Country of the labs · world rank 3
AI research: United Kingdom
Located papers
5,251
This month
0
Subjects covered
627
This page only covers the 5,251 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 Kingdom
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
Ethics and Social Impacts of AI
Safety Research
Reinforcement Learning in Robotics
AI
Domain Adaptation and Few-Shot Learning
AI
2D projections of the embeddings
Semantic map
The 100 papers from this country present in the sample of 2,000 projected papers. Two papers close on the map have close content: the clusters show which research families this country actually occupies.
20 most recent papers
Latest ingests
| Paper | Abstract | Theme | Topic |
|---|---|---|---|
| Q-based Variational Inverse Reinforcement Learning 18 August 2026 | The development of safe and beneficial AI requires that systems can learn and act in accordance with human preferences. However, explicitly specifying these preferences by hand is… | AI | Adversarial Robustness in Machine Learning |
| Improving the matrix multiplication exponent with modern optimization and AlphaEvolve 18 August 2026 | The current best bounds on the matrix multiplication exponent $ω$ are obtained through a refinement of the laser method called combination loss analysis (Duan et al., 2022;… | Computational Mathematics | Tensor decomposition and applications |
| CaliBench: Are the Stochastic Dynamics of Video World Models Physically Calibrated? 18 August 2026 | Video world models approximate the stochastic distribution of physical outcomes through generative sampling, but existing benchmarks score individual generations or compare… | Vision | Generative Adversarial Networks and Image Synthesis |
| Advancing Open and Reproducible Relational Learning: RelArena-$α$, TabPFN-Rel and RPI 18 August 2026 | This first release of Prior Labs in relational learning shows our continued commitment to open science. We open-source three pieces of software that we expect to accelerate… | AI | Advanced Graph Neural Networks |
| Foresight-England: Development of a National-Scale Generative AI Model of Electronic Health Records for Medical Event Prediction across the COVID-19 Pandemic 18 August 2026 | Foresight-England (Foresight-E) is the first national-scale generative foundation model of electronic health records (EHRs), developed as a research pilot strictly for COVID-19… | AI | Machine Learning in Healthcare |
| Characterising cardiac tissue properties with graph neural networks 18 August 2026 | Characterising electrophysiological properties of cardiac tissue efficiently and accurately from spatially sparse intracardiac measurements is clinically important for localising… | Cardiology and Cardiovascular Medicine | Cardiac electrophysiology and arrhythmias |
| CrevasseSeg: A Label-Efficient UAV Crevasse Segmentation Framework 18 August 2026 | Crevasse mapping from uncrewed aerial vehicle (UAV) imagery matters for glaciological research and for field safety in glaciated terrain. Yet, pixel-level annotation of glacier… | Vision | Advanced Neural Network Applications |
| Generalised Transportability via Causal Abstractions 18 August 2026 | Transporting a causal conclusion from a source study population to a target one is a fundamental problem in causal inference. The theory of transportability provides a criterion… | AI | Bayesian Modeling and Causal Inference |
| Quantum Models with Multi-Stage Training for Compositional Concept Generalization 18 August 2026 | Compositional Concept Generalization (CoCoGen), the ability to systematically recombine learned primitives in novel contexts, is a key challenge for multimodal learning. In this… | AI | Quantum Computing Algorithms and Architecture |
| Kozuchi Agent: A Language-Agnostic Open-Weight Agent for Software Repair 18 August 2026 | Industrial software-engineering teams increasingly need LLM agents that turn bug reports into correct patches, yet benchmark-scale operation adds long horizons, tool-use… | Info systems | Software Engineering Research |
| A Unified Geometric Framework for Developmental Analysis of Spatial Transcriptomic Data 18 August 2026 | High-throughput single-cell and spatial transcriptomic technologies provide high-resolution snapshots of heterogeneous cellular states, but their destructive nature prevents… | Molecular Biology | Single-cell and spatial transcriptomics |
| Decision-Driven Regularization: A Blended Model for Learning and Optimization 18 August 2026 | In contextual optimization, the decision-maker seeks optimal decisions to minimize a cost function, that varies based on observed features. This context is common in many business… | Operations res. | Advanced Bandit Algorithms Research |
| PathFinder: Joint Decompositions of Linked Multimodal Datasets 18 August 2026 | Low-rank matrix decompositions can uncover patterns and structure in data and have a number of different applications across many disciplines. Extensions to "joint" low-rank… | Computational Mathematics | Tensor decomposition and applications |
| Emergent Misaligned Communication in Long-Horizon Multi-Agent LLM Commerce 18 August 2026 | Frontier LLM agents increasingly transact on behalf of separate principals, often using natural language rather than structured APIs. Much of the safety literature studies… | AI | Adversarial Robustness in Machine Learning |
| Neurosymbolic Embodied Agents 18 August 2026 | Language and vision-language models generate plausible embodied plans but do not guarantee executability, as their outputs can violate environment dynamics or act on incorrectly… | Vision | Multimodal Machine Learning Applications |
| SQuad: Sub-Quadratic Attention Distillation for Efficient Video Generation 18 August 2026 | Video Diffusion Transformers (DiTs) spend most of their compute inside the Self-Attention operation, whose cost grows quadratically, $\mathcal{O}(n^2)$, with the number of latent… | Vision | Generative Adversarial Networks and Image Synthesis |
| Supervising the Path to Fine Scales: GalerkinFlow for Scientific-Field and Image Super-Resolution 18 August 2026 | Most super-resolution models learn from paired data by supervising only the final high-resolution output. This provides little control over how the prediction should evolve… | Vision | Advanced Image Processing Techniques |
| Listen, Reason, and Segment: Aligning LALMs with Editorial Judgment for Media Chapterization 18 August 2026 | Large Audio Language Models (LALMs) have made rapid progress on standardized benchmarks, yet their deployment in practical media workflows, curation, archival indexing, and… | Signal Processing | Music and Audio Processing |
| IndicQE-APE: A Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages 18 August 2026 | Indic quality estimation (QE) and automatic post-editing (APE) data is spread across separate releases, so no single resource supports training and evaluation across tasks and… | AI | Natural Language Processing Techniques |
| $R^3$-Bench: LLMs Struggle with Resource-Rational Reasoning under Shared Budgets 18 August 2026 | In cognitive science, resource rationality asks how an agent should allocate limited computation to maximize expected value. Most reasoning and agent benchmarks use independent… | Neuroscience | Neural and Behavioral Psychology Studies |
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.
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