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Why neural networks struggle with the Game of Life

The Game of Life is based on very simple rules, but artificial neural networks struggle to learn its rules through the classic deep learning training process. ....

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Mamba Explained

The State Space Model taking on Transformers ....

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The Decade of Deep Learning

As the 2010’s draw to a close, it’s worth taking a look back at the monumental progress that has been made in Deep Learning in this decade.[1] Driven by the development of ever-more powerful comput ....

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Large Transformer Model Inference Optimization

Large transformer models are mainstream nowadays, creating SoTA results for a variety of tasks. They are powerful but very expensive to train and use. The extremely high inference cost, in both time and memory, is a big bottleneck for adopting a powerful transformer for solving real-world tasks at scale.
Why is it hard to run inference for large transformer models? Besides the increasing size of SoTA models, there are two main factors contributing to the inference challenge (Pope et al. ....

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Self-Compressing Neural Networks

The last decade of AI research has been characterised by the exploration of the potential of deep neural networks. The advances we have seen in recent . ....

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