#SLICED playoffs tonight!… don’t miss Nick Wan and meg.ai 🇨🇦 data science game show rockstar hosts!

#SLICED finals tonight! Thanks Nick Wan and meg.ai 🇨🇦 for making season one happen!

Easier than ever to demo a fastai model that you've built with Gradio and the new *fastgradio* library ⚡️ Fastgradio: github.com/aliabd/fastgra… Jeremy Howard Rachel Thomas fast.ai

New #sciml method out of the #julialang lab: using coarse-grained models as a foundation for a physics-informed surrogate to predict solutions of partial differential equations. IT'S SUPER FAST! Shown on Maxwell's equations. Thread below. arxiv.org/abs/2111.05841

We hit 3k Twitter followers 🎉 To celebrate, we're sending Coiled swag to 10 lucky winners! That's right - you could be sipping from a Coiled mug like this one. To enter, be following us Coiled & retweet this post! We'll announce the winners on Monday 12/13 at 12 PM EST 🔥

I’m super excited to see ideas from complex systems such as swarm intelligence, self-organization, and emergent behavior gain traction again in AI research. We wrote a survey of recent developments that combine ideas from deep learning and complex systems: arxiv.org/abs/2111.14377

Golems, Owls & DAGs: Lecture 1 of Statistical Rethinking 2022. No hard work yet in this lecture. Just setting the stage. Lecture 2 dropping soon with Bayesian updating. youtu.be/cclUd_HoRlo

With a solid success with #SLICED, premier of VIz Buzz is NOT TO BE MISSED!

Excited to announce DayDreamer, an application of learned world models to robot learning without simulators! DayDreamer enables a robot dog to learn to walk in one hour without resets, simulators, or demonstrations, as well as visual pick and place and navigation tasks thread🧵

A week ago, I presented a lightning talk JuliaCon 2025 on using #julialang for observational health #research. I discussed the state of the art tools available and how I used this to generate results in investigating mental health disparities. youtube.com/watch?v=5XsWUZ…

I love this new article from @wasimlorgat -- the first "how to write great notebooks" tutorial I've seen. Such an important topic!

"What Makes Convolutional Models Great on Long Sequence Modeling?" CNNs—not transformers—now dominate the hardest sequence modeling benchmark. Here's how this happened: [1/14]

To celebrate Christmas I'll be giving away five seats to Walk with fast.ai! To enter the contest: 1. Comment on this tweet something you love about programming 2. Retweet this tweet. Entries will run through the 24th, good luck!

Good news for time series enthusiasts! Our deep learning open-source library, tsai, is getting a major upgrade over the next few weeks. We're enhancing our forecasting functionality to help you build more accurate predictions.

3 exciting innovations brewing for the Python ecosystem right now: 1. Literate programming tools for python, backed by Posit PBC and JJ Allaire youtube.com/watch?v=nllKcu… 2. The mojo language, a superset of Python backed by Modular and Chris Lattner

This new library will 2x your Machine Learning workflow. It's open-source, and in 30 seconds, it'll find problems with your model you didn't know you had. I've tried doing this by hand. It takes weeks. Read on for the details:

I have been saying for years that Amazon Science has by far the best forecasting R&D team on the planet and what drives the innovation at the team is not focus on specific models but the methodology and in depth knowledge of forecasting which is becoming somewhat a lost art

RAFFLE 🏆 Like, retweet, and follow by May 28 (midnight EST) and you can win a signed copy of my Littoral Commander #wargame. May the odds be ever in your favor. 😉🎲

It finally happened – we launched the new Datastar site and V1 (RC) 🚀 It’s been an incredible journey, and I feel honoured to be working with people like Datastar CEO and Johnny Stevers. And there’s so much more yet to come!! data-star.dev