Department of Electrical Engineering, School of Engineering, University of Zambia, Lusaka, Zambia. Yuval Abraham Regev et al. [19] deployed Long Short Term Memory (LSTM) and Convolutional Neural ...

People made intermittent progress in the field, but machine learning and artificial neural networks gained further in the 1980s, when John Hopfield and Geoffrey Hinton worked out how to build machines ...

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the "space" in which AI "thinks" can ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Abstract: The performance of artificial neural networks heavily depends on the optimization of network parameters, specifically weights and biases, during the ...

Neurons in cortical networks are very sparsely connected; even neurons whose axons and dendrites overlap are highly unlikely to form a synaptic connection. What is the relevance of such sparse ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

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Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A machine learning-based drug screening technique has been developed and optimized ...

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