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 ...

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

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

These networks don’t employ any feedback loops or cycles, and the data is processed sequentially without any iteration. Convolutional Neural Networks (CNN): Designed primarily for analyzing visual ...

AI-created computer chips could revolutionize how our computers run, but scientists say they're so complex we can't ...

A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles ...

AI-based diagnostic tools, particularly deep learning models like Convolutional Neural Networks (CNNs), have demonstrated remarkable success in automated image analysis. These models can detect ...

The core innovation of this technology lies in the design and implementation of the Quantum Convolutional Neural Network (QCNN). The QCNN not only fully replicates the output of classical CNNs but ...

Neuromorphic computing is an emerging computing technology inspired by the operational principles of the human brain. By employing neuromorphic devices to emulate neuronal functions and construct ...