AI is working towards an innovation to have a new sort of engineering.
In the earlier few decades, AI has been covered by a lot of hype that over-claimed, under-offered and almost killed the technology. Once again, Gartner listed the deep learning and machine learning on top of the hype cycle, and all the promotions and potential often lead to an illusion in case technology have not proved effective in desired output. Now that AI is at the top of the market, it is very important for the industry expert to be cautious and avoid the mistakes that they have done in the past.
Michael I. Jordan, Professor, University of California, Berkeley, shared a note of cautious that in the AI the revolution is yet to happen. He writes, “The thought that our generation is seeing the way of the emergence of AI in silicon as our own rival is at the most entertaining us, make us excited as well as frightening us in a similar manner.
We are yet to be knowledgeable in the coming future that we are going to have a huge challenge in our hands in bringing the digital devices and humans together in a manner that it improves human life.
There are devices that have played a crucial role in the evolution of humanity since the time we have developed our first stone tools. In the 1960s, Marshall McLuhan, educator and author wrote, “We shape our tools and in turn they shape us.”
In the same way, the tools of the digital economy of the 21st century are filling the gaps for our cognitive restrictions, enhancing our intelligence, improving our problem-solving activities and ability to work with a huge amount of information.
In making all these happen, deep learning and machine learning are the biggest tools that help us in coping with this entire thing and take benefit of the huge amount of data all around.