Advances in machine learning and neuroscience have helped make great strides in computer vision. But we still have a long way to go before we can build AI systems that see the world as we do.

The recent decades have seen a slew of innovative work in the field of deep learning, which has helped computers mimic some of the functions of biological vision. Convolutional layers, inspired by ...

In my last article I wrote about the difference between AI and Machine Learning (ML). While ML is often described as a sub-discipline of AI, it’s better to think of it as the current state-of ...

What is the difference between AI, Machine Learning, NLP, and Deep ... What is the difference between AI, Machine Learning, ... with solving tasks that are easy for humans but hard for computers.

Machine learning, deep learning, and active learning, on the other hand, are approaches used to implement AI. If AI is when a computer can carry out a set of tasks based on instruction, ML is a ...

In this guest post, GumGum’s vice president ANZ, Jon Stubley (pictured below), takes a look at AI and computer vision. And explains why you’re about to hear a lot more about it… If you go to ...

Computer Vision (CV) has evolved rapidly in recent years and now permeates many areas of our daily life. To the average person, it might seem like a new and exciting innovation, but this isn’t ...

Deep learning is relatively new but there are some common applications of it. They include: Natural Language Processing (NLP), computer vision, customer relationship management systems (CRM), ...

Deep learning is so popular today due to two main reasons. First it was discovered that CNNs run much faster on GPUs, such as NVidia‘s Tesla K80 processor. Secondly, data scientists realized that the ...

Artificial intelligence, machine learning, and deep learning have become integral for many businesses. But, the terms are often used interchangeably. Here's how to tell them apart.