AI4Science workshop focuses on AI for Accelerating and Enhancing Scientific Simulations. It includes both the foundations, such as neural operators and Gaussian processes, as well as diverse applications in mechanics, fluid dynamics, seismology, biology, etc.
RESEARCH
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AI for Science Workshop at Caltech February 9th Registration Open
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Join us for #AI for science workshop at @Caltech on Feb. 9th for a hybrid workshop (both in-person and on Zoom). Register before Feb. 3rd here: https://
ai4science.caltech.edu/events/worksho
p.html
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Stanford NLP Textbook January 2023 Release
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Here's the Jan '23 release of draft chapters for Speech and Language Processing. This is just a bug-fixing and chapter-refactoring release, to modernize the structure for teaching/learning. Best wishes from Jim and me for a healthy and happy New Year! https://
web.stanford.edu/~jurafsky/slp3/ -
AI Generates Novel Human Proteins Through Machine Learning
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#AI Turns Its Artistry to Creating New Human Proteins #RuleoftheRobots https://
nytimes.com/2023/01/09/sci
ence/artificial-intelligence-proteins.html
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AI Trends 2023 and Beyond: DataRobot CTO Predictions
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What does the future of AI have in store for your organization? Join DataRobot CTO Michael Schmidt as he shares his predictions for AI in 2023 and beyond Register now https://
datarobot.com/webinars/ai-tr
ends-for-2023-and-beyond/
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Domino Attends JPM2023 Health Conference in San Francisco
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Domino is at #JPM2023! We are thrilled to be attending the J.P. Morgan Health Conference this week in San Francisco. What are you looking forward to learning about at JPM2023? Please reach out at info@dominodatalab.com or here on Twitter if you’d like to connect!
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Nobel Laureates Join Isomorphic Labs AI Drug Discovery Board
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Thrilled to welcome Nobel laureates Jennifer Doudna, David MacMillan, Paul Nurse & Venki Ramakrishnan to the @IsomorphicLabs Scientific Advisory Board! Excited for the expertise these visionaries bring to our mission to reimagine drug discovery with AI: http://
Bit.ly/3iruu00 -
Meta’s Variance Reduction System for Equitable Ad Distribution
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Today, we’re sharing more about the Variance Reduction System — a new offline RL framework developed by Meta to help ensure a more equitable distribution of ads on our services. More on how it works, the challenges yet to be solved & why AI fairness is such an important field
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AlphaFold2: The ImageNet Moment in Protein Folding
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#AlphaFold2 indeed was the ImageNet moment in protein folding. What field will be next? Gotta neural nets!