Pays des laboratoires · rang 41 mondial
Recherche en IA : Nouvelle-Zélande
Articles situés
225
Ce mois-ci
0
−100 % vs mois précédent
Sujets touchés
114
Cette page ne montre que les 225 articles dont au moins un laboratoire a pu être rattaché à ce pays, entre le 27 octobre 2025 et le 13 août 2026. Ce n'est pas toute la production du pays.
Il s'agit du pays du laboratoire, jamais de la nationalité des personnes. Un article co-signé depuis plusieurs pays compte dans chacun d'eux. La couverture est partielle et le manque n'est pas aléatoire : un chercheur dont l'institution est inconnue publie en général peu, ce qui sur-représente les laboratoires établis.
Volumes par domaine
Sur quoi travaille ce pays : Nouvelle-Zélande
Les thèmes et sujets ne sont pas inventés ici : chaque papier est rattaché à la classification d'OpenAlex, le catalogue ouvert qui indexe la recherche scientifique mondiale (hiérarchie domaine › champ › thème › sujet). Cliquer sur un thème le découpe en ses principaux sujets.
Expressions en hausse - 30 derniers jours
Signaux émergents
Les expressions qui reviennent nettement plus souvent qu'à l'habitude dans les articles de ce pays. Le corpus national étant bien plus petit que le corpus mondial, le seuil de sélection est proportionnel à son volume : les pourcentages sont plus nerveux, et un terme peut monter sur quelques articles seulement.
Aucun signal calculé - le workflow de détection des bursts n'a pas encore tourné.
Sujets les plus actifs - 12 mois
Trajectoires
Sujets issus de la classification scientifique OpenAlex.
Multimodal Machine Learning Applications
Vision
Advanced Graph Neural Networks
IA
Large Language Models
IA
Generative Adversarial Networks and Image Synthesis
Vision
Remote Sensing and LiDAR Applications
Environmental Engineering
Adversarial Robustness in Machine Learning
IA
Reinforcement Learning in Robotics
IA
Teaching and Learning Programming
Computer Science Applications
20 articles les plus récents
Dernières ingestions
| Article | Résumé | Thème | Sujet |
|---|---|---|---|
| AWARe: Mitigating Catastrophic Forgetting via Activation-Weighted Adaptive REtention 13 août 2026 | Multimodal Large Language Models (MLLMs) exhibit strong generalization and reasoning abilities due to large-scale multimodal pre-training. However, fine-tuning these models on… | Vision | Multimodal Machine Learning Applications |
| Topology-Aware Global-Local Mamba Networks for Palm Vein Biometrics 11 août 2026 | Palm-vein recognition is a fine-grained biometric task in which both local vascular texture and the global layout of the vessel tree carry discriminative information, while public… | Signal Processing | Biometric Identification and Security |
| EgoAfford: Task-Oriented Affordance Grounding via Egocentric Referring Segmentation 6 août 2026 | Part-level affordance grounding has advanced the localization of functional object regions associated with elemental actions. Extending this capability to complex tasks calls for… | Vision | Multimodal Machine Learning Applications |
| Divergent large language model predictions from convergent representations in ambiguous word pairs 4 août 2026 | In this work we investigate how decoder-only transformers resolve lexical ambiguity through layer-by-layer analysis of three models spanning three parameter sizes… | Neurosciences | Neurobiology of Language and Bilingualism |
| Robust 6-DoF Object Pose Tracking with Built-In Recovery under Occlusions and Rapid Object Motions 28 juillet 2026 | Real-time 6-DoF object pose tracking is essential for many robotics applications, and several approaches exist. Yet even today's approaches remain unreliable under temporary full… | Vision | Video Surveillance and Tracking Methods |
| Joint Flow Matching for Generator-Consistent Classification 28 juillet 2026 | We introduce Joint Flow Matching (JFM), a training framework for continuous normalising flows over multiple variables. Standard flow matching transports variables from noise to… | Vision | Generative Adversarial Networks and Image Synthesis |
| Did Alice Do Wrong? Cross-Cultural Differences in Student Perceptions of Generative AI Use in University Computing Education 23 juillet 2026 | The rise of generative AI (GenAI) in higher education has prompted urgent debates surrounding academic integrity and ethical use. This study examines cross-cultural differences in… | Safety Research | Academic integrity and plagiarism |
| DARA: Degradation-Aware Low-Rank Residual Adaptation with Original-to-Corrupted Distillation for Corruption-Robust Animal Re-Identification 21 juillet 2026 | Animal re-identification (Re-ID) relies on fine-grained identity cues that can be disrupted by blur, noise, compression, and other visual degradations. Existing robustness… | Vision | Advanced Neural Network Applications |
| Semantic Hardness Is Not Visual Hardness: Sign-Aware Hard Negative Mining for Sign Language Retrieval 13 juillet 2026 | Sign Language Retrieval (SLRet) enables efficient access to sign language content but remains fragile in fine-grained scenarios where visually similar signs must be distinguished.… | Human-Computer Interaction | Hand Gesture Recognition Systems |
