Author
Ulrik Stig Hansen
Ulrik is the President & Co-Founder of Encord. Ulrik started his career in the Emerging Markets team at J.P. Morgan. Ulrik holds an M.S. in Computer Science from Imperial College London.
In his spare time, Ulrik enjoys writing ultra-low latency software applications in C++ and enjoys experimental sushi making.
All blogs by Ulrik Stig Hansen
Training Computer Vision Models to Track Rented Assets
6 m
Using Computer Vision to Prevent Falls in Care Homes and Hospitals
7 m
Encord at ICLR 2025
Accurately Measuring Carbon Content in Forests
Finding a Reliable Ecosystem to Scale Model Development
How Harvard Medical School and MGH Cut Down Annotation Time and Model Errors with Encord
Transforming Fruit and Vegetable Harvesting & Analytics with Computer Vision
Accelerating Diagnosis to Treatment with Encord
Meet Mavis - Product Design Lead at Encord
Meet Rad - Head of Engineering at Encord
3 m
Recap 2024 - An Epic Foundational Year
5 Ways to Improve The Quality of Labeled Data
8 m
Recap: AI After Hours - Physical AI (Special Edition)
Providing Computer Vision Infrastructure for Project Stormcloud
2 m
Spirit LM: Meta AI’s Multimodal Model for Seamless Text and Speech Generation
What the European AI Act Means for AI Developers
30 m
Exploring Google DeepMind's Latest AI Innovations: Gemini 2.0, Veo 2, and Imagen 3
SAM 2.1 Explained: Smarter Segmentation and Developer Tools For the Future
Generative AI is overrated, long live old-school AI!
5 m
The Full Guide to Outsourcing Data Labeling for Machine Learning
12 m
Object Detection: Models, Use Cases, Examples
4 m
How to Start a Computer Vision Startup
10 m
6 Use Cases for Computer Vision in Insurance
10 m
Key Insights from the Inaugural AI After Hours
What the European AI Act Means for You, AI Developer [Updated December 2023]
11 m
Why AI Is the Mother of All Unicorns
4 m
What Is Computer Vision In Machine Learning
5 m
Encord as a Step Up from CVAT + Voxel51: Why Teams Are Making the Switch
What is Embodied AI? A Guide to AI in Robotics
The Full Guide to Training Datasets for Machine Learning
10 m
A Guide to Speaker Recognition: How to Annotate Speech
Boosting Last-mile Model Performance: Increase mAP by 20% while reducing your dataset size by 35% with intelligent visual data curation
Rapid Annotation & Flexible Ontology for a Sports Tech Startup
10 m
How King's College London used Encord to annotate videos 6.4x faster
3 m
How Surgical Data Science Collective (SDSC) Conducted Video Annotation 10x Faster
Improving Efficiency in the Construction Industry with Encord
Accelerating the Prediction of Consumer Behaviour with Encord
Reducing Model False Positive Rate from 6% to 1% with Vida ID
8 m
Floy Reduced CT & MRI Annotation Time with AI-Assisted Labeling
7 m
Saving the Honey Bees with Computer Vision
3 m
Reducing MRI and CT Annotation Time by 70% for Rapid AI
5 m
Customer Interview: Overcoming The Mental Torture of Manual Data Labelling
7 m
Building Multimodal AI Systems for Insurance with Tractable
3 m