Innovation News Network brings you the latest research and innovation news from the fields of science, environment, energy, critical raw materials, technology, and electric vehicles.
How do seabirds interact with aquaculture and fisheries?
Researchers investigate the interactions between Mediterranean and Atlantic seabirds and aquaculture and fisheries.
Using Artificial Intelligence to detect anomalies in space
Researchers at Julius-Maximilians-Universität of Würzburg are training Artificial Intelligence on a satellite to discover unknown phenomena in space.
3D printed proton-conductive membrane paves way for energy storage devices
Researchers at Tohoku University have 3D printed the first proton exchange membrane, a core component of batteries, electrochemical capacitors, and fuel cells.
Discovery of AMBRA1 enzyme may help cancer treatment
New research suggests a novel enzyme called AMBRA1 that has eluded scientists for over 25 years may revolutionise cancer treatment.
Unprecedented observations of black hole in M87 galaxy
Data from nineteen observatories are being released to give an unprecedented insight into the black hole in the M87 galaxy, and to improve tests of Einstein’s General Theory of Relativity.
Citrus peel offers alternative route to bio-based PEF-plastics
Sari Rautiainen, Senior Scientist at VTT, proposes a new circular approach to PEF plastics: from citrus peel to plastic bottles.
Using NANOGrav to detect very low-frequency gravitational waves
Professor Pedro Schwaller and Wolfram Ratzinger discuss the recent detection of very low-frequency gravitational waves.
Living in proximity to superfund sites may lower life expectancy
New research suggests that residing in close proximity to a hazardous waste or superfund site may lower life expectancy by a year.
Demonstrating atom interferometry in space for the first time
A team of researchers has successfully performed atom interferometry in space, on board a sounding rocket, for the first time.
Machine learning could help slow down future pandemics
Researchers have determined that machine learning could be key to slowing down the spread of infection during future pandemics.