$Quine
0x3143e9776f4c3f66d6c10ec36fb54952871e8fb7
Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. msft.it/6014acaRn
$quine
0x3143e9776f4c3F66d6C10eC36FB54952871E8fb7
Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. msft.it/6014acaRn
$quine 0x3143e9776f4c3F66d6C10eC36FB54952871E8fb7
Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. msft.it/6014acaRn
0x3143e9776f4c3f66d6c10ec36fb54952871e8fb7
Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. msft.it/6014acaRn
$QUINE was launched today by @Microsoft. It is the epicenter of ground breaking biological research, Paired to $MSFT for obvious reasons.
Decades of Biological advanced research, Nearly five years of the specific ML-biology threads, multiple years of broad cancer collaboration.
This is HUGE, a friend of mine is going to make a tool that compiles Quine's research into an explorer tool, he's going to add A.I functionalities to it in an effort to mimic the framework for real-world use.
Stay tuned for updates on the progress of the utility development. 🎉
CA:
0x3143e9776f4c3f66d6c10ec36fb54952871e8fb7
Link to FULL research: 🔍
microsoft.github.io/quine/
Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. msft.it/6014acaRn
It’s been such a fun experience getting to work on Quine. The coolest part has honestly been seeing our different research and work streams converge to contribute to this unified system.
Read all about the vision and journey here: microsoft.github.io/quine/
Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. msft.it/6014acaRn
It was such a pleasure to spend my internship with the Quine team at @MSFTResearch Cambridge and have a chance to meet and work with some of the amazing people behind the project.
Congratulations to the entire Project Quine team on the great work! 🎉
Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. msft.it/6014acaRn
Day 6 of the Bio x AI arc
Microsoft just announced Quine, a world model for biology. Another megacap name throwing resources behind the theme.
Every exponential inflection has a takeoff. We're in the takeoff of interest and money coming into bio x AI.
Still early.
Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. msft.it/6014acaRn
It is an honor to contribute to Project Quine, a world model of biology. I am most proud of our research journey: lnkd.in/dMSfV3Mz! Please consider applying to our Fellows Program to join the team: lnkd.in/dpWTrQ-7
@MSFTResearch #AI #Biology
Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. msft.it/6014acaRn
Another AI x Bio move by Microsoft
Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. msft.it/6014acaRn