Our brains have an extraordinary ability to adapt and learn, a process known as neuroplasticity. From navigating a new city to mastering a new skill, neuroplasticity allows us to reshape our neural ...

Artificial Neural Networks (ANNs) are commonly used for machine vision purposes, where they are tasked with object recognition. This is accomplished by taking a multi-layer network and using a ...

For decades, dopamine has been celebrated in neuroscience as the quintessential "reward molecule"—a chemical herald of ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

While artificial intelligence (AI) has made remarkable achievements in domains like image recognition and natural language processing, it encounters fundamental challenges when trying to deal with ...

For the past decade, AI researcher Chris Olah has been obsessed with artificial neural networks. One question in particular engaged him, and has been the center of his work, first at Google Brain, ...

Researchers at the Yong Loo Lin School of Medicine, National University of Singapore (NUS Medicine), have found that a key ...