Yes, this is absolutely true. Scientists are working on the development of an artificial intelligence (AI) system, that works independently from the internet and cloud computing, providing greater privacy to the users.
This new deep-learning AI software produced with that technology is just perfect enough to fit on mobile computer chips for use in everything, starting from smartphones to industrial robots.
That would further allow the devices to operate independently of the internet while using AI that performs almost as well as tethered neural networks.
Alexander Wong, from the University of Waterloo in Canada, regarded that, “We feel this has enormous potential. This could be an enabler in many fields where people are struggling to get deep-learning AI in an operational form”.
But with this, it is also true that he use of stand-alone deep-learning AI could lead to much lower data processing and transmission costs.
Deep learning AI, which mockeries the human brain by processing data through layers and layers of artificial neurons, typically requires considerable computational power, memory, and energy to function.
Thus, researchers have taken a page from evolutionary forces in nature to make sure that AI is far more efficient, by placing it in a virtual environment, then progressively and repeatedly depriving it of resources.
The deep-learning AI responds by adapting and changing itself to keep functioning each time computational power and memory are taken away.
Lastly, Mohammad Javad Shafiee, from the University of Waterloo, regarded that, “These networks evolve themselves through generations and make themselves smaller to be able to survive in these environments”.