In the coming years, the network in neuroscience research will focus its efforts on the development of digital solutions and innovations. The network’s new project, with a budget of over €880,000, has received substantial EU funding for the term 2021–2023.
Fusion energy is no longer a project for the distant future. The current official EU aim is 35 years, and with AI methods, fusion is here even faster than what otherwise would be possible.
Samuel Kaski was awarded the Turing AI World-Leading Researcher Fellowship to establish a new center of excellence.
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.
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.
A research team from Helsinki and Copenhagen demonstrates it is possible to predict individual preferences based on how a person’s brain responses match up to others. This could potentially be used to provide individually-tailored media content — and perhaps even to enlighten us about ourselves.
Machine learning methods help researchers follow social media promotions of addictive products to teenagers and young people.
A new computational model precisely replicates the eye and finger movements of touchscreen users - could lead to better auto-correct and keyboard usability for unique needs.
European Learning and Intelligence Systems Excellence (ELISE) has published its Strategic Research Agenda, setting out a roadmap for European leadership in the development of safe and effective AI systems.
The new algorithm is already being taken into use in a dedicated open source library released by Google and to an open source library developed by FCAI researchers. [...]
Researchers develop better way to determine safe drug doses for children. New research on organ maturation models could lead to improvements in drug development. [...]
The ability to distil images to their most essential components and anticipate new scenes is what could drive computer vision and robotics forward. [...]
By combining old clinical specimens and new technology, it was determined that Enterococcus faecalis, a pathogen well known for hospital-acquired infections, has adapted to hospital conditions already in mid-nineteenth century – long before the first modern hospitals were built. [...]
DataLit wants to raise awareness about the need for data literacy. It approaches this by busting myths and common misunderstandings about data. [...]
AI-Mind is a 5-year project funded by Horizon 2020, with the goal of facilitating a paradigm shift in clinical practice of mild cognitive impairment. A team of Aalto University and HUS Helsinki University Hospital researchers are involved in the project. [...]
The magazine pays tribute to the development of a model that starkly reduces the amount of data needed for generating new, artificial images. [...]
Questions regarding the ethics of artificial intelligence provoked a lively discussion in Finland’s largest science event The Science Forum. [...]
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. [...]
Researchers from the University of Helsinki are developing a positioning system based on machine learning and an increasingly accurate and inexpensive navigation solution. [...]
Scientific Advisory Board 2020 congratulates HIIT for its excellent track record of outstanding researchMia Paju2021-01-12T10:11:57+02:00
HIIT's activities and plans were reviewed by the Scientific Advisory Board (SAB) consisting of internationally prominent scholars invited by the HIIT Board. [...]