Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate ...

The market presents opportunities in digital transformation, deep learning, real-time analytics, and AI-driven optimization ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling laws, which describe how the properties of a system change with size and scale ...

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 simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

The framework uses deep neural network models to identify and match high-intent users with relevant advertising, based on ...

Economic policymaking relies upon accurate forecasts of economic conditions. Current methods for unconditional forecasting are dominated by inherently linear models that exhibit model dependence and ...

The unpredictability of AI could lead to a future where humans lose control over AI systems. Neural networks differ ...

“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 ...

A machine learning approach shows promise in helping astronomers infer the internal structure of stellar nurseries from ...