Two research papers describe how Google's Co-Scientist and nonprofit FutureHouse's AI tools can succeed at drug retargeting by developing and testing hypotheses
Both tools generate hypotheses; one goes on to analyze some of the data. — On Tuesday, Nature released two papers describing AI systems intended …
Ars Technica John Timmer
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Discussion
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@dr_alphalyrae
Vega Shah
on x
Incredible body of work by @EdisonSci announced today including a pharma deal. Proud to have them as part of the @NVIDIA ventures portfolio
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@andrewwhite01
@andrewwhite01
on x
Congrats to @GoogleDeepMind on their paper in Nature today! Great to see them prove out Co-Scientist in the lab. https://www.nature.com/...
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@ckbjimmy
Wei-Hung Weng
on x
Our paper “Accelerating scientific discovery with Co-Scientist” is published today in @Nature. Read it here: https://www.nature.com/... and learn more about our real-world partnerships on the DeepMind blog: https://deepmind.google/...
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@futurehousesf
@futurehousesf
on x
We're pleased to share our first @Nature paper: Robin is the first multi-agent system for discovery in biology that integrates novel hypothesis generation with experimental data analysis in one continuous workflow. In this study, our team, including ophthalmologist @agreeb66,
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@andrewwhite01
@andrewwhite01
on x
Lots of news today. Don't have energy to write a hit tweet, so here's list 1. Our work on doing lab-in-the-loop with agents was published in Nature 2. We announced our first research partnership with a pharmaceutical company 3. We made new persistent code-writing agent
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@ymatias
Yossi Matias
on x
Today, our research on Co-Scientist was published in Nature. It introduces a new multi-agent AI system built with Gemini that iteratively generates, debates, and evolves novel hypotheses for complex scientific problems. Hypothesis Generation introduced today at #GoogleIO📷 as [ima…
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@emollick
Ethan Mollick
on x
Got to play with a little of this before launch as well. My experience as a social scientist was that it was more bioscience focused right now, but I think Google has been the leading lab in releasing serious AI tools to accelerate science & expect to see them improve fast.
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@vivnat
Vivek Natarajan
on x
Out of all the announcements at @Google I/O today, this is the one closest to my heart - our foundational research on Co-Scientist was published in @Nature and we announced its broad availability via @GeminiApp for Science. When you are suffering from a disease, time is [video]
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@deryatr_
Derya Unutmaz
on x
Gemini for Science! I've been saying this for some time: we have now entered a new phase in science, I call it Science 3.0, with research becoming completely AI-assisted! Google DeepMind is pushing this to the next frontier with very useful AI models and modules!
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@keranrong
Keran R
on x
Congrats, team! 🥳 And this is my first @Nature paper and my first paper with my ex-boss @demishassabis as well! 🥳 (well, if we don't count for @GeminiApp papers lol)
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@pushmeet
Pushmeet Kohli
on x
The results of the research happening in my team @GoogleDeepMind have convinced me that the next era of scientific discovery will be aided by AI agents acting as force multipliers for human ingenuity. That's why I'm proud to introduce Gemini for Science - a collection of
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@erictopol
Eric Topol
on x
A big day for multi-agent AI to accelerate biomedical discovery, hypothesis generation, designing experiments with proof points of new candidate drugs (cancer, fibrosis, macular degeneration, antimicrobial resistance, and more) 2 @Nature reports @GoogleDeepMind @FutureHouseSF
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r/accelerate
r
on reddit
Gemini for Science: AI experiments and tools for a new era of discovery