The use of artificial intelligence (AI) scares many people as neural networks, modeled after the human brain, are so complex that even experts do not understand them. However, the risk to society of applying opaque algorithms ...
International Iberian Nanotechnology Laboratory (INL) researchers have developed a neuromorphic photonic semiconductor neuron capable of processing optical information through self-sustained oscillations. Exploring the use ...
A research team led by Prof. Gao Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has improved residual neural networks to accurately classify and identify microplastics using low-quality ...
Coral reefs are some of the world's most diverse ecosystems. Despite making up less than 1% of the world's oceans, one quarter of all marine species spend some portion of their life on a reef. With so much life in one spot, ...
The brain's ability to process information is known to be supported by intricate connections between different neuron populations. A key objective of neuroscience research has been to delineate the processes via which these ...
A new systematic review has revealed serious shortcomings in the evaluation of cyclone risk in Australia and worldwide. The research, which analyzed 94 studies on cyclone risk, warns that existing approaches may be failing ...
KTU researchers are proposing an innovative forest regeneration model and a sound analysis system that can predict forest conditions and detect environmental changes in real time.
A type of artificial intelligence that mimics the functioning of the human brain could represent a powerful solution in automatically detecting wildfires, plummeting the time needed to mitigate their devastating effects, ...
Satellite images from space are allowing scientists to delve deeper into the individual functions of different tropical forest canopies with new and surprising results.
Binary neutron star mergers occur millions of light-years away from Earth. Interpreting the gravitational waves they produce presents a major challenge for traditional data-analysis methods. These signals correspond to minutes ...
