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"Embedding the Self-Organisation of Deep Feature Maps in the Hamburger " by Jack Humphreys, Markus Hagenbuchner et al.

The popularity of neural networks that explicitly utilise the global correlation structure of their features have become vastly more popular ever since the Transformer architecture was developed. We propose to embed unsupervised Self-Organising Maps within neural networks as a means to model the global correlation structure. By enforcing topological preservation therein, such a neural network is able to represent more complex correlation structures and to produce interpretable visualisations as a byproduct. We validate this approach by comparing with the existing state-of-the-art attention substitute within its own 'Hamburger' framework and by illustrating maps learnt by the module. Overall, this paper serves as a proof of concept for integrating Self-Organising Maps within a supervised network. ....

Self Organising Maps , Deep Learning , Neural Networks , Elf Organizing Feature Maps , Unsupervised Learning , Unsupervised Learning ,

AI Technology Identifies Multiple Nickel-Copper-PGE Sulphide Targets at QNI's Ducros Project

Québec Nickel Corp. (“QNI” or the “Company”) is pleased to report the results from an Artificial Intelligence (“AI”) nickel-sulphide-focused targeting exercise at the Company’s Ducros claims which has recently been completed by ALS GoldSpot Discoveries. ....

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AI Technology Identifies Multiple Nickel-Copper-PGE Sulphide Targets at QNI's Ducros Project

Québec Nickel Corp. ; class= js-l-obf link link blue ....

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Cambridge Institute of Technology Makes History as the First South Indian Institution to Commend Inaugural Graduates of Samsung Innovation Campus

Cambridge Institute of Technology Makes History as the First South Indian Institution to Commend Inaugural Graduates of Samsung Innovation Campus
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Engineer Venkateshwarlu Rupani Explains The Role Of Testing In The Machine Learning World

Machine learning is the ability of an application to identify patterns in the data and predict future events by using these patterns. All data, regardless of type, will have a pattern. Machine learning happens when we train the machine to find and use these patterns to give us some useful predictions. ....

Test Objects In Machine Learning Solutions , What Is Machine , Things Work , Learning Models , Machine Learning , Output Values , Unsupervised Learning , Testing During , Problems During ,