With the rising number of mobile users and the large set of critical applications, such as Internet of Things, Smart Grid, and Smart Cities, it is fundamental to wisely and efficiently allocate the ...
One of the most noteworthy artificial intelligence trends in 2018 has been the maturation of reinforcement learning into a mainstream approach for building and training statistical models to do useful ...
Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.
Tech Xplore on MSN
Photonic chips advance real-time learning in spiking neural systems
Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a photonic spiking neural system. By enabling fast learning and decision making ...
The various cutting-edge technologies that are under the umbrella of artificial intelligence are getting a lot of attention lately. As the amount of data we generate continues to grow to mind-boggling ...
Reinforcement learning algorithms help AI reach goals by rewarding desirable actions. Real-world applications, like healthcare, can benefit from reinforcement learning's adaptability. Initial setup ...
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