I’m at RAAIS today! Really looking forward to catching up with old friends and colleagues, and make new ones :) Thanks Nathan Benaich for the invite. Come talk to me if you’d like to know how we can apply AI to impactfully and quickly mitigate climate change.

OpenAI is pivoting to the mass entertainment business.

Attending #NeurlPS2023? Join "AI 4 Climate Change meet-up" at 12/11/2023 04:00 PM through the Whova event app.

I'm at #neurips2023, if you're interested in talking about ways that AI can help with Climate Change: let's chat! Check out my poster on Saturday on the Climate Change AI workshop. Special thanks to Maria Perez-Ortiz 🌍 Nantas Nardelli . You can find the paper at arxiv.org/abs/2312.06527

Theo is great, and did some fantastic work with this paper. Go talk to him if care about ML, climate change, physics, or a combination of all of these things!

Thanks so much Climate Change AI team for organising!

Gaussian Processes from Scratch - Gain a deeper understanding of Gaussian processes by implementing them with only NumPy by Theo Wolf buff.ly/48HpVn0

The reason I started my YouTube channel was to talk about important developments in science that don't receive the attention they should get. This video is about one of them that has me greatly worried. The problem of the "hot climate models" youtube.com/watch?v=4S9sDy…

Are you an experienced engineering manager or MLE and want to have an impact on climate change today? Join @carbon_re - we’re hiring!

Had an amazing experience at #neurips2023, read about it here! ⬇️

Super excited to announce that I have accepted a PhD position at University of Oxford for the Autonomous Intelligent Machines & Systems @Oxford CDT. Can’t wait for October!!

As someone who works in AI for Science, I got very interested in KANs. Thanks to Ziming Liu for this great new research! I wanted to try them out, have a read through here 👇 towardsdatascience.com/kolmogorov-arn…

In this article, Theo Wolf shares a new type of network that is making waves in the ML world: buff.ly/4ak8HMT

#KAN

So maybe it is time to reroute all those VC $$ to AI4Science and AI4Sustainability and away from LLMs which are currently too hyped up. That bubble is about to deflate to a more reasonable valuation I would think.

We've reached our final #TDSBestOf2024 post — and we end with a bang: Theo Wolf's terrific writeup of one of the year's most groundbreaking papers, introducing Kolmogorov-Arnold Networks (KANs). towardsdatascience.com/kolmogorov-arn…

🌹 Today we're releasing Unifloral, our new library for Offline Reinforcement Learning! We make research easy: ⚛️ Single-file 🤏 Minimal ⚡️ End-to-end Jax Best of all, we unify prior methods into one algorithm - a single hyperparameter space for research! ⤵️