AI neural networks, inspired by the human brain are a foundational technology in the field of artificial intelligence. They are designed to recognize patterns and make decisions with a level of ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, ...

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...

A Neural Engine, specifically Apple’s Neural Engine (ANE), is a specialized hardware component designed to accelerate machine learning tasks on Apple devices. Introduced with the iPhone X and the A11 ...

“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 ...

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 generated images from noise, using orders of magnitude less energy than current generative AI models require.

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 ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.