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.

What is the difference between AI, Machine Learning, NLP, and Deep Learning? ... (Artificial intelligence) is a subfield of computer science that was created in the 1960s, ...

Machine Learning: A type of AI that can include but isn’t limited to neural networks and deep learning. Generally, it is the ability for a computer to output or do something that it wasn’t ...

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 ...

A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe.

Let’s explore the key differences between them. There is little doubt that Machine Learning (ML) and Artificial Intelligence (AI) are transformative technologies in most areas of our lives.

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 ...

Deep learning vs. machine learning: what's the difference between the two? We provide a simplified explanation of both AI-based technologies.