Machine learning AI has landed

Jim Millen
By , - Enabling Digital

The concept of Artificial Intelligence (AI) has been a staple of science fiction and futurism for over 50 years. But with recent developments, it is poised to make an increasingly real difference to our future.

To talk us through it, our Global CTO Dr Joseph Reger wowed a packed auditorium in his AI keynote at Fujitsu Forum 2016.

It’s a complex and fascinating subject, so in this post I wanted to bring you the highlights from his talk…

A bit of AI history

The story of AI started back in 1956 at Dartmouth College in the United States. Initially scientists proposed a two-month study. Needless to say, the challenge wasn’t cracked quite so quickly.

The term for AI was coined, however – a brand of computer science attempting to build machines capable of intelligent behaviour.

Now in theory you could build a machine able to look at all inputs and eventualities of a situation.

“But that wouldn’t be very intelligent,” said Dr Reger.

This is where machine learning comes in. Dr Reger explained that by definition this is the ability for a machine to learn instead of being explicitly programmed.

These systems can look at “many, many examples” of information, he said. We might then give some help and feedback on how they ‘learn’.

He explained that in a machine learning system it’s the quality of the data being fed in that’s important.

What advances have we made?

By applying machine learning with neural networks, computer networks modelled on the human brain, you can massively increase the bandwidth available for processing data.

In doing this, a machine can determine patterns among images and pictures much more easily than other data sets.

This means you can apply AI in some very interesting ways.

You can make it work with existing infrastructure. So if you have a CCTV camera monitoring the numbers of spaces in a car park, for instance, all the AI needs to see is the feed from the camera – saving costly investment in sensors and infrastructure.

Fujitsu already has a working use case for this!

This means in the world of the booming internet of things, AI can have a direct impact on how we collect and make sense of information globally.

By taking existing data sets and turning them into images, an AI can process vast amounts of information very quickly, enabling better human decision making.

AI securing our future

Another direct application is using AI to model cybersecurity threats and evolve responses in real time. In fact, AI might be the only way to stay ahead of security threats in the future.

If you consider the huge amount of information that passes through the internet at any one point in time, no human alone is going to be able to detect every hidden pattern at once.

But AI could be used to spot anomalies in that traffic at scale and speed, meaning the time it takes to detect cyber threats is vastly reduced.

Overall, Dr Reger’s talk left no doubt that adoption of AI will grow rapidly over future months and years – and will be a huge growth area for our industry.

This article obviously barely scratches the surface of everything covered at Fujitsu Forum – if you’re interested, I highly recommend watching the full keynote from Dr Reger himself below: 

Jim Millen

Jim Millen

Digital Content Editor at Fujitsu
I'm the editor for the Fujitsu UK & Ireland blog, and love to write about the exciting work Fujitsu do in digital & technology innovation.

Any feedback on the blog or our other social channels? Please do connect and let me know!
Jim Millen

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