Data Science and Artificial Intelligence

Exploring data science, statistics and artificial intelligence, with a touch of closely related issues from neuroscience and cognitive psychology

Building AI: How well did we do?

Suitcase Hardware BW

Editor’s note: This is a series of blog posts on the topic of “Demystifying the creation of intelligent machines: How does one create AI?” You are now reading the final post, part 7.  For the list of all, see here: 1, 2, 3, 4, 5, 6, 7. As I discussed in my last posts, I have […]

Building AI: How exactly did we do it?

Building AI

Editor’s note: This is a series of blog posts on the topic of “Demystifying the creation of intelligent machines: How does one create AI?” You are now reading part 6. For the list of all, see here: 1, 2, 3, 4, 5, 6, 7. As I discussed in my last posts, I have been working with colleagues […]

Building AI: Classifying errors

Error

Editor’s note: This is a series of blog posts on the topic of “Demystifying the creation of intelligent machines: How does one create AI?” You are now reading part 5. For the list of all, see here: 1, 2, 3, 4, 5, 6, 7. As I discussed in my last posts, I have been working with […]

Building AI: Compiling the neural network

Brain Neurons

Editor’s note: This is a series of blog posts on the topic of “Demystifying the creation of intelligent machines: How does one create AI?” You are now reading part 4. For the list of all, see here: 1, 2, 3, 4, 5, 6, 7. As I discussed in my last posts, I have been working with […]

Building AI: 3 theorems you need to know

Editor’s note: This is a series of blog posts on the topic of “Demystifying the creation of intelligent machines: How does one create AI?” You are now reading part 3. For the list of all, see here: 1, 2, 3, 4, 5, 6, 7. As I discussed in my last posts, I have been working with colleagues […]

Building AI: Solve the most critical challenge first

Editor’s note: This is a series of blog posts on the topic of “Demystifying creation of intelligent machines: How does one create AI?” You are now reading part 2. For the list of all, see here: 1, 2, 3, 4, 5, 6, 7. As I previewed in my last post, I have been working with colleagues […]

How do you build an AI? We gave it a try

Fan

Editor’s note: This is a series of blog posts on the topic of “Demystifying creation of intelligent machines: How does one create AI?” You are now reading part 1. For the list of all, see here: 1, 2, 3, 4, 5, 6, 7. Once created and deployed, artificial intelligence (AI) can be a wonderful tool. But […]

Is investing in AI technology a bet against the odds?

AI investment DXC Blogs

In my last post, I made a big distinction between investments in proven artificial intelligence solutions and investing in growing AI intelligence. While the first situation is relatively safe, the second is a huge risk. I am not saying that business should stop investing in better AI technology or that progress is hopeless. After all, […]

The challenge of scaling AI technology

scaling AI DXC Blogs

One key indicator of a safe investment is the need to scale. After a proof of concept has been established, the technology has been shown to function properly and customers demonstrate a clear interest, all that stands between the concept and profits is scale. For most technology investments, scaling is quite safe. Sure, there are […]

Should we be preparing for an AI bust?

AI bubble DXC Blogs

In my last blog, I talked about the danger of entering an AI winter, a period of time when disappointment in a lack of progress toward artificial intelligence leads to a reluctance to pursue new research in the area. This is a concern today because our community is repeating cycles of the past. We have […]