Your Daily AI Research tl;dr - 2022-10-21 ??

Welcome to your official daily AI research tl;dr (often with code and news) for AI professionals where I share the most exciting papers I find daily, along with a one-liner summary to help you quickly determine if the article (and code) is worth investigating.

1?? Simple and Effective Unsupervised Speech Translation

An unsupervised domain adaptation technique for pre-trained speech models which improves the performance of downstream unsupervised speech recognition, especially for low-resource settings.

Link to the paper: https://arxiv.org/pdf/2210.10191.pdf

2?? TOKEN MERGING: YOUR VIT BUT FASTER

A simple method to increase the throughput of existing ViT (visison transformer) models without needing to train.

Link to the paper: https://arxiv.org/pdf/2210.09461.pdf

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?? Deloitte's fifth edition of its?State of AI in the Enterprise?research report is out!

Deloitte "surveyed more than 2,600 global executives on how businesses and industries are deploying and scaling?artificial intelligence?(AI) projects.?

Most notably, the Deloitte report found that while AI continues to move tantalizingly closer to the core of the enterprise – 94% of business leaders agree that AI is critical to success over the next five years – for some, outcomes seem to be lagging."

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Thank you for reading,

Louis