Skip to main content

The Computational Future by Steven Wolfram

This is an article I came across on the Wolfram blog, I found it very interesting so I decided to post a snippet of it. The remainder of the post can be found by following the link below.

The Computational Future

Computational thinking is going to be a defining feature of the future—and it’s an incredibly important thing to be teaching to kids today. There’s always lots of discussion (and concern) about how to teach mathematical thinking to kids. But looking to the future, this pales in comparison to the importance of teaching computational thinking. Yes, there’s a certain amount of mathematical thinking that’s needed in everyday life, and in many careers. But computational thinking is going to be needed everywhere. And doing it well is going to be a key to success in almost all future careers.

Doctors, lawyers, teachers, farmers, whatever. The future of all these professions will be full of computational thinking. Whether it’s sensor-based medicine, computational contracts, education analytics or computational agriculture—success is going to rely on being able to do computational thinking well.


Popular posts from this blog

Next Steps Towards Strong Artificial Intelligence

If you follow current AI Research then it will be apparent to you that AI research, the deep learning type has stalled! This does not mean that new areas of application for existing techniques are not appearing but that the fundamentals have been solved and things have become pretty standardized.

How to become an AI researcher

Artificial Intelligence is all the rage these days. Everyone is getting on the bandwagon but there seems to be a shortage of AI researchers everywhere these days. Although many people are talking about doing AI not many people are actually doing AI research.

At the edge of a cliff - Quantum Computing

Quantum computing reminds me of the early days of computer development (the 50s - 60s) where we had different companies come up with their different computer architectures. You had to learn how to use one architecture then move to another then another as you hoped to explore different systems that were better for one task than they were for another task.