Advanced machine learning solutions
for modeling complex systems
Bias Variance Labs (BVLabs) facilitates the data-to-discovery process by focusing on cutting-edge approaches from artificial intelligence and data science. More specifically, BVLabs provides state-of-the-art solutions that address all aspects of the data life cycle, which include data storage, data stewardship, data and knowledge representation, machine learning and visualization. The application domains include space research, healthcare, medicine, and ecology. The BVLabs core team consists of established researchers and experts with long-standing experience in designing, developing and applying cutting-edge AI methods for modeling and understanding complex and dynamic systems.
AI Toolbox for Earth Observation
AiTLAS focuses on designing and developing a platform that implements state-of-the-art AI methods for analysis of satellite images. The utility of AiTLAS will be demonstrated in three use-cases: (1) Benchmark repository of datasets, (2) Maya archaeological sites location, and (3) crop type prediction for Slovenia, Netherlands and Denmark.
Machine Learning for Spacecraft Operations
GalaxAI focuses on designing and developing software prototypes that implement state-of-the-art machine learning methods and follow the best machine learning practices in order to deliver prototypes for Mars Express (MEX) Thermal Power Consumption Forecast and Integral Radiation Belts Crossing Prediction.
Value estimation of used products
Contractor: Eligma d.o.o
We designed and developed machine learning methods that accurately predict the price of used products. These methods are part of the Eligma platform.
Bias Variance Labs, d.o.o.
Trg komandanta Staneta 8,
Bias Variance Labs, LTD
20-22 Wenlock Road,
N1 7GU London,