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

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

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 ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

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, ...

In the machine learning world, the sizes of artificial neural networks — and their outsize successes — are creating conceptual conundrums. When a network named AlexNet won an annual image recognition ...

Using brain organoids, scientists discover how neurons might misfire due to schizophrenia and bipolar disorder.

The research team integrated photonic technology to embed complex optical modules into tiny silicon chips. The advantage of ...

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.