NI TEKNA was also selected and participated at the Wolves Summit in Warszawa, Poland, to present the app ARLOPUS – The synchronous music mobile network. Out of 137.000 startups from the whole world, 3148 were invited to apply with their projects, and finally only 350 startups were selected to come to Wolves Summit 2017, from 50+ countries.
NI TEKNA was among the top 60 European startups (out of 1438 startups who applied), as a semi-finalist at the WebIT Festival in Sofia, Bulgaria, with the app ARLOPUS - The synchronous music mobile network. You can find the finalists here .
The results of the AAIA'16 Data Mining Challenge: Predicting Dangerous Seismic Events in Active Coal Mines were published and NI TEKNA team has scored up to the top 12th place out of 106 entries from the whole world, with only 1,5% difference in the scoring measure from the winning team.
The final results of this challenge were also interesting, as many teams had over-fitted their training models, which resulted in their drastic fall on the rankings in the final results, unlike our team, whose ranking raised from 25th up to 12th place. Again, this shows the generality of our approach that yields more stable models. Hence, we were invited to present our solution at the AAIA’16 conference in Gdansk, Poland.-->
NI TEKNA was selected amongst the first seven companies to be supported by a co-financing grant for a commercialization of an innovation, by the Macedonian Fund for Innovations and Technology Development, for the product ARLOPUS – The synchronous music mobile network.
NI TEKNA was selected and participated at the Web Summit in Dublin, Ireland, to present the app ARLOPUS - The synchronous music mobile network.
Even though we ended on 12th place, we have achieved excellent results in the IJCRS'15 Data Challenge: Mining Data from Coal Mines, as our results are very close with the winning team. With our approach, which is a general one and avoids over-fitting to the training data, we have made a giant leap of 26 places at the ranking between the preliminary and the final ranking (which was according to a completely new set of data). That’s why, our team was chosen among the finalists and we were invited to present our solution at the conference IJCRS'15 in Tianjin, China.
In June 2015 the results of the AAIA'15 Data Mining Competition: Tagging Firefighter Activities at a Fire Scene, were officially published. We are proud that our NI TEKNA team has won the 3rd place, among 79 entries from the whole world. The final results board from the competition can be found here.
May 2014 - NI TEKNA among the top distinguished 6 teams at the AAIA'14 Data Mining competition NI TEKNA team was among the top distinguished 6 teams at the AAIA'14 Data Mining Competition: Key risk factors for Polish State Fire Service that were invited to contribute extended versions of the reports at the CEIM'14 workshop within the AAIA’14 conference. The final results board from the competition can be found here here.
NI TEKNA was part of the team that won the 4th team place at LifeCLEF 2014 competition for plant retrieval task. Petre Lameski participated in the FINKI team that won the 4th team place at LifeCLEF 2014 competition for plant retrieval task. The task was focused on tree, herbs and ferns species identification, based on different types of images.
The Global Security Challenge by Innocentive, Inc. aimed to identify new technologies and top innovations within the security sector that make airports, cities and enterprises safer. Together with our partners Neurologix Security, Inc. we were finalists in 2013 in the Pre-Revenue Category.
September 2011 - Grandma's Games Support During September and October, 2011 NI TEKNA in cooperation with the Faculty of Computer Science and Engineering , University Ss. Cyril and Methodius, Skopje, Macedonia has helped the promotion of the project named Grandma's Games.
In March 2011, NI TEKNA won its first technological developmental project, co-financed by the Ministry of Education and Science of Macedonia , for the project titled WSN Data Management.