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Neuranext delivers A.I. course to Doctoral Students at Beijing Normal University.

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Neuranext has again delivered our course on Computer Vision and Natural Language Processing Artificial Intelligence to Doctoral students at Beijing Normal University. Dr. Andrew Kyngdon had 120 students attend our course that covers the conceptual and mathematical bases of deep learning with units on convolutional neural networks, linear algebra, calculus, statistics, forward and back propagation. […]

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Neuranext presents paper on Teaching A.I. at Global A.I. in Education Summit in Beijing.

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Neuranext returned to the Global Summit in Big Data and A.I. in Education in Beijing this year with Dr. Andrew Kyngdon presenting our paper on Teaching A.I. to Australian teachers and students. Dr. Kyngdon discussed our hands on incursions and workshops where students not only learn about A.I. but apply A.I. to data they create

Neuranext presents paper on Teaching A.I. at Global A.I. in Education Summit in Beijing. Read More »

Neuranext Chairman Dr. Andrew Kyngdon delivers paper at the 2018 Global Summit on Artificial Intelligence and Big Data in Education in Beijing, China.

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On 22 July Dr. Kyngdon presented his paper on Deep Neural Networks for scoring essays at the 2018 Global Summit on Artificial Intelligence and Big Data in Education in Beijing China. Dr. Kyngdon was a guest of Beijing Normal University. There were 1500 delegates present and the presentation was viewed by over 5 million people in China.

Neuranext Chairman Dr. Andrew Kyngdon delivers paper at the 2018 Global Summit on Artificial Intelligence and Big Data in Education in Beijing, China. Read More »

Neuranext Delivers Computer Vision AI Course at Beijing Normal University in China

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Our first workshop lecture today here in Beijing focused on the conceptual and mathematical bases of Deep Learning. I feel it’s important to start with the fundamentals and build from there. The afternoon lab session, where students write a simple feed forward neural network in Python, really ties everything together; and the benefits of concepts like regularisation and ReLU neurons become very concrete.

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