This paper defines a positive and unlabeled classification problem for standard GANs, which then leads to a novel technique to stabilize the training of the discriminator in GANs and deal with ...

A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

Humans can remember various types of information, including facts, dates, events and even intricate narratives. Understanding ...

Cardiovascular disease (CVD) risk prediction models have improved the ability to stratify adults across the CVD risk spectrum ...

Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only ...

Current TCP/IP network infrastructures and management systems are facing a tough time in handling the unusual increase in network traffic due to the surge of typical real-time applications. To solve ...