Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent breakthroughs indicate that the answer is affirmative, with a molecular ...

Binary digits and circuit patterns forming a silhouette of a head. Neural networks and deep learning are closely related artificial intelligence technologies. While they are often used in tandem, ...

At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice ...

Parth, the digital nerd, dances between the realms of Android and iPhone like a tech-savvy tango. With a keyboard as his compass, he navigates the binary seas, uncovering hidden gems and unraveling ...

From solving puzzles to masterfully playing a game of chess, current artificial intelligence tools have employed algorithms ...

Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be used to create applications like chat-bot, ...

In the "This Paper Changed My Life" series, neuroscientists reflect on papers that have profoundly influenced their careers ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...