AI Day brings top AI experts together once a year to discuss what is current in AI research in Finland. This is also an excellent opportunity to meet with potential new recruits.
FCAI Industry and Society events identify and work on themes based on the common needs of companies and researchers, with the goal to generate collaborative research projects.
AIX Forum addresses sector-specific AI challenges, applications and innovations.
Machine Learning Coffee Seminars weekly dive into a current research topic related to ML.
FCAI researchers have recently developed two fast AI methods for grasping objects with multi-finger robotic hands, bringing us closer to the practical use of multi-finger robotic hands. Read More
The digital assistant EntityBot could help make computer usage easier by making suggestions based on the user’s actual needs, such as recommending relevant information. Read More
Big data analytics, machine learning and AI have created unprecedented possibilities for using data in a way that benefits us all – but there are also many possibilities for doing harm. Read More
Researchers at FCAI have developed models for transforming speech to text by automatic speech recognition. Read More
Researchers at FCAI have developed a machine learning-based method that can produce research data synthetically. The application is based on a method that allows academics and companies to share data with each other without compromising the privacy of the individuals involved in the study. Read More
Researchers from the University of Helsinki are developing a positioning system based on machine learning and an increasingly accurate and inexpensive navigation solution. Read More
Yield Systems aims to have a significant sustainable impact on the global food system by creating cost efficient AI capabilities for plant breeding and speeding up the development of crop yields and adaptation to climate change. Read More
Researchers in Helsinki have developed an artificial intelligence based spectral imaging technology that will make color determination accurate, universally true and accessible to everyone with a smartphone. Read More