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A human-in-the-loop deep learning paradigm for synergic visual evaluation in children | Article

Recently published an article on Deep Learning.


Examining the visual acuity of children who are younger than three years old is important for the early discovery of abnormal visual development, potential ophthalmic diseases, and neurological disease.

If the visual abnormal development is not diagnosed in time, later development will be affected, but performing visual examination in children is challenging due to their lack of understanding of instructions. Evaluating the visual acuity of children remains difficult since many children are unable to effectively express their understanding, especially with respect to directions (i.e., up, down, left and right). In addition, it is difficult for children to concentrate for a long time during the vision examination. The Teller visual acuity (TVA) card can be used to evaluate the visual acuity of children, but not all the operations are recorded and can be reviewed.

Abstract

Apple’s Latest AI Acquisition Is A Glimpse Into Future Devices

Apple has reportedly paid $200 million to acquire Seattle-based artificial intelligence company Xnor.ai, which specialises in edge-based AI.

The purchase is one of many for Apple, which has become adept at vacuuming up tech startups, but it also gives us a glimpse into the company’s thinking when it comes to future devices.

Xnor.ai’s work on hyper-efficient, low-power AI that doesn’t require powerful processing or a connection to the cloud (processing locally on-device instead), neatly slots into a few areas Apple is currently working on.