Talend weeds out new highs for AI vision systems - CW Developer Network

Talend senior product manager David Talaga spoke to the Computer Weekly Developer Network this month to talk about data, programming, computer vision systems, advances in AI and garden weeds. Using the now well-seasoned example of how computer vision systems learn, Talaga reminded us that a human infant might typically only need to see four or five dogs to be able to recognise a dog in the future. But, as we know, training a computer to recognise a dog in an image – and eradicate false positives (computers can mistake a dog for a fox, or a coyote, a wolf, a dingo or a jackal) – is likely to require large data sets of hundreds of thousands of images. He thinks that no matter how much technology improves, we're unlikely to ever be able to train a computer vision system in the same way as a human baby because of the unacceptable margin for error which would be present. Talaga says that when training machine systems, data integrity is key.