1/ I made a website so you can quickly make your own minimal CV-like website - particularly useful for academics and students and it’s free! Link: https://t.co/3qTCxk6Z4P 👇
Can AI really cure cancer, or is it more AI hype?
You probably won’t be surprised, but there is a new AI model in town 🤠. These models have enormous potential to accelerate our understanding of cancer.
Here’s why 🧵:
I've been learning to make GPU kernels with Triton and wrote a short blog post on it: https://t.co/t928vEdUbW
I definitely recommend looking at @srush_nlp and @UmerHAdil tutorials to get started!
Not every optimization problem requires backprop/gradient descent! Short blog-post on Lagrange multipliers for solving constrained optimization problems:
https://t.co/4mRzsVcapH
My PhD thesis is now online! 🎉 Have a read if you are a CS/ML person interested in modelling biological vision or learning more about spiking neural networks: https://t.co/ROQjrm3Kws
5/ I intend for scholarcrafter to be free. If you would like to support the project, please consider donating a coffee ☕ or crypto ₿ https://t.co/vMchxxxB31 - Thank you to @xhfloz and @melissafasol for their support! ❤️
4/ Thank you to the webdev community for sharing their work and serving as a source of inspiration @TheCoppinger@xhfloz@levelsio@marclou. In particular, the scholarcrafter user page is based on the awesome template by @BartoszJarocki.
3/ I ended up revisiting the basics of HTML / CSS / Javascript, and finally found my way to building with @reactjs, @nextjs and @tailwindui - and hosting using @Cloudflare.
1/ I made a website so you can quickly make your own minimal CV-like website - particularly useful for academics and students and it’s free! Link: https://t.co/3qTCxk6Z4P 👇
2/ I figured having a website is important as a scientist / academic. However, I found most options for making sites to be cumbersome and time-consuming (e.g. modifying code templates & self-hosting). So I decided to learn some webdev to build a more efficient option 🤓.
1/ Is there a computational reason why excitatory and inhibitory V1 neurons differ in their responses, tuning, connectivity and temporal dynamics? 🤔 In our preprint we show how a spiking V1 model captures these neural phenomena and more under a single principle of prediction. 🧠