Intelligent systems: Integrated frameworks using artificial intelligence and machine learning to process large datasets and facilitate automated decision-making in clinical settings.

Historically, impedance control and teleoperation have provided the groundwork for compliant interaction between robots and humans, enabling systems to ...

So, it was not a surprise when these questions arose, as it was the hype of the moment and congesting the media coverage of ...

"New AI enables teachers to rapidly develop intelligent tutoring systems." ScienceDaily. ScienceDaily, 3 May 2020. <www.sciencedaily.com / releases / 2020 / 04 / 200430091255.htm>.

Intelligent control systems that integrate neural networks with emotional learning constitute a promising frontier in computational intelligence. These approaches combine the powerful pattern ...

As the global population ages and the prevalence of chronic diseases continues to rise, traditional rehabilitation methods increasingly fall short in ...

Xieling Chen, Gary Cheng, Di Zou, Baichang Zhong, Haoran Xie, Artificial Intelligent Robots for Precision Education, Educational Technology & Society, Vol. 26, No. 1 ...

Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Intelligent systems can take many forms, from automated vacuums such as the Roomba to ...

Understanding Smart Windows and Doors: These are advanced home automation solutions that offer features beyond traditional ...

The business case for intelligent systems The business cycles in commercial aviation will continue to compress, creating a more urgent need for more operational efficiency. This can be achieved by ...

IEEE Intelligent Systems 2 Israeli researchers among Top 10 rising stars in Artificial Intelligence ...

Qiu says it’s Generally Intelligent’s approach to the problem of AI systems that struggle to learn from others, extrapolate safely, or learn continuously from small amounts of data.