Most of the images shared by major health agencies (NHS, CDC, WHO, IFRC) relate to preventive measures, health advisories, gratitude and resilience of front-line workers.
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.
Cities and transport are major contributors to CO2 emissions. FCAI’s recent webinar brought industry and academia together to discuss the need for new sustainable solutions, enabled by artificial intelligence.
Available on Spotify.
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.
With the support of Saab, doctoral student Lassi Meronen is developing models for deep learning that can be used, for example, in radars and medical diagnosis..
A new computational model precisely replicates the eye and finger movements of touchscreen users.
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 core functions in the Internet have traditionally been designed to support high throughput. However, an increasing number of Internet services such as Web or Web-based applications and most interactive applications are sensitive to network latency.
Helsinki University, Aalto University and VTT establish together InstituteQ, The Finnish Quantum Institute to coordinate quantum science and technologies.
The ability to distil images to their most essential components and anticipate new scenes is what could drive computer vision and robotics forward. [...]
An extensive international study has discovered features related to the origin and evolution of the Enterococcus faecalis bacterium which have enabled it to survive in spite of advances associated with antibiotics and infection control in hospitals.
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. [...]
An AI generates personally attractive images by reading brain data
Licence agreement concluded with the University of Helsinki
DataLit wants to raise awareness about the need for data literacy. It approaches this by busting myths and common misunderstandings about data. [...]
