Scientific American

As Machines Get Smarter, Evidence Grows that They Learn Like Us

Studies suggest that computer models called neural networks may learn to recognize patterns in data using the same algorithms as the human brain From Quanta Magazine (Find original story here). The ...
Nature

Statistical Mechanics of Neural Networks and Boltzmann Machines

The field of statistical mechanics applied to neural networks and Boltzmann machines has grown into a multidisciplinary research area that bridges the gap between theoretical physics, mathematics and ...
Hindustan Times

Nobel prize in Physics: They trained their machines to imitate the human brain

They are pioneers who developed early artificial neural networks. John Hopfield and Geoffrey Hinton used fundamental concepts of physics to develop their ideas New Delhi: Machine learning is a key ...
GIGAZINE

Two researchers who proposed the foundations of AI and machine learning using artificial neural networks received Nobel Prize in Physics

The Royal Swedish Academy of Sciences has announced that the Nobel Prize in Physics will be awarded to Professor Emeritus The Royal Swedish Academy of Sciences stated, 'Professor Hopfield developed ...
Simon Fraser University

Feature Representation and Multi-modal Fusion using Deep Boltzmann Machine

This paper proposes a high level latent and shared feature representation from neuroimaging modalities (MRI and PET) via deep learning for the diagnosis of Alzheimer’s Disease (AD) and its prodromal ...