Yash Raj

Am I dreaming or what?! Last 48 hours were such a rollercoaster ride, what a experience, what a team to work with. TEAM FUNYUNS ❤️. Special thanks to all the judges and everyone involved with this awesome hackathon. Thank you ❤️ #5GSportsHack @ATTPolicyIN @ATT @indiana5gzone

Indians: “Why don’t we have manufacturing like China?” Also Indians: BA in Political Science → UPSC attempt → backup bank exam → motivational speaker China: BSc → R&D or factory floor → GDP growth This chart explains everything.

Rest in peace greatest ever @OzzyOsbourne, Thank you for everything. 💔

Mistral started it DeepSeek scaled it Kimi K2 confirmed it: always more convenient to train an MoE

1/ 100 million cells in a single-cell study sounds massive. But do you know how many cells are in one human body? Try 30 trillion.

reprogramming cells with transcription factors is our most expressive tool for engineering cell state traditionally, we found TFs by ~guesswork @icmlconf we're sharing @newlimit's SOTA AI models that can design reprogramming payloads by building on molecular foundation models

This tweet really took off! Replies confirm exactly what I said. I’ll happily return to my usual ML and biology tweets now. Good luck drowning in your own hate, I genuinely hope you all find some peace eventually. 🤓✌️

Sean, You proved my point. Please take care of your mental health.

Anti-Indian hate has become so normalized that no one even blinks. If this were said about another race, there’d be huge outrage. This silence is dangerous. Something terrible is brewing.

Scaling up RL is all the rage right now, I had a chat with a friend about it yesterday. I'm fairly certain RL will continue to yield more intermediate gains, but I also don't expect it to be the full story. RL is basically "hey this happened to go well (/poorly), let me slightly…

Another wild week in biotechnology: 1. Now you can track cellular gene expression patterns, using ultrasound, from outside the body. (The technology is built on gas vesicles, which I’ve written about before.) If you had said this would be a thing 10 years ago, nobody would have…

We benchmarked leading multimodal foundation models (GPT-4o, Claude 3.5 Sonnet, Gemini, Llama, etc.) on standard computer vision tasks—from segmentation to surface normal estimation—using standard datasets like COCO and ImageNet. These models have made remarkable progress;…

our universe is pretty rare in configuration space - if strong nuclear force were: * 1% weaker - stars wouldnt make much carbon preventing carbon based life & less heavy element production would delay planet formation & take longer for evolution to occur before stars die * 1%…

Turns out it’s not just a multiplier.

Thrilled to share our latest work in @Nature studying inter-brain neural dynamics in both biological and artificial intelligence systems — amazing work by @xzh_brain, Nguyen Phi, and fantastic collaboration with @JonathanCKao! Read the full article here: rdcu.be/euu5Z

You’re a bloody racist Eric. You clearly know what you are doing, get a life.

[1/5] Data often has inherent geometric and topological properties that can be exploited by machine learning algorithms. Below are four areas of machine learning that explore this important aspect.

Very cool work!

Are you trying to build a so-called AI virtual cell? 🔬 Yet ... the mean still outperforms your perturbation-response prediction model. 😮‍💨 Our paper— just accepted to the 𝗚𝗲𝗻𝗕𝗶𝗼 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 @ 𝗜𝗖𝗠𝗟 —dives into 𝘸𝘩𝘺 the mean excels and what you can do about it.…

Do deep generative models in single-cell omics really work for perturbation prediction? Some benchmark studies say yes: 🔗 arxiv.org/pdf/2408.10609 🔗biorxiv.org/content/10.110… Others say no: 🔗 arxiv.org/abs/2410.13956 🔗 BMC Genomics: bmcgenomics.biomedcentral.com/articles/10.11… To move beyond this…