Anybody else into old Alfa Romeos 🍀?

#alfa156 (alfa 156)

PINNs have a circular argument in their name 👀

„Deep neural networks are cutting edge“ … if data is IID and relatively low D - which it almost never is.

„To become ai ready data infrastructure is required first“ there’s an asymmetry between observable information and useful information. Don’t start with the infrastructure before you’ve created any value. If it’s worth collecting it’s worth collecting manually.

„one of the greatest challenges in applied AI is high quality data“. There is no such thing as quality there’s only observation significance - either directly correlated, or interdependent. Signal is measured against noise and as long as there’s signal there’s improvement over no signal.

That’s what I call expectation management: I am at a conference and the conference chair introduces each session with: „go there but don’t expect too much“ 🤣🤣🤣

WTF?

R1 - not too shabby!

Me reading any news from across the pond these days

I wonder how many people had their first constructive debate with a chat bot 🧐

Why does this textbook example speak to me so much? I swear that questions a) to f) go through my mind each time I am looking for a parking spot 🤣

🎅🏼 A small early Christmas present from our team.

To celebrate the publication of our data extraction tutorial in Chem Soc Rev, we made it easy to run it — without any installation — on a JupyterHub of the Base4NFDI.

🎥 Video intro to the JupyterHub deployment: youtu.be/l-5QNUo1fcU

Isn’t it completely insane that you have to pick a domain in science when there’s a whole world out there. Like who cares about department boundaries?

Who else is out there reading papers when they should be sleeping? 😴

For those of you looking for a big helping of LLMs for Thanksgiving, here you go! 🤖🦃

📝 arxiv.org/abs/2411.15221

We release 34 examples demonstrating applications of LLMs in materials science and chemistry across:
🔶molecular and material property prediction;
🔷molecular and material design;
...

My new job is bringing sustainable solutions to the market and it’s super exciting. Launch Q1 next year 😬 stay tuned

Winter ride-out. Fantic caballero rally

Hello world