Since the early days of artificial intelligence, scientists have dreamed of creating machines that can see the world as we do. And in the past six decades, we’ve come a long way toward creating computer vision, the digital version of the human and animal visual cortex.

But while computer vision has found many useful applications, it is still very different from its biological counterpart.

In a conversation with Gabriel Kreiman, the author of Biological and Computer Vision, we discussed these differences and what it would take to replicate the versatility and robustness of the animal visual cortex.

Read the full article on TechTalks.

For more on computer vision:

• The dark matter of computer vision

• Computer vision applications: The power and limits of deep learning

• Why it’s hard to compare AI and human perception

• The link between CAPTCHAs and artificial general intelligence