The society of Automotive Engineers or SAE as they are better known have published a paper jointly authored by ∂RISK and Hitachi Europe. The paper is titled “Virtual Verification of Decision Making and Motion Planning Functionalities for Automated Vehicles in Urban Edge Case Scenarios” [2022-01-0841] Despite recent advancements in Automated Driving Systems (ADS), the deployment […]
We are delighted to announce that we have been awarded stand space at this years Consumer Electronics Show in Las Vegas (CES 2022). CES is highly regarded and the world’s largest and most influential technology show. The British government’s grant funding agency, Innovate UK ran a competition looking for companies that would show case the […]
We are honoured and delighted to have been successful in our application to be part of the 2021 Intel Ignite program. This prestigious global start up program run by the American multinational technology company Intel is highly regarded in the technology and innovation space. After some challenging interviews and pitches, we are proud to have […]
After almost 18 months without any UK based physical events to attend, Chess, Nils and Rav proudly demonstrated dRISK’s ground breaking work at CENEX LCV/CAM. This is the UKs biggest Connected and Autonomous Mobility event held from the 20th to the 23rd September, at the UTAC Millbrook facility in Bedford. The UK government invited us […]
The IAA mobility show in Munich was the first in-person industry event for dRISK after the global pandemic. CEO Chess Stetson and lead engineer Nils Goldbeck had productive meetings with customers and received lots of new interest for dRISK’s knowledge graph solutions that help AV developers and OEMs to train and test on edge cases. […]
dRISK’s excellent relationship with the UK Department for International Trade continues and we are delighted to have been featured in the latest UK Mobility Landscape paper written by Tina Jager (DIT Germany). The UK mobility landscape is constantly evolving and growing. In terms of the number of cars being sold, the UK is the most important […]
AI Engineer. Federico completed his MSc in Artificial Intelligence at the University of Edinburgh in 2021, with an emphasis on Deep Learning applied to Natural Language Processing and Computer Vision. His dissertation focused on developing an Unsupervised Synthetic Data Generation architecture with Unity, to generate synthetic data that closely resembles a set of real data, and can be used to train Computer Vision models. Prior to this, he earned an MSc in Mechanical and Industrial Engineering at Arts et Métiers ParisTech in France.
