On-Demand Automated Intelligence

AI systems can provide intelligence on-demand as & when we need.

Artificial intelligence (AI) can now intelligently build on what’s already inside its memory along with large external data, It has the capacity to upgrade its responses , measure its outcomes with the desired and correct ones. Over a span of time, it’s able to get increasingly meticulous, figuring out how to use its memory data banks simultaneously.

An example the researchers give is a public transit system, like the Seoul Metropolitan Subway Underground. Once it’s learned the essentials it has the capability to figure out more difficult relationships and routes independently by, relying on what it’s already got in its memory banks.

The approach means that the knowledge gained about the Seoul Underground can be employed to another transport network, like the Copenhagen Metro.

This suggests that artificial intelligence could provide solutions to new topics, by tracing feedback from preceding experiences, without the necessity of having learned every possible answer ahead of time.


A good receptionist should have certain characteristics: accomodating, friendly, organized. But do they need to be human?  This is deeply at odds with contemporary receptionists because they need not be in flesh anymore. Walk into  Carrington Street office in Sydney and you’ll be greeted by JiLL their remarkable,  new receptionist who can assist in a delivery, contact your hosts, recognize employees or visitors, and more. We are not making any unique claims here. Jill is just one of a growing number of robotic staff now working in offices around the world.  It boggles the mind.

But that’s only part of the big picture. Yes, automation has begun to crowd out human workers, as most of the world predicted, but the effect is more than just replacement -its advancement, clear-sailing. The influx of sophisticated technologies will enable us to think of work in new and progressive ways. It changes the course of history.


A footnote can be added here. There is  in our own day a growing sense among many that the crowning glory of technology is as it develops, robotics and machine learning will make greater inroads into behavior for automation. Advanced techniques, take for instance, are enabling safe and sound physical collaboration between robots and humans in what are now considered unforeseen undertakings. When we look around the world here at the end the twentieth century we see a remarkable automation awakening. This progress could enable the automation of more activities in spheres such as construction. Artificial intelligence can be used to design components in heavy-engineering industries for example. What we have already seen and will now see again will strike us so powerfully in its impact.