Pays des laboratoires · rang 23 mondial
Recherche en IA : Émirats arabes unis
Articles situés
603
Ce mois-ci
0
−100 % vs mois précédent
Sujets touchés
190
Cette page ne montre que les 603 articles dont au moins un laboratoire a pu être rattaché à ce pays, entre le 27 octobre 2025 et le 18 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 : Émirats arabes unis
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
Large Language Models
IA
Generative Adversarial Networks and Image Synthesis
Vision
Adversarial Robustness in Machine Learning
IA
Explainable Artificial Intelligence (XAI)
IA
Natural Language Processing Techniques
IA
Advanced Graph Neural Networks
IA
Domain Adaptation and Few-Shot Learning
IA
20 articles les plus récents
Dernières ingestions
| Article | Résumé | Thème | Sujet |
|---|---|---|---|
| ARISE: An adaptive residual-informed stability ensemble for feature selection in small-sample biomedical omics 18 août 2026 | Objective: Small-sample molecular classification requires feature selectors that identify predictive, stable, and nonredundant subsets for binary and multiclass outcomes. We… | Molecular Biology | Gene expression and cancer classification |
| RGBX-Next: Towards Realistic Generative Rendering from G-Buffers 17 août 2026 | Diffusion models have achieved impressive results in image, video, and streaming generation. However, compared to traditional 3D rendering, they still lack precise control over… | Vision | Generative Adversarial Networks and Image Synthesis |
| How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning? 14 août 2026 | Magnetic Resonance Imaging (MRI) interpretation is fundamental to clinical decision-making, requiring radiologists to integrate multi-view anatomical planes across sequential… | Genetics | Glioma Diagnosis and Treatment |
| Perception Before Supervision: Self-Contained Visual Distillation from Counterfactual Blind Spots 11 août 2026 | Self-improvement for multimodal large language models (MLLMs) is typically driven by reward-based methods that provide only coarse scalar feedback. Distillation offers a richer… | Vision | Multimodal Machine Learning Applications |
| SurakshaEval: An Indic Safety Benchmark for Multilingual LLMs 11 août 2026 | Existing safety evaluation datasets for large language models (LLMs) predominantly focus on English and Western contexts, often overlooking the linguistic diversity and culturally… | IA | Adversarial Robustness in Machine Learning |
| BRUCE: Benchmarking Robustness Under Corruption Escalation for Scientific Vision-Language Reasoning 11 août 2026 | Visual-language models (VLMs) frequently struggle with robustness issues in real-world situations due to low- or varying-quality input images. In this paper, we aim at analyzing… | Vision | Multimodal Machine Learning Applications |
| MOAT: Model-Agnostic Randomized Transformations for preventing Efficiency Degradation Attacks on ViTs 6 août 2026 | To adopt the Vision Transformers (ViTs) in resource-constrained environment, token pruning is widely used to reduce computational cost without impacting accuracy. However,… | IA | Adversarial Robustness in Machine Learning |
| A Survey of Adversarial Efficiency Degradation for Vision Transformer by Exploiting Input-adaptive Optimization 6 août 2026 | Vision Transformers (ViTs) increasingly rely on input-adaptive inference, such as token pruning and early halting, to meet energy and latency budgets. This survey examines a… | IA | Adversarial Robustness in Machine Learning |
| ToolArtist: Tool-Using Unified Multimodal Models for Agentic Image Generation 6 août 2026 | Text-to-image (T2I) models can produce visually compelling images, yet they remain limited on open-world tasks that require complex semantic understanding, multi-step reasoning,… | Vision | Generative Adversarial Networks and Image Synthesis |
| Binding Biometrics with AI Agent Identifiers for Delegation of Authority 6 août 2026 | The proliferation of agentic artificial intelligence (AI) systems has raised serious questions about the accountability for tasks performed by AI agents. Ideally, an AI agent must… | Signal Processing | Biometric Identification and Security |
| Progressive Learning of a Diffusion-based Inpainting Model for Separating Overlapped Fingerprints 5 août 2026 | Overlapped friction ridge patterns are a recurring problem in latent fingerprints recovered from crime scenes and in live-scan scenarios where residual fingerprints on the sensor… | Signal Processing | Biometric Identification and Security |
| ReACT-CLIP: Response-Aware Test-Time Defense for Vision--Language Models 4 août 2026 | Training-free test-time defenses offer a practical way to improve the adversarial robustness of CLIP-style vision--language models without modifying the pretrained model. However,… | IA | Adversarial Robustness in Machine Learning |
| FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? 4 août 2026 | Can large language models generate not just correct, but fast hardware? This paper investigates the question in financial FPGA design, where 5-10 nanoseconds of latency determines… | Computational Theory and Mathematics | Numerical Methods and Algorithms |
| Bridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer Selection 4 août 2026 | Large Language Models (LLMs) perform strongly in English medical tasks but degrade substantially in Arabic, a gap widely attributed to limited training data. We systematically… | IA | Large Language Models |
| SpecFirst: Behavioral Specification Elicitation as a First-Class Step in Agent-Based Program Synthesis from Scratch 30 juillet 2026 | LLM-based agents excel at software engineering tasks where an existing codebase provides context, but constructing a program from scratch remains fundamentally harder. Recent… | Software | Software Testing and Debugging Techniques |
| Evaluating Regional Bias in LLMs From Abstract Stereotype to Concrete Social Decision-Making 30 juillet 2026 | Regional bias in large language models (LLMs) may shape both perceptions of regional groups and decisions about individuals from different regions. Yet existing studies often… | Linguistics and Language | Multilingual Education and Policy |
| Shieldstral 29 juillet 2026 | We introduce Shieldstral, a 3B-parameter policy-adaptive multimodal safety classifier that matches or outperforms models nearly 7$\times$ its size on text safety benchmarks and… | IA | Large Language Models |
| TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs 28 juillet 2026 | Unmanned aerial vehicles (UAVs) have emerged as a key enabler of next-generation Internet of Things (IoT) ecosystems, offering flexible aerial relaying to extend connectivity… | Aerospace Engineering | UAV Applications and Optimization |
| Subject-Level Heterogeneity in EEG Motor Imagery Decoding: A Large-Scale Benchmark and Portfolio-Based Reduction of the Search Space 28 juillet 2026 | Robust EEG motor imagery decoding remains limited by strong inter-individual variability, making it difficult to identify pipelines that generalize across users. We present a… | Neurosciences | EEG and Brain-Computer Interfaces |
| Same Question, Different Answers: Evaluating LLM Reliability Beyond Accuracy 28 juillet 2026 | Large language models (LLMs) often achieve strong accuracy on benchmarks, yet it remains unclear how reliably they apply this knowledge when the same question is phrased in… | IA | Large Language Models |
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.
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