Country of the labs · world rank 32
AI research: Norway
Located papers
410
This month
0
Subjects covered
188
This page only covers the 410 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: Norway
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
Explainable Artificial Intelligence (XAI)
AI
Reinforcement Learning in Robotics
AI
Large Language Models
AI
Adversarial Robustness in Machine Learning
AI
Natural Language Processing Techniques
AI
Advanced Neural Network Applications
Vision
Advanced Graph Neural Networks
AI
20 most recent papers
Latest ingests
| Paper | Abstract | Theme | Topic |
|---|---|---|---|
| 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 |
| Disentangling Homophily and Rarity: Explaining Failure in Graph Neural Networks 18 August 2026 | Are heterophilic nodes in a graph harder to classify because they are heterophilic or because they are rare? Some existing work frames classification of such nodes as a subgroup… | AI | Advanced Graph Neural Networks |
| Adaptive Post-Processing Drives Instance-Level Detection in Stroke Lesion Segmentation 18 August 2026 | Instance-level lesion detection has been an increasingly larger focal point in medical image segmentation besides the more standard voxel-level overlap. Still, most pipelines are… | Vision | Advanced Neural Network Applications |
| 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 |
| Decomposing Whole Slide Image Report Generation with Graph-Constrained Multiple Instance Learning Workflows 18 August 2026 | Whole-slide image (WSI) report generation requires recognizing spatially distributed pathological features and organizing them into a coherent diagnostic narrative. Although… | Vision | Multimodal Machine Learning Applications |
| RecurrentGPT: Expressive Depth through Recurrent Modulation in Transformers 18 August 2026 | Scaling transformer language models creates an inherent tension between expressivity and memory efficiency. While unique weights across layers preserve functional… | AI | Large Language Models |
| Registration-Free Hyperspectral Reconstruction from RGB via a Permutation-Invariant Gram-Matrix Principle 18 August 2026 | Reconstructing a spatially and spectrally high-resolution hyperspectral image (HR-HSI) from a low-resolution HSI (LR-HSI) and a high-resolution RGB image (HR-RGB) usually assumes… | Media Technology | Remote-Sensing Image Classification |
| Weakly Supervised Polar Low Segmentation in Sentinel-1 SAR Imagery 17 August 2026 | Polar lows are intense maritime cyclones that form rapidly at high latitudes. Deep learning can detect them in Synthetic Aperture Radar (SAR) imagery, but pixel-level segmentation… | Aerospace Engineering | Advanced SAR Imaging Techniques |
| CAST: Closed-form Analytic Semantic Transfer for Zero-Shot Classifier Extension 17 August 2026 | Large pre-trained models have become foundational components of modern machine learning systems. Yet adapting these models to novel categories typically requires examples from the… | AI | Domain Adaptation and Few-Shot Learning |
| Removing Infrastructure Barriers in Human-Robot Collaboration Through Wireless Reconfigurable Cells 11 August 2026 | Human-Robot Collaboration (HRC) plays a vital role in dynamic, high mix, low volume industrial scenarios such as remanufacturing, which frequently face workcell rearrangements.… | Networks | IoT and Edge/Fog Computing |
| A Human-in-the-Loop Deep Learning Framework for Color Reconstruction of Lenticular Films 5 August 2026 | Historical lenticular films, such as those created with the Kodacolor process, encode color information in a distinctive spatial format. This structure requires specialized… | Vision | Image Enhancement Techniques |
| Memory for Large Language Models 29 July 2026 | Memory has evolved into a foundational architectural dimension in large language models (LLMs), shifting from an implicit byproduct of computation to a spectrum of explicit,… | AI | Large Language Models |
| Latent PDE mapping for efficient physics-informed learning across geometries with limited data 27 July 2026 | In this study, we introduce latent PDE mapping, a broadly applicable physics-informed learning technique designed to enable efficient geometric generalization with sparse training… | Stat. physics | Model Reduction and Neural Networks |
| AISE-Bench: A Full-Cycle Curated Benchmark for Information Seeking on Academic Knowledge Graphs 24 July 2026 | Large language models (LLMs) augmented with tools are emerging as autonomous agents capable of using Web engine, APIs, and code to solve complex, long-horizon tasks. Current… | AI | Advanced Graph Neural Networks |
| The Two-Process Theory of Machine Self-Report 23 July 2026 | Language models are increasingly asked to self-report, informing safety evaluations, public understanding, and model-welfare debates. Yet their reports are elicited with human… | AI | AI in Service Interactions |
| A Unified Variational Framework for Deep Weakly Supervised Image Segmentation 23 July 2026 | We propose a unified variational framework for image segmentation under sparse pixel-level supervision. Our method is based on a simplex-constrained Potts model with a smooth… | Vision | Medical Image Segmentation Techniques |
| 1-Lipschitz Neural Networks on Hadamard Manifolds 22 July 2026 | Controlling the Lipschitz constant of a neural network is a standard way to promote robustness and stability. Most existing constraining strategies are designed for Euclidean… | AI | Stochastic Gradient Optimization Techniques |
| Now We Know? A Systematic Comparison of TerraMind and THOR 22 July 2026 | Benchmarks for Geospatial Foundation Models (GFMs) increasingly rank models by aggregate score, but such rankings obscure why models differ: how much of the gap is architecture,… | Geography, Planning and Development | Geographic Information Systems Studies |
| SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark 21 July 2026 | Understanding human emotions in spoken conversations is a key challenge in affective computing, with applications in empathetic AI, human computer interaction, and mental health… | Experimental and Cognitive Psychology | Emotion and Mood Recognition |
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.