Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for uncovering patterns in large amounts of data that would otherwise be ...

Man surrounded by yellow glowing dollar sign gazes at thin PC monitor displaying brain and gears. Credit: VentureBeat made with Midjourney The buzzed-about but still stealthy New York City startup ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work with ...

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...

What if artificial intelligence could do more than see anecdotal evidence of where business growth is and identify the actions to drive that growth? That’s the promise of neurosymbolic AI.

City St George's, University of London provides funding as a founding partner of The Conversation UK. The main problem with big tech’s experiment with artificial intelligence (AI) is not that it could ...

In a breakthrough for artificial intelligence (AI) and finance, computer scientists from Texas A&M University have developed a machine learning based method called Symbolic Modeling to handle ...

A group of scientists from Colombia’s Pontifical Bolivarian University has developed a novel temperature prediction method for PV inverters that utilizes symbolic regression (SR) based on particle ...

A set of Stone Age artifacts have revealed evidence of advanced cognitive and symbolic behavior among prehistoric humans, a study reports. In the study, published in the journal Archaeological and ...

Artificial Intelligence is morphing itself to the requirements of our enterprise applications and our consumer interests at the same time. As the number and type of AI services continue to grow, data ...