| Vision Language Action (VLA) Models for Unmanned Aerial Robotics and Bimanual Manipulation: A Review 9 juillet 2026 | Vision Language Action (VLA) models unify visual perception, natural-language understanding, and action generation within a single foundation model, allowing a robot to follow… | Vision | Multimodal Machine Learning Applications |
| Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering 9 juillet 2026 | Large language models (LLMs) achieve promising results on medical question answering benchmarks, yet their use in public health is constrained by hallucinations and the rapid… | IA | Large Language Models |
| Say What? Examining Text and Voice Input Modalities for Prompt-Based Programming in Computing Education 8 juillet 2026 | Large language models (LLMs) are increasingly integrated into computing education, yet nearly all prior research has focused on text-based interactions. As voice-enabled… | Computer Science Applications | Teaching and Learning Programming |
| Nemotron-Labs-3-Puzzle-75B-A9B: Compressing Hybrid MoE LLMs 7 juillet 2026 | We present Nemotron-Labs-3-Puzzle-75B-A9B, a compressed variant of Nemotron-3-Super optimized for interactive deployment. We designed the model to maximize server throughput under… | Réseaux | IoT and Edge/Fog Computing |
| When AI Is Wrong on Purpose: How Students Respond to Buggy GenAI Code 7 juillet 2026 | As Generative AI (GenAI) becomes increasingly central to software development, CS education is integrating prompt-centered workflows where students describe intended program… | Computer Science Applications | Teaching and Learning Programming |
| Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks 7 juillet 2026 | Learning to communicate with code-generating AI models is an emerging skill for novice programmers. One recent pedagogical approach, Prompt Problems, has students solve… | Computer Science Applications | Teaching and Learning Programming |
| Pre-Flight: A Benchmark for Evaluating Large Language Models on Aviation Operational Knowledge 3 juillet 2026 | Large language models (LLMs) are increasingly proposed for aviation business operations, from documentation and training generation to customer facing assistants. General purpose… | Aerospace Engineering | Air Traffic Management and Optimization |
| Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision 1 juillet 2026 | Despite recent progress, the reasoning capabilities of large multimodal language models (MLLMs) remain fundamentally constrained by static supervision, where fixed prompts, rules,… | Vision | Multimodal Machine Learning Applications |
| Safety from Honesty in a Disinterested AI Predictor 30 juin 2026 | As AI systems become more capable, training procedures that optimize for downstream outcomes risk introducing implicit agency: goal-directed behavior that designers never… | Safety Research | Ethics and Social Impacts of AI |
| Deterministic Decisions for High-Stakes AI. A Zero-Egress Pipeline with the Deployability of RAG and the Accuracy of Machine Learning 30 juin 2026 | We identify intervention bias as a previously unquantified failure mode of zero-shot large-language-model (LLM) educational advisory agents: without task-specific training, they… | IA | Intelligent Tutoring Systems and Adaptive Learning |
| Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM Decoding 29 juin 2026 | Large Vision-Language Models (LVLMs) exhibit sophisticated reasoning but remain susceptible to object hallucination. Deviating from the prevailing attention intensity assumption,… | IA | Adversarial Robustness in Machine Learning |
Pays des laboratoires - 90 derniers jours
Autres pays
Le classement mondial, tel qu'il apparaît sur le dashboard. Cliquer un autre pays ouvre sa page.
- États-Unis38 % · 26 375 articles
- Chine33 % · 22 828 articles
- Royaume-Uni7,5 % · 5 251 articles
- Allemagne7,2 % · 4 984 articles
- Inde4,6 % · 3 181 articles
- Canada4,5 % · 3 159 articles
- France4,1 % · 2 865 articles
- Corée du Sud4,1 % · 2 859 articles
- R.A.S. chinoise de Hong Kong3,2 % · 2 247 articles
- Japon3,2 % · 2 234 articles
- Australie3,1 % · 2 160 articles
- Italie2,9 % · 1 987 articles
- Singapour2,8 % · 1 952 articles
- Suisse2,3 % · 1 611 articles
Cliquer un pays pour n'y voir que sa recherche
Sur 69 649 articles dont au moins un laboratoire est situé, soit 76 % des 91 354 articles entièrement traités entre 27 octobre 2025 et 21 août 2026. 167 pays représentés.
Il s'agit du pays du laboratoire, jamais de la nationalité des personnes. Un article signé depuis plusieurs pays compte pour chacun d'eux, les parts dépassent donc 100 % au total. La couverture est partielle et le manque n'est pas aléatoire : un chercheur dont l'institution est inconnue publie en général peu, ce qui sur-représente les laboratoires établis.
Le digest par email
Recevez le digest
Un email le lundi matin : ce qui a bougé dans la recherche en IA la semaine passée. Pas de spam, désabonnement en un clic.