Smart city centre of excellence is organising an international challenge to find great research-intensive ideas to be developed and piloted in real urban environments. 71 ideas were proposed, twelve of these were selected to the finals and four projects have been selected for financing.
“To our knowledge, this approach is very unique globally where urban challenges of one country have been systematically mapped and matched with research-based solutions. This process effectively brings the scientific solutions from university labs to the urban streets within 1-2 years,” told the Founding Director of FinEst Twins Smart City Center of Excellence, Ralf-Martin Soe.
Estonian-initiated Garage48 hackathon invites startups and enterpreneurs to build some awesome rpototypes within 48 hours (usually at weekends) to improve the future of the wood, empower the young for green economy and find future solutions with the support of U.S. Embassy.
The unique Soletair demo plant developed by VTT Technical Research Centre of Finland and Lappeenranta University of Technology (LUT) uses carbon dioxide to produce renewable fuels and chemicals. The pilot plant is coupled to LUT’s solar power plant in Lappeenranta and uses solar energy for CO2 extraction and hydrogen producing.
The aim of the project is to demonstrate the technical performance of the overall process and produce 200 litres of fuels and other hydrocarbons for research purposes. This concerns a one-of-a-kind demo plant in which the entire process chain, from solar power generation to hydrocarbon production, is in the same place.
Boston Dynamics, the global leader in mobile robotics, expanded commercial sales of Spot, the agile robot that climbs stairs and traverses rough terrain with ease, to the European Union, United Kingdom and Canada. This follows the launch of commercial sales of Spot in the U.S., and builds upon a successful Early Adopter Program that saw a number of companies in both Europe and North America integrate the robot into their operations.
Machine learning technology is increasingly entering people's daily lives and its application is becoming more extensive, from email filtering and computer vision solutions to forecasting tools and language processing. There are also practical and day-to-day solutions in Latvia that use machine learning methods. Find out what is new in the machine learning industry and interesting solutions for business development at the RIGA COMM Machine Learning Conference on October 15 in Ķīpsala.
“More machine-learning solutions for communication analysis will emerge in the coming years, which will enable everybody to improve daily communication and make brand communication more efficient in any company,” tells Aldis Ērglis, a Machine Learning lab lead at Emergn.
Remote work has become a reality in the wake of the pandemic crisis, so the need for smart technology solutions for human resources (HR) is becoming more and more important. Learn about the latest solutions for efficient personnel management available on the market at the RIGA COMM conference “Smart HR” on 15 October, but in the meantime the organisers offer an insight into some of the solutions developed in Latvia.
Bugatti has stood for innovative, extraordinary and timeless automotive design for more than 110 years. For the French luxury brand, design development is both a key competence and a highly complex task. Bugatti has been intensively working on virtual design processes with photorealistic 3D animations since 2016 in order to master this challenge in the age of digital transformation. The design team under Achim Anscheidt has already digitalized more than 90 percent of the creative model development process and has thus established a paradigm shift in design creation.
On the end of January the University of Tartu and Bolt presented the test car procured for the University of Tartu’s autonomous driving lab. This high-technology vehicle will be used for experiments in several research and development fields. The aim is to conduct test runs in urban traffic this year already.