Country of the labs · world rank 23
AI research: United Arab Emirates
Located papers
603
This month
0
−100% vs previous month
Subjects covered
190
This page only covers the 603 papers with at least one laboratory traced to this country, between 27 October 2025 and 18 August 2026. It is not the entire output of the country.
This is the country of the laboratory, never the nationality of individuals. A paper co-signed from several countries counts in each of them. Coverage is partial and the gap is not random: a researcher whose institution is unknown usually publishes little, which over-represents established labs.
Volumes by domain
What this country works on: United Arab Emirates
Themes and topics are not invented here: every paper is mapped onto the OpenAlex classification, the open catalogue that indexes the world's scientific research (domain › field › theme › topic hierarchy). Click a theme to break it down into its main topics.
Rising phrases - last 30 days
Emerging signals
Phrases appearing markedly more often than usual in this country's papers. Because a national corpus is far smaller than the global one, the selection threshold is proportional to its volume: percentages are jumpier, and a term can rise on a handful of papers.
No signal computed yet - the burst detection workflow has not run.
Most active subjects - 12 months
Trajectories
Topics taken from the OpenAlex scientific classification.
Multimodal Machine Learning Applications
Vision
Large Language Models
AI
Generative Adversarial Networks and Image Synthesis
Vision
Adversarial Robustness in Machine Learning
AI
Explainable Artificial Intelligence (XAI)
AI
Natural Language Processing Techniques
AI
Advanced Graph Neural Networks
AI
Domain Adaptation and Few-Shot Learning
AI
20 most recent papers
Latest ingests
| Paper | Abstract | Theme | Topic |
|---|---|---|---|
| ARISE: An adaptive residual-informed stability ensemble for feature selection in small-sample biomedical omics 18 August 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 August 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 August 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 August 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 August 2026 | Existing safety evaluation datasets for large language models (LLMs) predominantly focus on English and Western contexts, often overlooking the linguistic diversity and culturally… | AI | Adversarial Robustness in Machine Learning |
| BRUCE: Benchmarking Robustness Under Corruption Escalation for Scientific Vision-Language Reasoning 11 August 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 August 2026 | To adopt the Vision Transformers (ViTs) in resource-constrained environment, token pruning is widely used to reduce computational cost without impacting accuracy. However,… | AI | Adversarial Robustness in Machine Learning |
| A Survey of Adversarial Efficiency Degradation for Vision Transformer by Exploiting Input-adaptive Optimization 6 August 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… | AI | Adversarial Robustness in Machine Learning |
| ToolArtist: Tool-Using Unified Multimodal Models for Agentic Image Generation 6 August 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 August 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 August 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 August 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,… | AI | Adversarial Robustness in Machine Learning |
| FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? 4 August 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 August 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… | AI | Large Language Models |
| SpecFirst: Behavioral Specification Elicitation as a First-Class Step in Agent-Based Program Synthesis from Scratch 30 July 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 July 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 July 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… | AI | Large Language Models |
| TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs 28 July 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 July 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… | Neuroscience | EEG and Brain-Computer Interfaces |
| Same Question, Different Answers: Evaluating LLM Reliability Beyond Accuracy 28 July 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… | AI | Large Language Models |
Lab countries - last 90 days
Other countries
The world ranking as it appears on the dashboard. Click another country to open its page.
- United States38% · 26,375 papers
- China33% · 22,828 papers
- United Kingdom7.5% · 5,251 papers
- Germany7.2% · 4,984 papers
- India4.6% · 3,181 papers
- Canada4.5% · 3,159 papers
- France4.1% · 2,865 papers
- South Korea4.1% · 2,859 papers
- Hong Kong SAR China3.2% · 2,247 papers
- Japan3.2% · 2,234 papers
- Australia3.1% · 2,160 papers
- Italy2.9% · 1,987 papers
- Singapore2.8% · 1,952 papers
- Switzerland2.3% · 1,611 papers
Click a country to see only its research
Across 69,649 papers with at least one lab located, i.e. 76% of the 91,354 papers fully processed between 27 October 2025 and 21 August 2026. 167 countries represented.
This is the country of the laboratory, never the nationality of individuals. A paper signed from several countries counts for each of them, so the shares add up to more than 100%. Coverage is partial and the gap is not random: a researcher whose institution is unknown usually publishes little, which over-represents established labs.
The digest by email
Get the digest
One email on Monday morning: what moved in AI research last week. No spam, one-click unsubscribe.