AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models.

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

Scientists from Tomsk Polytechnic University, together with their colleagues, analyzed various methods of planning experiments to determine the optimal technological parameters of polymer scaffold ...

In1956,asmallconferenceroominDartmouthignitedtheterm'artificialintelligence.'Nearlyseventyyearslater,wef… ...

In recent years, there has been a surge of research focused on the application of artificial intelligence (AI) to ...

Ltd. applied for a patent titled "A Method, Device, System, and Medium for Cascading Knowledge Amplification of Artificial Neural Networks" in May 2025, with the publication number CN120562486A. This ...

The fields of psychology, robotics and machine learning have each been using some version of the concept for decades. You likely have a world model running inside your skull right now — it’s how you ...

A research initiative from Singapore Management University is setting out to address a longstanding problem in artificial intelligence: the difficulty in evaluating how AI models reach their decisions ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...