Thinking Machines: What Artificial Intelligence and Machine Learning Mean for Our Future

To many, Artificial Intelligence (AI) conjures images of a dystopian world. Abundant with power-hungry robots and an overthrown humanity.

In fact, intelligent, lethal automata have permeated what AI denotes. Many of us believe that machines are getting too smart. Or that they pose ‘a grave threat to humanity’ (Stephen DeAngelis).

robot with human body and detachable face

Indeed, the 2016 edition of Gordon Moore’s Law suggests that the…

“Number of transistors in a dense integrated circuit has doubled
 approximately every two years”.

This, so far, has proven to be true. As such, 2035 overrun with machines is not an implausible suggestion.

Not all Doom and Gloom

Wall-E the lovable robot

Despite these dystopian images, however, an opposing concept is adored. In the film ‘WALL-E’, a robot recovers and revives a desolated earth. Similarly, Star Wars droids R2-D2 and C-3PO become lovable comrades. And, in ‘Robot & Frank’ an AI is used to assist an elderly dementia patient.

Supportive, intelligent, convenient and valuable. These creations emphasise how AI can assist humanity and aid our development.

However, with different views in the media, the motives behind AI’s are arguable. Is their advancement a means for control? Or, conversely, are we aiding in societies evolution for the better?

To answer this, we must first understand the difference between AI and Machine Learning (ML).

data board


AI requires a computer system to complete tasks like a human. Either by using visual perception, speech recognition, or decision making. ML, on the other hand, has the ability to assist AI by allowing the system to naturally learn. 

ML learns through practice and corrects itself. It does this without being instructed or programmed. In short, ML focuses on the up growth of computer programmes. These programmes access data and use analysis techniques to evolve.

Far from red-eyed robots, ML is used every day. When you enter a typo into Google, for instance. The system has learned that miswrites are not intended. From this, a different option is generated. 

The same concept applies when searching for features. Take the ‘Top ten Towns’, for instance. The system has learnt, from feedback, which order to list locations. Items can then be grouped without being programmed.


 “There isn’t an area that can’t benefit from AI”- Mahesh Pancholi

– AI’s are used every day. At your bank, in your car and on your smartphone. 

– They aid decision-making.

– AI/ML learns from your opinions and improves. These improvements can be accepted or rejected instantly. 

– AI’s can perfect tasks. 

– Work is completed at a faster rate. This creates time for other things.

robot and human working together

Sites such as ‘Modernising Medicine’ includes AI tech to assist with tricky diagnosis.

Police fight crime using lip-reading tech. 

Scientists have shown how AI could benefit children via one-to-one tutoring.

The Future of AI

The potential for immense, positive change is vast. Pansensic embrace AI tech in data analysis to enhance our world. 

Contact the team, ask for a demo, or just have a chat.

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