3 years ago

Artificial Intelligence: Implications of Computer Learning

Some really great insights from data scientist Jeremy Howard when we teach computers to learn.

I recently came across a Ted talk by esteemed data scientist Jeremy Howard. In the talk, he shares his insights about deep learning, an algorithm that can give computers the ability to learn entire languages.

Deep learning has been used to recognize people and objects in a photograph or even to make recommendations on a specific medical condition. Another deep learning tool is able to analyze YouTube videos and teach itself the concept of a cat.

Rise of the Machines… Not.

As simple as learning what a cat or dog is from nothing but Youtube videos may seem now, it’s lightyears beyond the linear, two dimensional computing tasks machines have been doing over the last half century.

As Ray Kurzweil predicts, it would seem we are quickly approaching the singularity.


All jokes aside, there are very real ethical and safety concerns on the topic of artificial intelligence.

Ray Kurzweil himself voiced concerns about AI in his book and in many of his talks, but Elon Musk is spending tens of millions of dollars to keep the technology from getting into the wrong hands.

Even with all the risks, there are some really amazing possibilities.

The biggest mysteries of science, medicine and space exploration seem achievable in the near future with the aid of Artificial Intelligence.

Don’t Be An Evil Robot

If you are afraid of this technology being released in the wild, it’s already here.

It’s already behind the technology powering Google search these days. Deep learning, and other various branches of artificial intelligence algorithms (like predictive modeling, machine learning, pattern recognition, text mining and search ) enable Google to process (and make sense of) petabytes of data in seconds, not hours or even days, like it use to take less than a decade ago.

All of this technology is undoubtedly on a collision course with big datathe internet of things and hardware advancements spanning quantum computing and nanotechnology to neuromorphic microchip architecture in the coming years.

Artificial Intelligence

There are few experts in a technology that is so new and the potential for governments and multinational corporations to abuse it is a reality we could face in our lifetime.

Even with all the advancements, AI is at least a few decades away from killing us all.Click To Tweet

I like to joke, but I tend to be optimistic and see this new era of computer science as another logical step. They are merely tools to accelerate our understanding of the world around us.

They should not be feared to the extent that it keeps us from evolving as a species and reaching our full potential.

Do you believe AI is dangerous? Leave a comment below, I would love to hear your thoughts.

Check this out, you will really dig it.

Written by Steve Floyd

Analytics & AdWords certified growth engineer with over a decade experience in making businesses successful. I own and operate AXZM and often speak at top national industry conferences on the topics of strategy, design and marketing technology. Work with me or learn more about me here. Follow me @nawlready

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