Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

Recurrent Neural Networks (RNN): A special type of neural network, RNN is a complex network that uses the output of a node ...

Our world runs on computer chips. From the chips that run new cars to the chips that help your phones and computers process ...

Key cells in the brain, neurons, form networks by exchanging signals, enabling the brain to learn and adapt at incredible speed. Researchers have now developed a 3D-printed 'brain-like environment' ...

Engineering simulations often require significant computational resources and time, which creates barriers for users and can ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

By combining AI with holographic encryption, scientists have developed an ultra-secure data protection system. Their method scrambles laser beams into chaotic patterns, making decryption impossible ...

When designing a robot, such as Boston Dynamics' anthropomorphic robot Atlas, which appears exercising and sorting boxes, ...

The AI model was able to eventually match the rats’ image processing capabilities, but only after using more and more ...

Rats perceive the world with a complexity that modern artificial neural networks struggle to match. This is the finding of a recent study published in the journal Patterns by the Visual Neuroscience ...