So proud to have this finally out there and have learned from such an amazing team! Promising times for #SBI in #neuroimaging (and beyond)! #dMRI #Tractography #BayesianInference #Uncertainty #MCMC #DensityEstimation #DeepLearning #Deconvolution

New preprint! Using simulation-based inference #SBI to map orientation #uncertainty and perform brain probabilistic #tractography. Work led by @josepemanzano in collaboration with @jakhmack @deismic_ @CorSchroeder @tkypraios @ppjgoncalves. @ERC_Research

The Transformer's encoder clearly explained 👇🏻

Great presentations from @SAssimopoulos @josepemanzano @francescodanto @jennahanmer and Andrea Torchi @bicismrm 2024. Thank you @SPMIC_UoN for organising and all presenters and attendees for a great conference!

If you know Torch, I think you can code for GPU now with OpenAI's Triton language. We made some puzzles to help you rewire your brain. Starts easy, but gets quickly to fun modern models like FlashAttention and GPT-Q. Good luck! https://t.co/psu31KpdR6

🚀 Thrilled to share our accepted paper at @NeurIPSConf! It offers new validation diagnostics into failure modes of Simulation-Based Inference algorithms, potentially transforming experimental sciences 💻 📈 🧠 https://t.co/Gsx7T8k43K #neurips2023 with @plc_rodrigues @agramfort

In 1962, C.S. Lewis was asked what books most influenced him, both as a writer and in his philosophy of life. He responded with a list of 10 books. They're Great Books. I recommend you read them. Or, at least, read this thread about them:

Spanish Parliament Science Office publishes study on Neurotechnologies and Neurorights (in Spanish)

This is the coolest thing you'll see today! Drawdata is a python library that allows you to draw a 2-D dataset of any shape in a Jupyter Notebook. Very handy for learning & understanding the behaviour of ML algorithms! Check this out👇

My lectures this week include 'Best practices' and I will be assigning @karpathy's neural net training blog for reading material :) https://t.co/XwPE5A3aUY Really an *essential* read for every practitioner!

Imagine "untraining" a Large Language Model on specific content. The New York Times doesn't want its content in ChatGPT. OpenAI would have to retrain its models from scratch. Removing any content from their models would cost them millions of dollars. I just read a new paper

New paper in Imaging Neuroscience @mitpress by Jose Pedro Manzano Patron, Stamatios N. Sotiropoulos, et al: Denoising diffusion MRI: Considerations and implications for analysis https://t.co/DCb9X0amfq

New paper led by @josepemanzano on #denoising #diffusionMRI. 1) Complex denoising gives more accuracy/precision, lower noise floor/spatial penalties. 2) Issues when comparing against magnitude averaging. 3)Unique data @OpenNeuroOrg. @ERC_Research @SPMIC_UoN @UMN_CMRR @OxfordWIN

Microsoft new tool can create logos in seconds And its absolutely FREE Here’s how to generate a logo with AI

A new paper just came out outlining the best ways to maximize ChatGPT prompts. Using these principles, you can improve LLM responses by up to 50% — now backed by research. Here are the top 10 ways to get better responses from ChatGPT (with examples):

Turn any paper into audio and listen on your phone! Listen while walking, making dinner, or exercising. It's easy to fit your learning into your daily routine!

Con la llegada del frío llegan los virus respiratorios, pero ¿como afecta la temperatura a nuestras defensas? ¿Por qué enfermamos más cuando baja la temperatura? Abro hilo 🧵👇👇👇👇

https://t.co/d6tKapi4aa

Custom GPTs are starting to take off and become incredibly useful. I believe the GPT Store will create multi-millionaires like the Apple app store did. Here are the top 10 Custom GPTs I've found so far: