The Waterlight lamp was awarded a Silver Cannes in the design category and two bronzes in innovation and social responsibility, at the Cannes Lions International Festival of Creativity 2021 held in France. Read More
This equipment would help tackle the increase of electricity bills during the summer. They are based on using thermo-solar panels to cool the room. Read More
The Institute of Corpuscular Physics (IFIC, UV-CSIC) has launched the DIRAC project with the support of the AVI and with the collaboration of the FISABIO Foundation and the Polytechnic University of Valencia. Aimed at developing a technological system based on Artificial Intelligence (AI), the project will improve the interpretation of medical images and can be applied in hospitals, clinics and health centres. Read More
A study by the Faculty of Physiotherapy of the University of Valencia (UV), in collaboration with the Autonomous University of Madrid, has shown that a physiotherapy programme that uses the Nintendo Wii console improves the functionality, balance and daily activities of patients who have suffered a cerebrovascular accident or stroke. The research, published in the Journal of the American Medical Directors Association (JAMDA), uses an innovative and efficient, low-cost method compared to more conventional physiotherapy techniques.
An international research team, with the participation of the Institute of Molecular Science of the University of Valencia (ICMol), has discovered how to control spin waves using light in an insulating material formed by magnetic layers. It is a step towards a new generation of devices that store and transport information in a highly efficient way and with very low consumption. The work has been published in Science Advances. Read More
The goal of NEO-MAPP is to make further progress in understanding how an asteroid responds when it hits a spacecraft launched at high speed, and how an asteroid responds to a close flyby of a planet. Read More
Researchers from the University establish a new methodology to improve, from space and through machine learning, the observation and analysis of the terrestrial biosphere. This statistical approach will represent a significant advance in monitoring crops and carbon sinks, as well as in predicting floods and droughts. The work has been published in the journal Science Advances. Read More