We work only on difficult problems combining stochastic algorithms with powerful AI and ML tools to provide expert consulting for real-world business applications:
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Three Projects on the Data Challenges of the Large Hydron Collider
High Energy Physics researchers and the mobility industry face similar challenges while both share Real-Time Analysis (RTA) as a solution. The Large Hydron Collider /CERN
Machine Learning for Seafloor Geology
An introductory niche project regarding data analysis for the Geological Survey of Sweden (SGU) based on marine geology footage, pointing to future directions and research
AstraZeneca ML cell identification project
The problem: Cell biologists in their effort to correctly identify individual cells, must use different chemicals on cell samples. There are 2 serious downsides to
Cities, Swedish National Space Agency Covid-19 project
Due to public health concerns, the city of Malmo, Sweden and other municipalities, want to be able to access public outdoor spaces in real-time and
Gothenburg Traffic Lights project
Ximantis demonstrated the power of its predictive traffic technology by applying its advance analytics tools to Gothenburg, Sweden traffic lights environment. The pilot project included
CERN collaborates with Ximantis on particle-traffic prediction challenges
CERN, the European Organization for Nuclear Research based near Geneva, Switzerland, is best known as maker of the Large Hadron Particle Collider (LHC), a 16-mile
What are your Toughest Challenges?
REFERENCES
Grow your revenues using the power of Machine Learning and AI
• Adform: Real-Time Bidding optimized auction algorithm
• CERN / Nvidia: predict and filter valued data