Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

"The papers and data we've presented at the November IEEE conference show how Verseon's advances in AI produce superior results in life-science applications," said Verseon's Head of AI Ed Ratner. "Our ...

The use of deep learning has grown rapidly over the past decade, thanks to the adoption of cloud-based technology and use of deep learning systems in big data, according to Emergen Research, which ...

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, ...

Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple ...

Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is ...

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.

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...