Opinion posts on AI and CV
The advances of AI have been truly incredible. AI has encroached on nearly aspect of our lives and it is now trying to venture into the world of high art (something to be distinguished from pop/commercial art). In this post I talk about why AI has no place in this world whatsoever. I also ask why the merging of AI and high art is even being discussed.
There is a fundamental difference between humans and machines. Most people would agree with this. Hence, maybe we should not use terms like “intelligence”, “understanding”, and “creating” for machines as we do for humans. Terms like these (and others) are loaded and imply something profound in the existence of an entity that is said to be or do those things.
AI is not only fundamentally unintelligent but at the moment it is fundamentally over-hyped.
I present an academic paper here to continue my discussion and analysis that AI is slowing down despite the hype surrounding it.
I discuss how AI is still fundamentally unintelligent and, hence, the hype behind it is to some significant degree unjustified. I will use the GPT-3 to argue my case.
In this post I discuss why AI cannot keep accelerating indefinitely at its current pace. There’s only so much that we can pump into it.
Deep learning has been revolutionary. But traditional computer vision not dead yet. It is still worth studying.
In my previous post I looked at the unprecedented growth of computer vision in the industry. 10 years ago computer vision was nowhere to be seen outside of academia. But things have since changed significantly. A telling sign of this is the consistent tripling each year of venture capital funding in computer vision. And Intel’s […]
I started out in computer vision in 2004. I was walking along the corridors of the computer science department at the University of Adelaide (in South Australia) looking at notices put up by lecturers advertising potential undergraduate thesis topics. There wasn’t much there for me until one particular topic caught my eye: developing a vision […]
This is another post that has been inspired by a question posed in a forum: “What are the open research areas in image processing?”. My answer? Everything is still an open research area in image processing/computer vision! But why is this the case? You’d think that after decades of research we’d feel comfortable in saying […]