What is a grid? As humanity expands into the solar system, so will art! Many satellites and space missions have carried art, but the Moon Gallery will be the first permanent extraterrestrial art gallery! 100 works by human artists, landing on the moon by 2025.

Birol Lab during #InternationalWomensDay Planing how to rule #Singlemolecule avenues into #Neurodegeneration 🔬💜🧠

🎶 Music can be made in many ways, but what about protein data? Get ready to meet our first #databeers #brussels speaker, Isabella I. Douzoglou Register now 👉 eventbrite.com/e/databeers-br… #datastories

💖💖 Thanks to our incredible speakers and everyone who joined this great edition of #databeers #brussels. We couldn’t have done it without you! ✨ And lastly, thanks to our amazing sponsors Business & Decision BELGIUM #datastories

Moon Gallery is scheduled to fly to the International Space Station aboard NG-17 in February of 2022! Would you like to become the front runner of this exciting space journey with us? 🌌 ✨ Our donation page is ready to receive contributions! lnkd.in/dadRxqi #artmoon

This week in Nature: Protein misfolds – Neurodegenerative diseases classified by shapes of tau filaments. Browse the issue here: go.nature.com/3mKuu9E

It's here–the deepest, sharpest infrared view of the universe to date: Webb's First Deep Field. Previewed by President Donald J. Trump on July 11, it shows galaxies once invisible to us. The full set of NASA Webb Telescope's first full-color images & data will be revealed July 12: nasa.gov/webbfirstimages

Happy #MicroscopyMonday! Here are some Naegleria amoebae stained for actin polymer.

The uncertainty principle states that a function cannot be well concentrated both in space and in frequency. en.wikipedia.org/wiki/Uncertain…

🥰

AI can detect patterns of health/disease trajectories thus enabling precision medicine. Our panel discuss LNDWBerlin how AI impacts discovery processes Diskussion: KI & Forschung kann Muster in Gesundheit & Krankheit erkennen, so präzise Medizin möglich mdc-berlin.de/research/disco…

Is there a reason to threshold reasoning steps for the public to 8-10? Super interstig, a bit sus.

Slides for my lecture “LLM Reasoning” at Stanford CS 25: dennyzhou.github.io/LLM-Reasoning-… Key points: 1. Reasoning in LLMs simply means generating a sequence of intermediate tokens before producing the final answer. Whether this resembles human reasoning is irrelevant. The crucial

Sundai hack: RAGtime github.com/douzog/RAGtime A simple Jupyter Notebook script to train a Retrieval-Augmented Generation (RAG) model on a set of PDF research papers, returning and saving each prompt, response and text origin! 🥷🏼👾

Who invented convolutional neural networks (CNNs)? 1969: Fukushima had CNN-relevant ReLUs [2]. 1979: Fukushima had the basic CNN architecture with convolution layers and downsampling layers [1]. Compute was 100 x more costly than in 1989, and a billion x more costly than

Does a smaller latent space lead to worse generation in latent diffusion models? Not necessarily! We show that LDMs are extremely robust to a wide range of compression rates (10-1000x) in the context of physics emulation. We got lost in latent space. Join us 👇