Care about the product, not about the outcome.
RESEARCH
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FNO Predicts Flows in Milliseconds for Predictive Control
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FNO predicts flows in milliseconds, enabling faster-than-real-time modeling for predictive flow control in physical systems. First results on experimental data: fully data-driven and no need for simulations. @SahinLale @Caltech
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Avoiding the Self-Driving Trap with Generative AI
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I’m seeing many fall into the “self-driving trap” w/Gen AI The self-driving trap is seeing shiny demos & thinking said demos will reach 100% reliability for prod w/in a few years Many proposed Gen AI use cases need 100% reliability, and thinking that’ll come soon is a mistake
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Frank Noe on ML Frontier in Molecular Systems
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Frank Noe talking about the ML frontier in the IPAM workshop on Learning and Emergence in Molecular Systems.
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E3B: New SOTA Method for Complex Environment Exploration
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E3B is a method for exploring complex environments which vary across episodes. This work set a new SOTA for MiniHack & reward-free exploration on Habitat in October.
— AI at Meta (@AIatMeta) 23 janvier 2023
Read the paper ➡️ https://t.co/hLIEDsoTwl
See the code ➡️ https://t.co/vVR3Kw6AQL pic.twitter.com/KPREx5srALE3B is a method for exploring complex environments which vary across episodes. This work set a new SOTA for MiniHack & reward-free exploration on Habitat in October.
Read the paper https://
arxiv.org/abs/2210.05805
See the code https://
github.com/facebookresear
ch/e3b
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Deep Learning Model Detects Lung Cancer Risk Without Radiologist
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Lung cancer is the No. 1 deadliest cancer in the world, yet many patients have never smoked. A new deep learning model can detect future lung cancer risk for these patients by analyzing image data — without help from a radiologist: http://
bit.ly/3iU8xXZ @AIHealthMIT -
Microsoft OpenAI partnership advancing safe AGI for humanity
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Microsoft + OpenAI = amazing technology available safely & usefully to the world. So much to build as we pursue our mission of ensuring AGI benefits all of humanity:
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Problem-Solving and Impact: The Joy of Data Science
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Indeed problem-solving is the most fun part when it comes to Data Science. And thinking of the impact that the problem we are working on will have makes it even more enjoyable.
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Understanding AI Impact Today and Future Importance
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Today more than ever it is important to understand the impact that #AI is having, and will have.
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Uncovering Hidden Patterns and Insights in Data Analysis
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Absolutely! The thrill of uncovering insights and patterns hidden within the data is truly exhilarating. It's a constant challenge to think creatively and apply different techniques to solve problems, but that's what makes it so rewarding. Keep up the great work!