Author: Ray Schroeder
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PAUL WALLIS, Digital Journal
Artificial intelligence, machine learning, and nearly a generation of work are paying off as AI learns to visualise and identify objects like humans. This is a huge, and very necessary, step to AI evolution. UCLA Samueli School of Engineering and Stanford research has created a computer program with the rather forgettable name of “computer vision” which can independently identify partially seen objects. This goes beyond the usual program/task scenario which limits normal computer behaviours. This is a super-hot area of AI research, and it’s on of the most important of all AI functions, in terms of making AI operational in the physical world. The sheer scale of research in this field is indicative; just about every major research organization is putting a lot of work in to this field, and this new achievement is a big, very important breakthrough.
Read more: http://www.digitaljournal.com/tech-and-science/technology/ai-learns-to-identify-objects-like-humans/article/539607#ixzz5ajl6yXQj