Efficient inference on IMG Series4 NNAs
4 min read
Research into neural network architectures generally prioritises accuracy over efficiency. Certain...
Research into neural network architectures generally prioritises accuracy over efficiency. Certain...
The last decade of AI research has been characterised by the exploration of the potential of deep...
Last year I read a fascinating article on LinkedIn about using deep-learning-based super-resolution...
Why should current-day AI researchers look into biology and the brain? Artificial neural networks...
This blog post is a result of a collaboration between Visidon, headquartered in Finland and...
Welcome to the second in a series of articles where we explore how Imagination and Humanising...
A major challenge for fast, low-power inference on neural network accelerators is the size of the...
Welcome to the first in a series of articles where we explore how Imagination and Humanising...
The versatility and power of deep learning means that modern neural networks have found myriad...
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