Frontiers in Artificial Intelligence | New and Recent Articles https://www.frontiersin.org/journals/artificial-intelligence RSS Feed for Frontiers in Artificial Intelligence | New and Recent Articles en-us Frontiers Feed Generator,version:1 2026-06-03T12:13:17.647+00:00 60 https://www.frontiersin.org/articles/10.3389/frai.2026.1818128 https://www.frontiersin.org/articles/10.3389/frai.2026.1818128 <![CDATA[Evidence-based AI: from trailblazer to trustblazer?]]> 2026-06-03T00:00:00Z Perspective Thomas LuechtefeldThomas Hartung https://www.frontiersin.org/articles/10.3389/frai.2026.1796682 https://www.frontiersin.org/articles/10.3389/frai.2026.1796682 <![CDATA[Sovereign AI supercomputers: a global landscape review of unprecedented biomedical research infrastructure]]> 2026-06-03T00:00:00Z Review Lansaol YangMichael E. BryanEduardo VeigaIan LowenhoffAlex WanIsam MinaTracey AllenJavier Antonio AlfaroGareth BloomfieldJulian BeachKristen DahlgrenNick K. DavisElisa FontanaSpyridon GennatasQamar GhafoorFranck HousseauDaniel LubelskiZhehao ZhangMatt HancockWilliam InceDominic JamesSam KhanVictoria KuneneJohn McGraneGerard Cathal MillenBenjamin Moxley-WylesDavid Narganes-CarlonMiranda PaynePaul J. RossRene RouxMichael RoweRebecca LeeJerry S. H. LeeJustin K. H. LiuDeepak AggarwalAaron B. S. TeohChrissie ThirlwellMichael TilbyStefan SymeonidesIsabella WattsDavid B. AgusSanta J. OnoTim ElliottPaul CallejaLennard Y. W. Lee https://www.frontiersin.org/articles/10.3389/frai.2026.1804943 https://www.frontiersin.org/articles/10.3389/frai.2026.1804943 <![CDATA[CITADEL: a post-quantum secure blockchain framework for privacy-preserving electronic health records with temporally-partitioned federated learning]]> 2026-06-03T00:00:00Z Original Research Nagaraj SegarVijayarajan Vijayan https://www.frontiersin.org/articles/10.3389/frai.2026.1851069 https://www.frontiersin.org/articles/10.3389/frai.2026.1851069 <![CDATA[A systematic pipeline for diagnosing and reducing gender-stereotype bias in Japanese PLMs for sentiment analysis]]> 2026-06-03T00:00:00Z Original Research Yang LiuZiyang Li https://www.frontiersin.org/articles/10.3389/frai.2026.1765191 https://www.frontiersin.org/articles/10.3389/frai.2026.1765191 <![CDATA[Collaborate and explain on-the-fly: knowledge-based reasoning and learning in ad hoc teamwork]]> 2026-06-03T00:00:00Z Original Research Hasra DodampegamaMohan Sridharan https://www.frontiersin.org/articles/10.3389/frai.2026.1786679 https://www.frontiersin.org/articles/10.3389/frai.2026.1786679 <![CDATA[Deep learning driven colorectal polyp analysis: a review of detection, classification and segmentation methods]]> 2026-06-03T00:00:00Z Systematic Review Divya SSudha M https://www.frontiersin.org/articles/10.3389/frai.2026.1868452 https://www.frontiersin.org/articles/10.3389/frai.2026.1868452 <![CDATA[Compressed professionalization in informal economies: a socio-technical analysis of youth-led artificial intelligence adoption in the Democratic Republic of the Congo]]> 2026-06-03T00:00:00Z Original Research Delphin B. Kyubwa https://www.frontiersin.org/articles/10.3389/frai.2026.1764233 https://www.frontiersin.org/articles/10.3389/frai.2026.1764233 <![CDATA[Machine learning analysis of student consumer choices for pet supplements]]> 2026-06-03T00:00:00Z Original Research Ta-Chen ChenHui Yu ChungFu Shih Chen  0.93), these findings should be interpreted as an exploratory framework given the pilot nature of the study and the limited sample size (n = 41). These findings suggest that veterinarians and industry stakeholders should adopt data-driven communication strategies focusing on transparency and satisfaction.]]> https://www.frontiersin.org/articles/10.3389/frai.2026.1825655 https://www.frontiersin.org/articles/10.3389/frai.2026.1825655 <![CDATA[Attention integrated deep learning models for interpretable multi-class IoT intrusion detection using SHAP]]> 2026-06-03T00:00:00Z Original Research Ramakrishnan RamanRahul KumarBenson Edwin RajVishwesh Akre https://www.frontiersin.org/articles/10.3389/frai.2026.1861536 https://www.frontiersin.org/articles/10.3389/frai.2026.1861536 <![CDATA[Hierarchical context enhancement for long-tail entity retrieval augmented generation]]> 2026-06-02T00:00:00Z Original Research Yixuan PengKewu Pan https://www.frontiersin.org/articles/10.3389/frai.2026.1816292 https://www.frontiersin.org/articles/10.3389/frai.2026.1816292 <![CDATA[Self-calibrating neuromorphic system for adaptive