artificial intelligence

Patronizing and Condescending Language Detection in English and Mandarin

This paper proposes a system for the automated detection of PCL, which uses static word embeddings and a convolutional neural network for classification, while the second approach uses pre-trained BERT embeddings fine-tuned for the PCL task.

Phronix: The Capability-Centric Learning Paradigm for Agents

Phronix is introduced, a capability-centric learning paradigm that enables agentic harnesses to acquire, validate, and refine reusable capabilities from their own executions, significantly reducing solution non-determinism and improving reliability.

Tradeoff-Aware Territory Design: A Multi-Objective Decision System for Enterprise Customer-to-Seller Allocation

Enterprise customer journeys are shaped not only by product experiences and marketing, but also by recurring resource-allocation decisions. In B2B go-to-market (GTM) organizations, territory carving determines which accounts receive seller coverage, which seller-account relationships are preserved, and how limited fiel...

Integrated Pest Management Models for Sustainable Agriculture: Principles, Applications, and Future Directions

Integrated Pest Management (IPM) has become an important approach for protecting crops while reducing the environmental and health concerns associated with excessive pesticide use. Conventional pest control often depends heavily on chemical pesticides, which can contribute to pesticide resistance, pest resurgence, cont...

Extended Reality, Telementoring, and Artificial Intelligence-Assisted Assessment in Surgical Training: A Narrative Review

Robots for CT-guided needle insertion: clinical implementation and future perspectives

Abstract Robotic systems for computed tomography (CT)-guided needle insertion have been developed to address the limitations of conventional manual needle insertion. Thus far, various robotic systems have been clinically implemented, and accumulating evidence has suggested their clinical utility. The evidence has evolv...

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

3状態Blume--Capel選挙ポテンシャルゲームにおける非同期ショックカスケード、スピノーダル・ヒステリシス、および空間感染米国50州にわたる歴史的分割議会バックテストとマルチレジーム・モンテカルロ検証

アブストラクト 二大政党得票率 $R_{k}=\frac{1}{2}(1+m_{k}^{*}/q_{k}^{*})$ を逆転させることが確認された。2018〜2020年のねじれ議会に対する歴史的バックテストからは、上院による制度的緩衝作用と急速な記憶散逸が、高投票率かつ順序可換な均衡($q_{k}^{*}>84\%$)を維持することが確認される。対照的に、緩衝作用のない両院の膠着状態の下...

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