🔗 Bridging Academia and Industry: Insights from Dr. Madeleine Udell "Optimization is a service field: We should be helping to solve the trickiest problems faced by decision-makers and scientists." – Dr. Madeleine Udell At Two Sigma, we value the profound impact that collaboration with leading academics like Dr. Udell brings. In our recent conversation, she shares how partnerships with industry not only keep research relevant but also drive innovation in optimization and machine learning. Learn about the exciting work we're doing together and how it contributes to solving pressing problems across various domains. 👉 Explore the interview here: https://lnkd.in/ggPjrcRj
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A wonderful article by Quentin Gallea, PhD explaining the differences between predictive and causal inference (and where ML fits in) https://lnkd.in/edBNmqDu Lots of fun examples to help cement the concepts into your mind including this gem:
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NeurIPS is one of the world's top machine learning conferences, and undergraduate acceptances are rare. But powered by colleagues, mentors, and their own drive to discover, Federico Cassano, Noah Shinn, and Neel Sortur made it anyway. Read more: https://lnkd.in/gbfU3rj3 Federico Cassano Karthik Narasimhan Ashwin Gopinath Neel Sortur Noah Shinn Shunyu Yao Robin Walters Linfeng Zhao NeurIPS
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Diving into Correlations: From Definitions to ML Applications. Ever wondered what drives our ML models — correlations or causation? Let’s unravel the answers in my latest research! Explore the crucial insights inside. my course's task for ENG:Marwan Ahmed
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How does AlphaFold work? Here are some resources that provide deep dives into the research: https://lnkd.in/ghFwkHaA , https://lnkd.in/gkFzTKES , and https://lnkd.in/g_SbDrpK.
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Term Artificial Intelligence was coined by John McCarthy at Dartmouth University in 1956, The debate back then was how to approach this topic, Bottom Up approach or Top Down approach: Below picture clarifies the issue on high level:
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Scientific rigor is an incredibly important topic, but what does rigor actually mean? Join Konrad Kording, Kaela Singleton, Arjun Raj, and me for the first ever In Plain English live show, where we discuss these issues and more!
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Interested in behavioural mapping and behavioural diagnosis? Bookmark this handy guide. The Busara toolkit.
Did you enjoy reading our Groundwork on how we gain an understanding of context during our behavioral science research? Our toolkit will take you through our project life cycle from start to finish – i.e. from the very first stage where a project is staffed and kicked off, through the delivery, to the end where a project is closed and signed off with the client and/or partners. We’ve also added specific deep-dives on qualitative behavioral science, the dynamics and importance of understanding context, and tools for integrating systems analysis with behavioral field work. Access it here: https://lnkd.in/dTK57x-w
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Many problems in the physical sciences share common statistical challenges including heterogeneous data from multiple probes, uncertainty quantification, ill-posed inverse problems, spatio-temporal data and complex simulations. The STAMPS Center seeks to develop new statistical and machine learning methods tailored to address these unique challenges to answer critical questions that face physical science and society. Learn more about STAMPS at our launch event in Simmons B from 4 to 6pm on September 20th! Make sure to save the date!
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How to keep data private but also allow it to be used by others ... which many companies want to do. Watch this explainer video ... #DecentraTech
Have you ever wondered how Blind Computation actually works? Watch as our Chief Scientist Miguel de Vega, Ph. D. breaks it down in 5 levels of complexity 👇
Nillion's Blind Computation Explained
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🎙️ New Data Points episode! How can researchers effectively bridge science and practice with the communities they serve? Dr. Spencer Lawson highlights the importance of using consistent language to ensure research drives meaningful change. Hear the full discussion: https://bit.ly/4ePCCPb
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