environmental sensing]]> 2026-06-02T00:00:00Z Original Research Anantharaman PrasadS. Sofana RekaPrakash Venugopal https://www.frontiersin.org/articles/10.3389/frai.2026.1814012 https://www.frontiersin.org/articles/10.3389/frai.2026.1814012 <![CDATA[An integrated evolution-aware meta-learning framework with adversarial morphological augmentation for zero-day threat detections]]> 2026-06-02T00:00:00Z Original Research Kavitha LankaKareemulla Shaik https://www.frontiersin.org/articles/10.3389/frai.2026.1838463 https://www.frontiersin.org/articles/10.3389/frai.2026.1838463 <![CDATA[Integrating DeepL Write and Claude AI to enhance argumentative writing competence of engineering students in India]]> 2026-06-02T00:00:00Z Original Research T. J. DivyaC. Alamelu  0.05). The findings also indicated uniform improvements across all Toulmin components. The comparative analysis of the essays evidences the development of claims, data, warrants, backing and rebuttals, as well as improvements in linguistic features such as grammar, sentence structure and vocabulary. The thematic coding of the interview data yielded six themes related to perceived writing development, meta-cognitive awareness and the challenges and limitations of the tools.DiscussionThe findings indicate the pedagogical potential of integrating DeepL Write and Claude AI to improve argumentative writing skills of Indian ESL Engineering students. The findings also highlight the effectiveness of AI tools in improving linguistic features in students’ writing. By fostering responsible and informed use of digital technology in education, this study aligns with the Sustainable Development Goal (SDG) 4 (Quality Education).]]> https://www.frontiersin.org/articles/10.3389/frai.2026.1824067 https://www.frontiersin.org/articles/10.3389/frai.2026.1824067 <![CDATA[A lightweight CNN–transformer hybrid architecture with channel attention for real-time hazardous acoustic event detection]]> 2026-06-02T00:00:00Z Original Research Aigerim AltayevaNurzhan Omarov https://www.frontiersin.org/articles/10.3389/frai.2026.1804284 https://www.frontiersin.org/articles/10.3389/frai.2026.1804284 <![CDATA[Can small language models handle context-summarized multi-turn customer-service QA? A synthetic data-driven comparative evaluation]]> 2026-06-02T00:00:00Z Original Research Lakshan CoorayDeshan SumanathilakaPattigadapa Venkatesh Raju https://www.frontiersin.org/articles/10.3389/frai.2026.1834985 https://www.frontiersin.org/articles/10.3389/frai.2026.1834985 <![CDATA[A multi-agent RAG system for generating SCORM courses from enterprise documents]]> 2026-06-01T00:00:00Z Technology and Code Gulshat AmirkhanovaBauyrzhan AmirkhanovAlikhan AmirkhanovRamilya Aubakirova https://www.frontiersin.org/articles/10.3389/frai.2026.1796177 https://www.frontiersin.org/articles/10.3389/frai.2026.1796177 <![CDATA[Dual-band stub-loaded monopole antenna with bandwidth enhancement using weighted figure-of-merit optimization]]> 2026-06-01T00:00:00Z Original Research Jun-Jiat Tiang  0.99 (training)/>0.99 (validation), enabling rapid predictions (seconds vs. minutes per EM simulation). Radiation characteristics remain suitable (gain ~2–3.2 dBi lower/~3.5–4.3 dBi upper; efficiency >80–85%). The hybrid approach offers scalable, efficient methodology for next-generation dual-band antennas, with novelty in tunable band-prioritized FOM + ANN for legacy monopole enhancement.]]> https://www.frontiersin.org/articles/10.3389/frai.2026.1802007 https://www.frontiersin.org/articles/10.3389/frai.2026.1802007 <![CDATA[Exploring English for academic purposes learners’ engagement with ChatGPT-4 in academic writing revision: a case study from a private language institute in China]]> 2026-06-01T00:00:00Z Original Research Jinming Lawrence DuYiran Chen https://www.frontiersin.org/articles/10.3389/frai.2026.1834667 https://www.frontiersin.org/articles/10.3389/frai.2026.1834667 <![CDATA[Balancing beliefs: exploring preservice teachers’ generative artificial intelligence perceptions and intentions for practice]]> 2026-06-01T00:00:00Z Original Research Mike KarlinCristina Stephany'Alohilani OkamuraYoon Jin Nam-Huh https://www.frontiersin.org/articles/10.3389/frai.2026.1772844 https://www.frontiersin.org/articles/10.3389/frai.2026.1772844 <![CDATA[Investigating annotator bias in comment quality and incivility classification by formal education]]> 2026-06-01T00:00:00Z Original Research Lena WilmsAnke StollMarc Ziegele