Neuroscientists are getting closer to the moment when a frozen snapshot of brain activity can be replayed like a paused ...

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

A new study finds that brain changes are not a steady progression; instead, distinct neural rewiring occurs around ages 9, 32 ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, ...

Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...

As neural implant technology and A.I. advance at breakneck speeds, do we need a new set of rights to protect our most ...

The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how ...

Tensors are the fundamental building blocks in deep learning and neural networks. But what exactly are tensors, and why are ...

Abstract: Musculoskeletal disorders (MSDs) are a common occupational health concern caused by poor posture that reduces productivity. Traditional postural assessments rely on expert evaluation, which ...

Computing power has increased exponentially over the past few decades. We now have cameras on smartphones with incredible computational photography, voice assistants that respond near instantaneously, ...