric Analysis of Generative AI Across Education, Business, Communication, and Governance

The rapid diffusion of generative artificial intelligence (GenAI) has raised questions about whether this technological phenomenon is problematised differently across institutional domains. This study compares GenAI scholarship in education, business and organisational research, communication and media and public gover...

Sequential decision-theoretic triage of climate-model ensemble members under compute budgets: an artificial intelligence evaluation of tail-risk omission in national adaptation planning

National adaptation planning routinely draws on multi-model climate ensembles, yet the compute available for downscaling, bias correction and stress testing is finite, so planners must choose which ensemble members to process. the present analysis formalises that choice as a sequential decision problem in which a plann...

[Advances in the integration of artificial intelligence and electrocardiogram for heart failure risk prediction, diagnosis, and treatment].

Role of Artificial Intelligence and Internet of Things in Pest Management

Agricultural pests represent significant biological limitations to both the productivity and quality of crops as well as to their economic returns. Traditional methods of pest control usually rely on conventional and less effective techniques such as field inspections, the use of pheromone traps, monitoring weather con...