Tag Archives: artificial

What is the definition of AI?

March 5, 2018

Finally, here we are. After four posts discussing the differences between machine learning and AI, and demonstrating that AI can live without machine learning (and vice versa), the time has come to define AI. Easy, right? Not necessarily… Let us first point out that there is no committee to decide which products constitute an AI… Read More »

AI without machine learning

February 26, 2018

Previously, we explained how machine learning can have its own life and doesn’t need to be a part of AI. Here, we want to explain something that may surprise you: it is possible to build AI without machine learning. “A car with no engine!?” you may cry. Analogies are made to be broken. There are… Read More »

What is machine learning?

February 12, 2018

Every useful machine – from advanced AI through to the humble toaster – has to possess ‘knowledge’ about the world in which it operates. For example, within the design of a household toaster, much knowledge about the world must have already been implemented. This is implicit knowledge. The toaster ‘knows’ what electrical voltage is available… Read More »

Is the Turing test still relevant? How about Turing time?

November 14, 2017

If you’ve found your way to this blog, I have no doubt you’re aware of Alan Turing. In 1950, the father of modern computer science created a test designed to determine a machine’s ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing described his test as “The Imitation Game”… Read More »

Could the English language get any more confusing?

September 14, 2017

Did you know that the English language consists of over 200,000 words? Of these 200,000 words, many have the same meaning but different spelling (synonyms). Some words even have the same spelling but different meanings (homographs). Confusing, right? Let’s imagine you were talking to your colleagues about your recent trek to the coast and you… Read More »

Unchartered waters: machine learning in geoscience

July 14, 2017

I’m still riding the tide of new information that swept over me at this year’s EAGE (European Association of Geoscientists and Engineers) conference in Paris last month. This wave of change was obvious for those that looked, but many still didn’t see it for what it is: the future. I’m talking about machine learning (ML)… Read More »

Analytics, data science, ethics, robots and GDPR at ‘The Future of Marketing’ event

July 12, 2017

Fascinating perspectives present and future, delivered by The Future of Marketing Initiative, University of Oxford and Teradata Teradata recently joined forces with Saïd Business School (SBS), University of Oxford to host a day-long conference, part of the Oxford Future of Marketing Initiative led by SBS Associate Dean of Research and L’Oréal Professor of Marketing, Andrew… Read More »

Maybe you can’t machine learn everything – but does that mean you shouldn’t try?

July 10, 2017

  I just got back from the EAGE, the 79th annual European conference and exhibition for Geoscience and Engineering. But what I actually want to tell you about is what I did on the weekend before the conference started. A few of us from Teradata joined a slightly more recent tradition – the Subsurface Hackathon… Read More »