
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.


June 5, 2023
Montblanc | Applying data science to enhance resource efficiency in manufacturing processes
Montblanc | Applying data science to enhance resource efficiency in manufacturing processes
As we endeavor to reduce global CO2 emissions to avoid the worst impacts of climate change, Bühler Group is laying the technical foundations to make real impacts on the industry’s emissions through an innovative approach to optimizing manufacturing operations.
Blog


February 28, 2023
DLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging
DLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging
Optoacoustic imaging is a new, real-time feedback and non-invasive imaging tool with increasing application in clinical and pre-clinical settings. The DLBIRHOUI project tackles some of the major challenges in optoacoustic imaging to facilitate faster adoption of this technology for clinical use.
Blog


November 14, 2022
LeafSim | An example-based XAI for decision tree based ensemble methods
LeafSim | An example-based XAI for decision tree based ensemble methods
LeafSim is an example-based explainable AI (XAI) technique for decision tree-based ensemble methods, explaining model predictions by identifying training data points that most influence a given prediction.
Blog


November 1, 2022
SEMIRAMIS | A new approach to AI-Augmented architectural design
SEMIRAMIS | A new approach to AI-Augmented architectural design
As the world’s cities continue to grow, land is becoming increasingly scarce. However, open space is vital in urban areas. Semiramis is a new approach to AI-augmented architectural design, allowing designers a quick and easy selection of feasible performance values and a qualitative evaluation of the generated geometries.
Blog


September 23, 2022
What you see is what you classify: black box attributions
What you see is what you classify: black box attributions
The lack of transparency of black-box models is a fundamental problem in modern Artificial Intelligence and Machine Learning. This work focuses on how to unbox deep learning models for image classification problems.
Blog


October 28, 2021
DEAPSnow | Supporting avalanche forecasting in the Swiss Alps using machine learning
DEAPSnow | Supporting avalanche forecasting in the Swiss Alps using machine learning
The creation of avalanche bulletins is still a largely expert-driven and manual task. DEAPSnow aims to explore the feasibility of using data-driven models to support the process of avalanche danger forecast.
Blog
Contact us
Let’s talk Data Science
Do you need our services or expertise?
Contact us for your next Data Science project!