Humanizing the Machine

The world is moving faster from “digitize the information” to “humanize the information”. AI/ML plays a major role into it. Although organic learning and logic building based on the intelligence might seem a proprietary to humans, but what if the machine given enough of you to understand and replicate, it might imitate it intelligently.

Digital advances such as virtual sensors, analytics, robotic devices, natural language processing, artificial intelligence, automated virtual assistants, 3D printers, wearable devices, collaboration software, and gaming capabilities promise to reshape work practices like never before.

Organizations have been making more investments in AI-related technologies over the last two years— 78 percent more in machine learning and 77 percent more in deep learning and embedded AI solutions.

Men learning always lies in its organic perception, of the knowledge, but Learn how to learn is the key with machine. Ability to think and choose your options rather than some body gives you the options to choose from is always been human area of influence.

Current day machine is not able to do a conversation, because it can’t interpret you mood, probably he doesn’t have enough training set to make a call on prediction. So still a long to go to build a great teacher, probably a human replica.

Training and get trained (technically called machine Learning / Artificial intelligence) calls for a great deal of exploration of internal as well as external knowledge.

It’s first the teacher who introduces you to the subject rather than subject itself. The prior one allows us to find our fitment and options rather than later one, where whole bunch of thing is forced on you (in the current education system). Some learns through examples, some learns through just by reading, but something which really matters is how much you explored in yourself, while learning, which actually calls for a personalize tutoring.

It’s very similar to a kids perceiving what is being taught. A kid perception may not be same as what a system (machine) wants him/her to learn. It’s your organic receptor, which works differently from person to person unlike machine, where we try to fit one shoes for all.

All great invention in current era like google, Crotona is replication of what an intelligent person think or would like to remember and solve. The concept of an AI driven teacher is all about making a judgment of the student, and personalize his building blocks.

A prospective AI driven tutor make this difference the same way as the teacher do. A teaching machine should be good at reading your capability and map the offering as your requirement, so something very personalize to suit a student level. And from there scale up your knowledge level and built a concept around that.

The basic idea behind all the great work in around intelligent machine to find option, very similar to what we do when get a question paper to solve in the exam, we look for our options and drill down to what is achievable in first go.

Personalization is the core of concept based on which search engine or a recommendation engine works. Think!! About teacher and student personal experience in real world.

If you can program your action, you can easily program and teach a machine. But we are really difficult to be programmed. Isn’t it?

But in current time of social media and tons and tons of data being captured through masses helps machine to capture your 24/7 mood and activity.

Total no. of query on google is in billions. amazon processes the order per day is in millions, but it took several years for them to reach this stage. So the similar way the kind of data we produce every day could be great source to personalize recommendation for our self.

So, the teaching machine is the next milestone driven by technology to personalize the learning through AI, and could be a breakthrough in time to come after google and recommendation engines.