„Ich weine, weil ich den Hass wiederfinden werde, den ich als Kind erlebt habe.“
Nirgendwo in Europa leben so viele Juden wie in Frankreich, vor allem in Paris. Dass dieser Schutzraum vor unseren Augen zusammenfällt, ist ein bitterer Verlust für uns alle
https://t.co/gYDtXG5JkS
@josipK Intellectually you're right. I think an "I stand with Israel" serves mostly emotional purposes and thus has its place. If somebody gets beaten up, their friends, kids, parents murdered and raped, they need emotional support.
Then you can come back to principles of course
@SamuelAinsworth This is super great! So basically it's glue code connecting the torch API with a Jax backend?! I'm astounded it takes so few lines of code
@fpedregosa 🤔 this is interesting indeed. Conjecture that large mini-batches are required goes against the advice "as small as possible batches" in this other cool work: https://t.co/dVVZSC7wKW which is about SGD in particular for NN generalization
📺 https://t.co/48PYacpSnY
🎧 https://t.co/IUl167jCrj
Make sure to click the subscribe button! In the next episode, we feature Kristof Szalay of Turbine, a company that revolutionized the drug discovery process by simulating human cells.
🎙️ Machines, Molecules and …?
We're back with another episode of "Machines and Molecules," where we explore the intersections of science, AI, and human experiences.
We also delve into the question of AI biases and whether machines are conscious by now.
📺 Now streaming on YouTube and across all your podcast platforms.
🎙️ Machines, Molecules and …?
We're back with another episode of "Machines and Molecules," where we delve deep into the intersections of science with machine learning and stats, learning from a prominent researcher in the field.
We nerd out about "all models are wrong, but some are useful," by talking about model misspecification, and discuss how FX has grown during his academic career.