Greg Chatel

C.S. PhD, Lead R&D @ Disaitek, AI innovator @ Intel.

[Cliff Pickover @pickover]

Mathematics and beauty. Chaotic systems. Strange attractors.
More info: https://t.co/cqSv9aaB5s

[Project Jupyter @ProjectJupyter]

JupyterLab 3.0 is released!

- visual debugger
- support for multiple display languages
- table of content for notebooks
- improved extension system.

Check out the announcement blog post.

https://t.co/pUBiZEYH4c

[Kai Noeske @kainoeske.bsky.social🥼🔭🚀🛰️🪐🇪🇺 @kainoeske]

This is probably the most humbling & awe-inspiring image of the #Universe I know.

It's an infrared image by the #Spitzer #Space #telescope, as wide as the full moon.

The dots aren't stars.
They're galaxies.
Each dot is 100s of Billions of stars.(1/n)

@Todd_Scheve #astronomy

[Greg Chatel @rodgzilla]

Reading a book a week https://t.co/y8tcwVHsHZ

[Andrej Karpathy @karpathy]

"A vegan diet is probably the single biggest way to reduce your impact on planet Earth, not just greenhouse gases, but global acidification, eutrophication, land use and water use,..., far bigger than cutting down on your flights or buying an electric car" https://t.co/MBSiSYj8ZK

[Sasha Rush @srush_nlp]

We wrote a longer version of the @huggingface🤗transformers paper (EMNLP demos). It goes through the library and model hub. Lot has happened in the last 9 months!

Paper: https://t.co/Rm0JvERveT

Consider citing (not linking) in your next paper: https://t.co/91N1JCOXTU

[Julien Chaumond @julien_c]

I'm beyond stoked to launch the v2 of the @huggingface model hub today 🔥

Each of our 2,000 models now has an inference widget that lets you try it (text-classification, token-classification, translation, etc.) directly from the model page.

It's all powered by the community 💖

[Quoc Le @quocleix]

A surprising result: We found that smooth activation functions are better than ReLU for adversarial training and can lead to substantial improvements in adversarial robustness.
https://t.co/qehDOtrLI6

[Visual Geometry Group (VGG) @Oxford_VGG]

Check out our new work "Labelling unlabelled videos from scratch with multi-modal self-supervision" by @y_m_asano @mandelapatrick_ @chrirupp and Andrea Vedaldi in colab with @facebookai!

See below for our automatically discovered clusters on VGG-Sound! https://t.co/JJ1XtevlRg

[Guillaume Lample @ NeurIPS 2024 @GuillaumeLample]

Unsupervised Translation of Programming Languages. Feed a model with Python, C++, and Java source code from GitHub, and it automatically learns to translate between the 3 languages in a fully unsupervised way. https://t.co/FpUL886KS7
with @MaLachaux @b_roziere @LowikChanussot

[Hugging Face @huggingface]

Long-range sequence modeling meets 🤗 transformers! We are happy to officially release Reformer, a transformer that can process sequences as long as 500.000 tokens from @GoogleAI. Thanks a million, Nikita Kitaev and @lukaszkaiser! Try it out here: https://t.co/GwvMrt9lYk

[Greg Chatel @rodgzilla]

@dennybritz A very cool evolution in the scene is the Shader showdowns: 25 mn round of 1v1 shader programming --> https://t.co/fVJw1zCO9S

[Akiyoshi Kitaoka @AkiyoshiKitaoka]

My face is embedded in this image. When it is blurred, e.g. seen from a distant or without a pair of glasses, my face is discernible. I have learned by myself how to make this type of illusion, but I do not know whom I should cite for this effect. Does anyone have information?

[Matt Henderson @matthen2]

a method of drawing infinitely many touching circles

[XKCD Comic @xkcdComic]

RIP John Conway https://t.co/TOodnONnuz https://t.co/faSXoYrO4A

[Thomas Wolf @Thom_Wolf]

T5 is now officially included in 🤗Transformers v2.7.0 thanks to our joint work with @colinraffel & @PatrickPlaten

A powerful encoder-decoder by @GoogleAI which natively handles many NLP tasks as text-to-text tasks

Just ask it to "Translate" or "Summarize" and enjoy the result!

[Julien Chaumond @julien_c]

🔥 Google AI weights, directly inside @huggingface transformers 🔥

https://t.co/D7nX5rnZSX

https://t.co/Fi3sbDF2mW

[Massimo @Rainmaker1973]

This is a recently discovered illusion, and it’s really quite striking. The strange effect is called the ‘curvature blindness’ illusion https://t.co/O3FdChvac3

[David Berthelot @D_Berthelot_ML]

FixMatch: focusing on simplicity for semi-supervised learning and improving state of the art (CIFAR 94.9% with 250 labels, 88.6% with 40). https://t.co/QuP6oN7iCS
Collaboration with Kihyuk Sohn, @chunliang_tw @ZizhaoZhang Nicholas Carlini @ekindogus @Han_Zhang_ @colinraffel