AI story

April 19, 2019 by admin

[Discussion] When ML and Data Science are the death of a good company: A cautionary tale. from MachineLearning

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CNBC@CNBC·

16 Jun

Pfizer CEO sees a return to 'normal' globally by the end of 2022 https://cnb.cx/3xq36Bt

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Shujian @Shujian_Liu·

16 Jun

Rules! My favorite: Controlling Neural Networks with Rule Representations https://arxiv.org/abs/2106.07804

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Tanishq Gautam @Closedcv·

15 Jun

Finally back on @kaggle!
Worked on Swin Transformers with CutMix augmentation. I also show you how to use @huggingface's Accelerate to train @PyTorch models with GPU and AMP, along with @weights_biases for visualising and tracking my evaluation metrics.
https://www.kaggle.com/ligtfeather/swinformer-cutmix-amp-accelerate-w-b/output?scriptVersionId=65790719

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Jo Kristian Bergum @jobergum·

15 Jun

The multiphase retrieval and ranking pipeline described in the paper "Pre-trained Language Model for Web-scale Retrieval in Baidu Search" https://arxiv.org/abs/2106.03373

Could easily be represented with http://Vespa.ai
- Hybrid text and embedding retrieval
- GBDT re-ranking

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Vladimir Haltakov @haltakov·

9 Jun

Can you detect COVID-19 using Machine Learning? 🤔

You have an X-ray or CT scan and the task is to detect if the patient has COVID-19 or not. Sounds doable, right?

None of the 415 ML papers published on the subject in 2020 was usable. Not a single one!

Let's see why 👇

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