The Smart Parts Detector (SPD) project aims at developing a SHOP4CF component to facilitate optical parts recognition; an essential capability for any Manufacturing SME transitioning their operations into the 4th Industrial Revolution. Crucially, the SPD component leverages Deep Learning (DL) technology for optical identification and detection of small parts, shifting away from classical image processing and computer vision […]
We’re happy and excited to announce our SmartPartsDetector project is one of the 14 FSTPs to be funded by the SHOP4CF EU project. Algolysis Ltd and ENGINO-NET Limited have teamed up to design and implement SmartPartsDetector, a new component for the SHOP4CF project that enables manufacturing SMEs of small parts to optically identify their parts […]
We are proud to be part of the Coronasurveys Project team and be among the 10 best teams in the XPRIZE Pandemic Response Challenge: https://www.businesswire.com/news/home/20210309005419/en
We are excited to kick-off our new European Innovation Associate Program PREFAIL (957149) on the 28th of February 2021, and welcome Dr. Marko Krstic to the Algolysis team! With the assistance of Dr. Marko Krstic, we will study innovative Machine Learning algorithms to extend our cloud-based storage device monitoring service (DriveNest – www.drivenest.com) with robust […]
HuffPost talks about our collaboration with Marianne Katsoyannou on the greek COVID-19 dictionary: https://www.huffingtonpost.gr/entry/e-chrese-tes-ylossas-sten-epoche-tes-pandemias_gr_6039001fc5b6b745c4b66920?fbclid=IwAR3M7zZ-rQKHQJcfyBVjZfxkH_PyAyXSpDUjdQhrbrgVXkx5XV4tIAar-xs
We are seeking an experienced Researcher in Machine Learning (R2/R3) who will lead the development of reinforcement learning methodologies for failure prediction on storage devices monitored by our flagship DriveNest (www.drivenest.com) platform. This is a 12-month, Full-time position with a competitive salary and a relocation package supported through the competitive European SME Innovation Associate programme […]
An article in the e-portal Dialogos.com.cy presents and explains the ideas behind the #COVID19 glossary which was created and curated by Assoc. Prof. Marianne Katsoyannou and the Biologist Zoe Stephanidou, while the software was developed by Algolysis. The glossary is hosted at Algolysis’s #COVID19 platform covid19.algolysis.com. Click the link for the complete article: https://dialogos.com.cy/to-glossari-tis-pandimias
Our platform is now updated to present the worldwide spread of the #COVID19. New visualisations and statistics are added to provide a better insight of the current status of the spread worldwide. Visit: covid19.algolysis.com
We developed a data platform for continuous monitoring and statistics generation on the evolution and spread of #COVID19 #SARsCoV2 across the districts of Cyprus. Help us keep the platform up to date! https://covid19.algolysis.com
Proud to present Algolysis Ltd and our current projects to the partners of the MARI-Sense project consortium. MARI-Sense employs smart management, spatial planning, and agile response measures to help preserve the natural environment, securing society, and ensuring economic growth. Its cognitive systems work in synergy with human operators to “make sense” of the maritime environment. […]
We are seeking a motivated Researcher with expertise in Computer Science (or related area) to join our small, but very efficient and hands-on team. Click here for more details on how to apply.
An article in the e-portal Paideia-News presents and explains the ideas behind the Algolysis hosted project COLLABORATE. Click the link for the complete article: https://tinyurl.com/yy35enep
We are very pleased to announce that our project proposal Safeguarding the Cultural HEritage of Dance through Augmented Reality (SCHEDAR) to the JPICH Digital Heritage Call supporting transnational research has been one of the 8 successful proposals! The project has commenced in June 2018 and will run for 3 years. Our role in the project […]
Algolysis Ltd. has secured research and innovation funding through the Ministry of Energy, Commerce, Industry and Tourism of Cyprus for furthering the implementation of DriveNest (www.drivenest.com), our predictive storage device monitoring service. We will now be accelerating development, so stay tuned for updates 🙂
