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.
QX Resources Limited initiates drilling at Turner River hard rock lithium project
QX Resources Limited has announced that drilling has begun at the company’s Turner River hard rock lithium project.
Landmark fusion energy results spark the nuclear revolution
A fusion energy experiment has released more energy than it takes to initiate – a development that will revolutionise sustainable energy.
Black hole growth unveiled by Machine Learning
Researchers from the University of Arizona have used Machine Learning to work out the relationship between galaxy and black hole growth.
Analysing the merging of water droplets on the International Space Station
Understanding how water droplets spread and coalesce is essential for scenarios in everyday life, but these phenomena are difficult to model.
Flying snakes could help to design next-generation robotics
A study at the University of Virginia and Virginia Tech aims to optimise future robots by exploring the movement mechanisms of flying snakes.
Improving the performance of electrolytes within lithium-ion batteries
The electrolyte facilitates the reversible movement of ions needed during repeated cycles of battery use and recharging.
Can Artificial Intelligence ethically improve society?
A more ethical society can be built if we rethink the way we design technology and Artificial Intelligence.
How do deep sea plants perform photosynthesis?
Plants on land grow by using sunlight to perform photosynthesis, but how do algae photosynthesise in the deep sea, where sunlight is limited?
Dust devils recorded on Mars for the first time
Instruments onboard the Perseverance rover have captured the first-ever sound recording of dust devils – tiny tornadoes of dust – on Mars.
Tsunami warning systems improved using signals from Earth’s ionosphere
Research suggests that using signals from Earth’s ionosphere could effectively optimise tsunami warning systems.











