Iwan E.

ChatGPT and AI in general are disrupting our educational systems, but in a quite unsuspected way as you may expect. This article is not about cheating students and AI-plagiarism, it is about the reason the educational system will change, whether we want it or not.
Unless you lived under a rock in the past few months, you could not have escaped the barrage of news items, Tweets, and social media posts around ChatGPT. I am not sure whether Chat is the AI’s first name and GPT is its surname, or… عرض المزيد

ChatGPT and AI in general are disrupting our educational systems, but in a quite unsuspected way as you may expect. This article is not about cheating students and AI-plagiarism, it is about the reason the educational system will change, whether we want it or not.
Unless you lived under a rock in the past few months, you could not have escaped the barrage of news items, Tweets, and social media posts around ChatGPT. I am not sure whether Chat is the AI’s first name and GPT is its surname, or that ChatGPT is its pseudonym under which it publishes articles. ChatGPT, I keep with the pseudonym theorem, is an artificial intelligence that is roaming the internet and is quickly becoming the most cited entity that has ever written a text. At least that is what seems to be the case. عرض أقل

Visual transformations are often employed to achieve size and rotation invariances in computational approaches to vision. Nature appears to have adopted a similar strategy: research workers studying biological vision systems have known for over a decade that a particular spatial transformation appears to be applied to the visual signals that are conveyed between the retina and the primary visual cortex in mammals. This transformation, the retino-cortical (RC) transform, has the property of… عرض المزيد

Visual transformations are often employed to achieve size and rotation invariances in computational approaches to vision. Nature appears to have adopted a similar strategy: research workers studying biological vision systems have known for over a decade that a particular spatial transformation appears to be applied to the visual signals that are conveyed between the retina and the primary visual cortex in mammals. This transformation, the retino-cortical (RC) transform, has the property of re-mapping visual information to remove the effects of scale, 2D rotation and certain projective distortions. In addition, this general class of transformations maps a dilating optical flow-field, i.e. a centred focus-of-expansion, to a translating flow-field. Although the RC transform has been known for some time, and is recognised as being potentially useful in machine vision applications, this potential has not yet been fully realised in practical vision system implementations. This paper reports an attempt to combine the invariant properties of the RC transform with a scale-space approach to image representation and image matching to develop an anthropomorphic visual recognition architecture عرض أقل