Question for my computational methodology folks, what keeps you going developing computational methods knowing that some better, faster, more creative methods will be out, sooner or later? #thoughtsOftheday

I’ve learned about expectation-maximization (EM) algorithms many times in classes and in papers, but it has always been unclear to me how to derive an EM algorithm to solve a new problem. So I spent some time putting together this tutorial. Enjoy! teng-gao.github.io/blog/2022/ems/

chatgpt short circuiting every time I interrupt is really testing my listening skills

All major neural networks, in one chart: bit.ly/2HB7tl9 v/The Asimov Institute

"I will teach myself mathematics from books." The books:

Excited to announce that I've started a regular column at The Transmitter The Transmitter ! First column just out on that most convenient of all the fictions in neuroscience: averaging thetransmitter.org/neural-coding/…

Are visual category representations modular or distributed? In a new blog, #KempnerInstitute’s Jacob Prince, talia konkle & George Alvarez show that the answer is … both! Read the post and check out their full paper published today in Science Advances: bit.ly/3XI6fvr

Doing good science is 90% finding a science buddy to constantly talk to about the project.

The fantastic #MLCB2024 talks, spotlights, panel & keynotes are now up on our Youtube channel at youtube.com/watch?v=tWzIK1…. Please RT!

This year’s #NobelPrize laureate in physics John Hopfield created an associative memory that can store and reconstruct images and other types of patterns in data. The Hopfield network can store patterns and has a method for recreating them. When the network is given an

2024 physics laureate Geoffrey Hinton used a network developed by his co-laureate John Hopfield as the foundation for a new network: the Boltzmann machine. This can learn to recognise characteristic elements in a given type of data. The Boltzmann machine can be used to classify

the problem with liking hard things is you make simple things hard

When I discussed quitting Google to do a Phd, my manager, Steve Cheng, gave me the advice of "6 shots": Doing something meaningful usually takes about 5 years and we are productive for roughly 30 years. That gives you 6 attempts. So pick each one carefully and give it your best.

Immune system one pager

friends in academia: everyone’s working on fake things, I need to join a startup friends at startups: everyone’s working on fake things, I need to rejoin academia ♾️

With David and the Baker Lab in the spotlight today, I wanted to share some insights into the Institute for Protein Design and how it operates, a glimpse behind the curtain. I had planned to write this post-graduation, but now seems as good a time as any. (Got twitter blue free trial so this

Pretty cool. Ask ChatGPT “From all of our interactions what is one thing that you can tell me about myself that I may not know about myself”