AlexNet revolutionized the use of neural networks for computer vision, creating one of the underpinnings of generative AI.

The National Institute of Information and Communications Technology (NICT, President: TOKUDA Hideyuki, Ph.D.) has revealed, through fMRI-based brain activity analysis, that multiple regions in the ...

The National Institute of Information and Communications Technology (NICT) has revealed, through fMRI-based brain activity analysis, that multiple regions in the human cerebral cortex flexibly ...

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional ...

to the outer background. Based on the peak information, we extracted representative ten morphological features, applied a min-max scaler to convert the initial features, and used a deep neural network ...

According to a job listing, Microsoft is launching a project to estimate the influence of specific training data on the media ...

AlexNet is an artificial neural network created to recognize the contents of photographic images. It was developed in 2012 by then University of Toronto graduate ...

International Iberian Nanotechnology Laboratory (INL) researchers have developed a neuromorphic photonic semiconductor neuron ...

This study presents an important contribution to the understanding of neural speech tracking, demonstrating how minimal background noise can enhance the neural tracking of the amplitude-onset envelope ...

buffalo.edu Background Angiographic parametric imaging (API), based ... Objective To investigate the feasibility of using deep neural networks (DNNs) and API to predict IA occlusion using pre- and ...

Using functional MRI brain imaging, University of Oregon researchers have unraveled some of the neural circuitry behind ... mechanisms that go on in the background unnoticed.