Nicolas Bortolotti

@nickbortolotti

Technical Program Manager at Google & Engineering Researcher

Zurich, Switzerland
nicolasbortolotti.com
Joined November 2009
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  1. Pinned Tweet
    Mar 19

    thinking about 2.2 ecosystem.

    and
    3 retweets 11 likes
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  2. Aug 25

    curious about, how many of this I should use to see a little change?

    1 reply 2 likes
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  3. Aug 25

    common question I hear multiple times this week...

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  4. Retweeted
    Aug 6

    Presenting a novel method for metric distance estimation from video using Iris 👀 — no depth sensor required. Check out our blog for more details at

    43 replies 899 retweets 3,847 likes
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  5. Retweeted
    Jul 30

    To foster research and enable progress in large-scale instance-level recognition problems, we are announcing the 2020 Landmark Recognition () and Landmark Retrieval () challenges on ! You can register at the links above.

    5 replies 152 retweets 444 likes
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  6. Retweeted
    Jul 24

    Accelerating TF Lite 🏁⚡️ See how integration of the XNNPACK library with TensorFlow Lite improves neural network inference performance by 2.3X on average. Learn more ↓

    1 reply 84 retweets 256 likes
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  7. Retweeted
    Jul 23

    Quantization Aware Training 📝 In this TF Model Optimization Toolkit tutorial, you’ll learn the fundamentals of quantization aware training, how to use the TF Keras API, and internals of implementation. Let’s get started →

    Quantization Aware Training TensorFlow
    2 replies 54 retweets 221 likes
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  8. Jul 18

    "Transparency builds trust in leaders and conveys respect for employees... " from 5 Tips for Communicating with Employees During a Crisis

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  9. Retweeted
    Jul 13

    Journey to Pixelopolis 🚗⚡️ Check out Pixelopolis, a self-driving car demo planned for Google I/O using TensorFlow Lite technology and a Pixel phone camera to detect and understand signals from the world around it! Enjoy the ride →

    10 replies 193 retweets 604 likes
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  10. Retweeted
    Jul 10

    TensorFlow 2 🤝 Object Detection API Today we’re happy to announce that the TF Object Detection API officially supports TensorFlow 2! Learn more about the release and all its new features in the post. Read the blog ↓

    22 replies 405 retweets 1,452 likes
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  11. Jul 5

    I Never experimented interruption at work hehe. What's about you ? A Plan for Managing (Constant) Interruptions at Work

    1 like
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  12. Jul 5

    Machine Learning Course by Google: Google Machine Learning Coursera Course

    2 retweets 2 likes
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  13. Retweeted
    Jun 30

    has a new great collection of ML Kit compatible models! To make it easier for mobile app devs to use these models, we’ve also added interactive visualizers powered by and performance benchmarks on selected models. Check it out here →

    57 retweets 189 likes
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  14. Retweeted
    Jun 18

    New tutorial! , , and show how to implement IG, a technique to help you understand the relationship between model predictions and input features, and how to apply it to your models. Learn more →

    42 retweets 112 likes
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  15. Jun 12

    ...how small wins could “ignite joy, engagement, and creativity at work.” from To Solve Big Problems, Look for Small Wins.

    1 like
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  16. Retweeted
    Jun 9

    Presenting PEGASUS, an approach to pre-training, that uses gap-sentence generation to improve the performance of fine-tuning for tasks, like abstractive summarization. Read more and try the code for yourself ↓

    14 replies 173 retweets 511 likes
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  17. Retweeted
    Jun 8

    Recent updates to the technology behind Google Translate—including changes to model architecture, training, treatment of noise in datasets, and multilingual transfer— have led to improved translation quality for over 100 languages. Learn more at .

    20 replies 395 retweets 1,515 likes
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  18. Jun 7

    "... and organizations try to encourage people to speak up and contribute their ideas" from You Might Not Be Hearing Your Team’s Best Ideas

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  19. Retweeted
    May 29

    Introducing DADS, a novel unsupervised algorithm for discovering task-agnostic skills, based on their predictability and diversity, that can be applied to learn a broad range of complex behaviors. Learn more at:

    17 replies 211 retweets 672 likes
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  20. Retweeted
    May 26

    MediaPipe () has updated its , on-device, real-time hand tracking solution so that it's 15% faster, 37% more accurate and achieves 69% higher recall. Check it out at to track fast gestures, 👊 and 👋 with ease!

    51 replies 953 retweets 3,836 likes
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  21. May 23

    "there are common-sense ways to keep the importance of human front-and-center even as you update your operation" from Don’t Let Digital Make You Less Human

    1 retweet 1 like
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