Machine learning revolutionises methodologies to quantify the terrestrial biosphere

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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

Researchers develop high-sensitivity system to detect SARS-CoV-2 in the air

By | Biomedicine and Health, COVID-19, Technology | No Comments

Researchers from the Polytechnic University of Valencia (UPV), in collaboration with specialists from the University of Valencia (UV), have come up with a new system based on a high-sensitivity mass biosensor that continuously monitors signals for the direct detection of SARS-CoV-2 in environmental aerosols. The device, in prototype phase, makes it possible to assess the quality of the air and allows an early detection of the virus in inside spaces such as homes, classrooms, restaurants, cinemas or means of transportation. Read More

Artificial Intelligence also has illusory perceptions

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A study on visual illusions in artificial neural networks, in which the University of Valencia participated, reveals that artificial perception does not eliminate the subjectivities and biases of the human brain. That machines can be wrong in their perception of reality, as people are, is one of the main conclusions of a study recently published in the Vision Research journal.

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Handheld robotic exoskeleton to improve the lives of people with hand mobility problems

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The Engineering Design and Technological Development Group (DIDET), from the University of Alicante ArtefactosLAB, has once again taken a step forward in terms of social innovation with the design of a new handheld robotic exoskeleton. Named [flick], this robotic exoskeleton improves the lives of people with limited or no ability to move due to neurological and/or physiological disorders. Read More