Abstract: We investigate key components of a dynamic neurocontroller changing its internal structure enabling "lifetime" learning of a mobile autonomous robot. The behavioral change of the robot is ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Matthew Guay After a new round of testing, we found that the best app depends ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

John Roy Hebb, 84, a resident of Leadmine, passed from this life Wednesday, October 15, 2025, at Garrett Regional Hospital in Oakland, MD. He had been in declining health, but death was unexpected.

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

In the past few years, HR has seen a significant transformation driven by the rise of machine learning tools and technology. 1 These tools extract insights, patterns, and predict trends from massive ...

Sports betting has evolved from simple wagers on game outcomes into a data-driven industry built around statistical analysis and predictive modeling. One of the most influential tools in this shift is ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...